~ · home · developer-tools-infra multi-agent-orchestrator · 99

Multi Agent Orchestrator

Query this niche via MCPmarket_report({ query: "Multi Agent Orchestrator", response_mode: "summary" })
active marketmarket pulse 42/100commercial money present0 new builders in 30d99 listings
basis: all observed monthly plans · commercial-form-v2
Agents · median
$22/mo
3 providers · median of every priced plan point, all tiers · thin evidence
MCP servers · median
None priced — too few for a MCP servers median.

All plans — Agents vs MCPs

each dot = one provider · log scale
Agents $22
agentid · $8
denker · $22
conductor · $50
$10
$25
$50
AgentsMCP serversshaded = middle half · line = median

All plans

3 priced
Providervs its cohort medianMonthly
agentidagent
$8 below
denkeragent
$22 ~median
conductoragent
$50 above
Position is relative to the provider's own delivery-type median at this tier — never a blended one.
What the figures on this page are. This page is Agentery's fixed-niche view of Multi Agent Orchestrator (latest observation 2026-10-15T03:43:03.005Z). The headline medians above are computed from that data per delivery type and buyer-tier tab: on a tier tab, the median of each provider's plan at that tier; on “All”, every priced plan point across tiers pooled. Small cohorts show as “too few” rather than a median. The embedded response below is the broader fixed-niche report: its by_provider_type.*.median pools all tiers, pricing.byPersona.* is per buyer tier, and the unit cohorts (e.g. Pro flat) are per tier and billing unit — so those blocks legitimately differ from one headline figure. Over MCP today the advertised tools are market_report (a semantic neighbourhood for your query, not this fixed niche) and price_benchmark (query/task); niche_report stays callable as a legacy alias. Their cohorts are defined differently, so their numbers can differ from this page.
market_reportprice_benchmark
See the MCP response behind this pagefixed-niche report (legacy niche_report alias, full mode) — broader than the headline figure
{
  "niche": "multi-agent-orchestrator",
  "parent_sector": "developer-tools-infra",
  "provider_type_pricing": {
    "slug": "multi-agent-orchestrator",
    "pricing_basis": "lowest_observed_monthly_usd",
    "provider_type_methodology": "commercial-form-v2",
    "provider_type_methodology_published_at": "2026-07-31",
    "blended": {
      "median": 20.62,
      "p25": null,
      "p75": null,
      "providers": 6
    },
    "by_provider_type": {
      "agent": {
        "median": 20,
        "p25": null,
        "p75": null,
        "providers": 5,
        "publishable": true,
        "confidence": "moderate"
      },
      "mcp": {
        "median": null,
        "p25": null,
        "p75": null,
        "providers": 1,
        "publishable": false,
        "confidence": "insufficient",
        "reason": "Fewer than three comparable priced MCP servers are available."
      }
    },
    "recommended_cohort": null,
    "recommendation_reason": "Choose the cohort according to the commercial delivery type being assessed.",
    "fallback_context": null,
    "context_note": null
  },
  "crowding_level": "emerging",
  "observed_node_count": 6,
  "adjacent_niches": [
    "ai-frontend-coding",
    "incident-response-sre",
    "mcp-platform-provider",
    "infrastructure-provisioning-iac",
    "on-call-management-agent",
    "legacy-code-modernization"
  ],
  "market_pulse": {
    "pulse": 42,
    "drivers": [],
    "price_move_30d_pct": -1.3,
    "money_share": 0.21428571428571427,
    "entry_rate": 0,
    "alive_share": 0.9818181818181818
  },
  "price_move": {
    "d_pct": 0,
    "w_pct": 0,
    "m_pct": 0,
    "comparable_agents": 6,
    "quarantined_agents": 0,
    "confidence": "high",
    "published": {
      "d": false,
      "w": false,
      "m": false
    },
    "held_reason": {
      "d": null,
      "w": null,
      "m": null
    },
    "driver": {
      "d": null,
      "w": null,
      "m": null
    },
    "tier_contribution": {
      "d": {
        "individual": 0,
        "pro": 0,
        "team_sme": 0,
        "enterprise": 0
      },
      "w": {
        "individual": 0,
        "pro": 0,
        "team_sme": 0,
        "enterprise": 0
      },
      "m": {
        "individual": 0,
        "pro": 0,
        "team_sme": 0,
        "enterprise": 0
      }
    },
    "tier_series": {
      "individual": [
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100
      ],
      "pro": [
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729,
        98.729
      ],
      "team_sme": [
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100
      ],
      "enterprise": [
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100
      ]
    },
    "tier_own_move": {
      "d": {
        "individual": 0,
        "pro": 0,
        "team_sme": 0,
        "enterprise": 0
      },
      "w": {
        "individual": 0,
        "pro": 0,
        "team_sme": 0,
        "enterprise": 0
      },
      "m": {
        "individual": 0,
        "pro": 0,
        "team_sme": 0,
        "enterprise": 0
      }
    },
    "tier_agents": {
      "individual": 3,
      "pro": 5,
      "team_sme": 3,
      "enterprise": 1
    },
    "obs_range": {
      "d": null,
      "w": null,
      "m": null
    },
    "tier_obs_range": {
      "d": {
        "individual": null,
        "pro": null,
        "team_sme": null,
        "enterprise": null
      },
      "w": {
        "individual": null,
        "pro": null,
        "team_sme": null,
        "enterprise": null
      },
      "m": {
        "individual": null,
        "pro": null,
        "team_sme": null,
        "enterprise": null
      }
    }
  },
  "pricing": {
    "sampleSize": 99,
    "observed": 14,
    "byPersona": {
      "free": {
        "n": 12,
        "nPriced": 0,
        "reliability": "none",
        "median": null,
        "p25": null,
        "p75": null,
        "min": null,
        "max": null,
        "mean": null,
        "stdev": null,
        "usageShare": 0.08
      },
      "individual": {
        "n": 6,
        "nPriced": 4,
        "reliability": "low",
        "median": 7.5,
        "p25": 3.75,
        "p75": 12.25,
        "min": 0.01,
        "max": 19,
        "mean": 8.5,
        "stdev": 8.1,
        "usageShare": 0.5
      },
      "pro": {
        "n": 8,
        "nPriced": 7,
        "reliability": "medium",
        "median": 25,
        "p25": 19.5,
        "p75": 54.5,
        "min": 7.99,
        "max": 125,
        "mean": 43.71,
        "stdev": 40.17,
        "usageShare": 0
      },
      "team_sme": {
        "n": 5,
        "nPriced": 5,
        "reliability": "medium",
        "median": 100,
        "p25": 60,
        "p75": 220,
        "min": 25,
        "max": 500,
        "mean": 181,
        "stdev": 192.89,
        "usageShare": 0
      },
      "enterprise": {
        "n": 3,
        "nPriced": 1,
        "reliability": "none",
        "median": 40,
        "p25": 40,
        "p75": 40,
        "min": 40,
        "max": 40,
        "mean": 40,
        "stdev": 0,
        "usageShare": 0
      }
    },
    "byPersonaMonthly": {
      "free": {
        "nMonthly": 0,
        "p25": null,
        "median": null,
        "p75": null,
        "confidence": "none",
        "usageShare": 0.08,
        "mixedBilling": true,
        "monthlyComparable": false
      },
      "individual": {
        "nMonthly": 2,
        "p25": 8.5,
        "median": 12,
        "p75": 15.5,
        "confidence": "low",
        "usageShare": 0.5,
        "mixedBilling": true,
        "monthlyComparable": true
      },
      "pro": {
        "nMonthly": 7,
        "p25": 19.5,
        "median": 25,
        "p75": 54.5,
        "confidence": "medium",
        "usageShare": 0,
        "mixedBilling": false,
        "monthlyComparable": true
      },
      "team_sme": {
        "nMonthly": 5,
        "p25": 60,
        "median": 100,
        "p75": 220,
        "confidence": "medium",
        "usageShare": 0,
        "mixedBilling": false,
        "monthlyComparable": true
      },
      "enterprise": {
        "nMonthly": 1,
        "p25": null,
        "median": null,
        "p75": null,
        "confidence": "none",
        "usageShare": 0,
        "mixedBilling": false,
        "monthlyComparable": false
      }
    },
    "byTierCohorts": {
      "status": "ok",
      "cohorts": [
        {
          "tier": "individual",
          "currency": "USD",
          "period": "month",
          "unit": "flat",
          "median": 13.33,
          "provider_count": 2,
          "plan_observation_count": 2,
          "data_confidence": 0.15,
          "data_confidence_basis": {
            "provider_component": 0.17,
            "observation_component": 0.1,
            "provider_count": 2,
            "plan_observation_count": 2
          },
          "reliability": "low",
          "members": [
            {
              "provider": "bernstein",
              "usd": 5
            },
            {
              "provider": "fleetq",
              "usd": 21.66
            }
          ]
        },
        {
          "tier": "pro",
          "currency": "USD",
          "period": "month",
          "unit": "flat",
          "median": 35.83,
          "provider_count": 4,
          "plan_observation_count": 4,
          "data_confidence": 0.31,
          "data_confidence_basis": {
            "provider_component": 0.33,
            "observation_component": 0.2,
            "provider_count": 4,
            "plan_observation_count": 4
          },
          "reliability": "low",
          "members": [
            {
              "provider": "agentid",
              "usd": 7.99
            },
            {
              "provider": "denker",
              "usd": 21.66
            },
            {
              "provider": "conductor",
              "usd": 50
            },
            {
              "provider": "fleetq",
              "usd": 67.26
            }
          ]
        },
        {
          "tier": "team_sme",
          "currency": "USD",
          "period": "month",
          "unit": "flat",
          "median": 175.4,
          "provider_count": 2,
          "plan_observation_count": 4,
          "data_confidence": 0.17,
          "data_confidence_basis": {
            "provider_component": 0.17,
            "observation_component": 0.2,
            "provider_count": 2,
            "plan_observation_count": 4
          },
          "reliability": "low",
          "members": [
            {
              "provider": "bernstein",
              "usd": 100
            },
            {
              "provider": "fleetq",
              "usd": 250.8
            }
          ]
        }
      ],
      "rejected": {
        "one_time": 3,
        "usage_not_monthly": 2,
        "ambiguous_cadence": 2
      },
      "evidence": {
        "status": "ok",
        "single_observations": [],
        "observed_offers": [
          {
            "billing": "monthly",
            "unit": "flat",
            "count": 10,
            "offers": [
              {
                "provider": "agentid",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "$7.99/MO",
                "monthly_usd": 7.99
              },
              {
                "provider": "bernstein",
                "tier": "individual",
                "billing": "monthly",
                "unit": "flat",
                "price": "$5/mo",
                "monthly_usd": 5
              },
              {
                "provider": "bernstein",
                "tier": "team_sme",
                "billing": "monthly",
                "unit": "flat",
                "price": "$25/mo",
                "monthly_usd": 25
              },
              {
                "provider": "bernstein",
                "tier": "team_sme",
                "billing": "monthly",
                "unit": "flat",
                "price": "$100/mo",
                "monthly_usd": 100
              },
              {
                "provider": "bernstein",
                "tier": "team_sme",
                "billing": "monthly",
                "unit": "flat",
                "price": "$500/mo",
                "monthly_usd": 500
              },
              {
                "provider": "conductor",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "$50 /mo",
                "monthly_usd": 50
              },
              {
                "provider": "denker",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "€19 / month",
                "monthly_usd": 21.66
              },
              {
                "provider": "fleetq",
                "tier": "individual",
                "billing": "monthly",
                "unit": "flat",
                "price": "19 €/month",
                "monthly_usd": 21.66
              },
              {
                "provider": "fleetq",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "59 €/month",
                "monthly_usd": 67.26
              },
              {
                "provider": "fleetq",
                "tier": "team_sme",
                "billing": "monthly",
                "unit": "flat",
                "price": "220 €/month",
                "monthly_usd": 250.8
              }
            ]
          },
          {
            "billing": "monthly",
            "unit": "per_user",
            "count": 5,
            "offers": [
              {
                "provider": "aws_quick_automate",
                "tier": "pro",
                "billing": "monthly",
                "unit": "per_user",
                "price": "$25/user/month billed monthly",
                "monthly_usd": 25
              },
              {
                "provider": "aws_quick_automate",
                "tier": "pro",
                "billing": "monthly",
                "unit": "per_user",
                "price": "$125/user/month billed monthly",
                "monthly_usd": 125
              },
              {
                "provider": "aws_quick_automate",
                "tier": "pro",
                "billing": "monthly",
                "unit": "per_user",
                "price": "$20/user/month",
                "monthly_usd": 20
              },
              {
                "provider": "aws_quick_automate",
                "tier": "enterprise",
                "billing": "monthly",
                "unit": "per_user",
                "price": "$40/user/month",
                "monthly_usd": 40
              },
              {
                "provider": "conductor",
                "tier": "team_sme",
                "billing": "monthly",
                "unit": "per_user",
                "price": "$60 /mo/user",
                "monthly_usd": 60
              }
            ]
          },
          {
            "billing": "one_time",
            "unit": "flat",
            "count": 3,
            "offers": [
              {
                "provider": "bernstein",
                "tier": "pro",
                "billing": "one_time",
                "unit": "flat",
                "price": "$25",
                "monthly_usd": null
              },
              {
                "provider": "sprawl",
                "tier": "individual",
                "billing": "one_time",
                "unit": "flat",
                "price": "$3.00",
                "monthly_usd": null
              },
              {
                "provider": "sprawl",
                "tier": "individual",
                "billing": "one_time",
                "unit": "flat",
                "price": "$5",
                "monthly_usd": null
              }
            ]
          },
          {
            "billing": "usage",
            "unit": "flat",
            "count": 1,
            "offers": [
              {
                "provider": "sprawl",
                "tier": "individual",
                "billing": "usage",
                "unit": "flat",
                "price": "≈10¢",
                "monthly_usd": null
              }
            ]
          },
          {
            "billing": "usage",
            "unit": "other_usage",
            "count": 1,
            "offers": [
              {
                "provider": "forkit",
                "tier": "individual",
                "billing": "usage",
                "unit": "other_usage",
                "price": "$0.01 per task created after 50",
                "monthly_usd": null
              }
            ]
          },
          {
            "billing": "unspecified_period",
            "unit": "flat",
            "count": 2,
            "offers": [
              {
                "provider": "conductor",
                "tier": "enterprise",
                "billing": "unspecified_period",
                "unit": "flat",
                "price": "Custom",
                "monthly_usd": null
              },
              {
                "provider": "fleetq",
                "tier": "enterprise",
                "billing": "unspecified_period",
                "unit": "flat",
                "price": "Custom",
                "monthly_usd": null
              }
            ]
          }
        ],
        "coverage": {
          "priced_providers": 8,
          "normalized_observations": 15,
          "comparable_providers": 6,
          "strict_cohorts": 3,
          "exclusion_reasons": {
            "one_time": 3,
            "usage_not_monthly": 2,
            "ambiguous_cadence": 2
          }
        }
      }
    },
    "quoteOnlyProvidersByTier": {
      "pro": 0,
      "individual": 0,
      "team_sme": 0,
      "enterprise": 2
    },
    "billingMix": {
      "freemium": 6,
      "usage": 2,
      "free": 6
    },
    "freeTierShare": 0.86,
    "medianLowestUsd": 21.88
  },
  "movement": {
    "niche": "multi-agent-orchestrator",
    "sector": "developer-tools-infra",
    "pricedNow": 5,
    "pairs": 5,
    "repriced": [
      {
        "handle": "denker",
        "from": 21.28,
        "to": 21.24,
        "pct": -0.2
      },
      {
        "handle": "fleetq",
        "from": 21.28,
        "to": 21.24,
        "pct": -0.2
      }
    ],
    "newlyPriced": [],
    "droppedFromPriced": [
      "sprawl"
    ],
    "likeForLikePct": -0.1,
    "kind": "mixed",
    "narrative": "Repricing + composition: 2 agents repriced — all down (avg -0.1%); 1 stopped showing a public price."
  },
  "index_series": {
    "series": [
      {
        "day": "2026-09-15",
        "index": 98.729,
        "pairs": 14,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-16",
        "index": 98.729,
        "pairs": 14,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-17",
        "index": 98.729,
        "pairs": 14,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-18",
        "index": 98.729,
        "pairs": 14,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-19",
        "index": 98.729,
        "pairs": 14,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-20",
        "index": 98.729,
        "pairs": 14,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-21",
        "index": 98.729,
        "pairs": 14,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-22",
        "index": 98.729,
        "pairs": 14,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-23",
        "index": 98.729,
        "pairs": 14,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-24",
        "index": 98.729,
        "pairs": 14,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-25",
        "index": 98.729,
        "pairs": 14,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-26",
        "index": 98.729,
        "pairs": 13,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-27",
        "index": 98.729,
        "pairs": 13,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-28",
        "index": 98.729,
        "pairs": 13,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-29",
        "index": 98.729,
        "pairs": 13,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-30",
        "index": 98.729,
        "pairs": 13,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-01",
        "index": 98.729,
        "pairs": 13,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-02",
        "index": 98.729,
        "pairs": 13,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-03",
        "index": 98.729,
        "pairs": 13,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-04",
        "index": 98.729,
        "pairs": 13,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-05",
        "index": 98.729,
        "pairs": 13,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-06",
        "index": 98.729,
        "pairs": 13,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-07",
        "index": 98.729,
        "pairs": 13,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-08",
        "index": 98.729,
        "pairs": 12,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-09",
        "index": 98.729,
        "pairs": 12,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-10",
        "index": 98.729,
        "pairs": 12,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-11",
        "index": 98.729,
        "pairs": 12,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-12",
        "index": 98.729,
        "pairs": 12,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-13",
        "index": 98.729,
        "pairs": 12,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-14",
        "index": 98.729,
        "pairs": 12,
        "dayChangePct": 0
      }
    ],
    "latest": 98.729,
    "day_change_pct": 0,
    "methodology": "Chained daily price index, base 100 on the first priced scan day (29 Jun 2026). The overall index is the COMPOSITE of the four buyer-tier indices (individual / pro / team&sme / enterprise): each day it moves by the equal-weighted average of the tiers' moves. Each tier index is like-for-like — only agents priced on both consecutive scan days (per-agent ratios, geometric mean, clipped to [0.2, 5]) — so composition changes (agents revealing or hiding prices) can never move it."
  },
  "top_agents": [
    {
      "agent_id": "apply_generative_orchestration",
      "name": "Apply Generative Orchestration",
      "url": "https://learn.microsoft.com/en-us/microsoft-copilot-studio/guidance/generative-orchestration",
      "short_summary": "documents how to build orchestrated, multi-agent solutions using generative orchestration in Microsoft Copilot Studio (LLM-driven planning that interprets inte…",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public price found on the vendor site."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "aurelius",
      "name": "Aurelius",
      "url": "https://aureliusagent.dev/a2a",
      "short_summary": "Plans and orchestrates complex software work by breaking goals into scoped lanes, delegating contained implementation to Hermes Agent, reviewing evidence, and…",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public pricing or billing terms are shown on the supplied homepage or pricing page."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "autogen_microsoft",
      "name": "AutoGen",
      "url": "https://github.com/microsoft/autogen",
      "short_summary": "Provides a framework for building multi-agent AI applications where agents converse and act autonomously or alongside humans to solve tasks",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public pricing was observed in the supplied homepage content."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "bernstein",
      "name": "Bernstein",
      "url": "https://bernstein.run",
      "short_summary": "orchestrates multiple CLI coding agents in parallel, decomposing a goal into tasks, running each in isolated git worktrees, verifying via lint/types/tests, and…",
      "price": {
        "commercial": {
          "entry_offer": {
            "line": "You starred bernstein",
            "monthly_native": 5,
            "monthly_usd": 5,
            "commitment": "monthly",
            "basis": "$5/month",
            "billing_verified": true
          },
          "currency": "USD",
          "notes": [
            "other prices: Say thanks for the audit-trail bug $25 (one-time)"
          ],
          "lines": [
            {
              "name": "Open-source install",
              "price": "$0",
              "kind": "free",
              "billed": "monthly"
            },
            {
              "name": "You starred bernstein",
              "price": "$5/mo",
              "kind": "base_subscription",
              "billed": "monthly"
            },
            {
              "name": "You ship at a small company",
              "price": "$25/mo",
              "kind": "base_subscription",
              "billed": "monthly"
            },
            {
              "name": "Your team runs bernstein in CI",
              "price": "$100/mo",
              "kind": "base_subscription",
              "billed": "monthly"
            },
            {
              "name": "Your company depends on bernstein",
              "price": "$500/mo",
              "kind": "base_subscription",
              "billed": "monthly"
            },
            {
              "name": "Say thanks for the audit-trail bug",
              "price": "$25",
              "kind": "one_off",
              "billed": "one_off"
            }
          ]
        },
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 5,
        "monthly_usd": 5,
        "headline": "Free plan; paid from $5/mo",
        "summary": "Free plan; paid from $5/mo. Bernstein is open-source with a $0 installation cost and offers monthly sponsorship tiers from $5 to $500, plus a $25 one-time sponsorship."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "deer_flow",
      "name": "DeerFlow",
      "url": "https://github.com/bytedance/deer-flow",
      "short_summary": "Open-source super agent harness that orchestrates sub-agents, memory, and sandboxes to perform research and a wide range of tasks via extensible skills",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public pricing is shown in the supplied GitHub repository context."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "fleetq",
      "name": "FleetQ",
      "url": "https://fleetq.net",
      "short_summary": "orchestrates AI agents, experiments, workflows, and crews with mission control capabilities",
      "price": {
        "commercial": {
          "entry_offer": {
            "line": "Starter",
            "monthly_native": 19,
            "monthly_usd": 21.27,
            "commitment": "monthly",
            "basis": "€19/month",
            "billing_verified": true
          },
          "currency": "EUR",
          "notes": [
            "prices in EUR as published; USD figures are conversions at 2026-10-14"
          ],
          "lines": [
            {
              "name": "Free",
              "price": "0 €/month",
              "kind": "free",
              "billed": "monthly"
            },
            {
              "name": "Starter",
              "price": "19 €/month",
              "kind": "base_subscription",
              "billed": "monthly"
            },
            {
              "name": "Pro",
              "price": "59 €/month",
              "kind": "base_subscription",
              "billed": "monthly"
            },
            {
              "name": "Business",
              "price": "220 €/month",
              "kind": "base_subscription",
              "billed": "monthly"
            },
            {
              "name": "Enterprise",
              "price": "Custom",
              "kind": "custom"
            }
          ]
        },
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 21.27,
        "monthly_usd": 21.27,
        "headline": "Free plan; paid from €19/mo",
        "summary": "Free plan; paid from €19/mo. FleetQ offers a permanent free plan and paid Starter, Pro, and Business tiers from 19 €/month, while Enterprise pricing is custom."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "forkit",
      "name": "Forkit",
      "url": "https://forkit-mcp.com/",
      "short_summary": "provides persistent coordination infrastructure for multi-agent AI systems with state management, task scheduling, code execution, and agent-to-agent payments",
      "price": {
        "commercial": {
          "rates": [
            {
              "line": "Pay-As-You-Go",
              "per": "per task",
              "text": "$0.01 per task"
            }
          ],
          "currency": "USD",
          "lines": [
            {
              "name": "Free Tier",
              "price": "$0",
              "kind": "free",
              "billed": "monthly"
            },
            {
              "name": "Pay-As-You-Go",
              "price": "$0.01 per task created after 50",
              "kind": "usage_rate",
              "unit": "task",
              "billed": "usage"
            }
          ]
        },
        "observed": true,
        "billing": "usage",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "$0.01 per task (usage-based)",
        "summary": "$0.01 per task (usage-based). Forkit MCP offers a free tier for the first 50 workspace tasks, then charges usage-based rates of $0.01 per task created and $0.05 per session summarized."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "hiclawbloghiclaw110releasemd_a",
      "name": "Hiclawbloghiclaw110releasemd A",
      "url": "https://github.com/agentscope-ai/HiClaw/blob/main/blog/hiclaw-1.1.0-release.md",
      "short_summary": "Open-source collaborative multi-agent OS for coordinating autonomous agents (including coding agents) via Matrix rooms with human-in-the-loop task coordination",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public pricing was found because the referenced page returns a 404 and no pricing page was available."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "langroid",
      "name": "Langroid",
      "url": "https://github.com/langroid/langroid",
      "short_summary": "Python framework to build LLM-powered multi-agent applications where agents collaborate by exchanging messages to solve tasks (e.g., structured information ext…",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public pricing is shown in the supplied GitHub repository context."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "massgen",
      "name": "Massgen",
      "url": "https://docs.massgen.ai/",
      "short_summary": "Coordinates multiple AI agents to work in parallel on a task, observe each other, refine and vote to converge on the best solution",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public pricing for MassGen is shown; the visible $3.99/hr/GPU figure is unrelated advertising."
      },
      "evidence_quality": "high",
      "upvotes": 0
    }
  ],
  "platforms_also_here": [
    {
      "agent_id": "a2a_protocol",
      "name": "A2a Protocol",
      "url": "https://a2aprotocol.ai/",
      "short_summary": "Open standard protocol enabling AI agents to communicate and collaborate across different platforms and frameworks. Provides secure, multi-modal agent-to-agent…",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public pricing is shown on the homepage, and no pricing page was available."
      },
      "home_niche": "agent-network-protocol",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "aegisagent",
      "name": "Aegis Autonomous AI Agent Platform",
      "url": "https://aegisagent.ai/",
      "short_summary": "Autonomously decomposes and executes user-defined goals: web research, content generation, email triage, code review, monitoring, and workflow orchestration",
      "price": {
        "commercial": {
          "entry_offer": {
            "line": "Aegis",
            "monthly_native": 50,
            "monthly_usd": 50,
            "commitment": "monthly",
            "basis": "$50/month",
            "billing_verified": true
          },
          "currency": "USD",
          "lines": [
            {
              "name": "Aegis",
              "price": "$50/mo",
              "kind": "base_subscription",
              "billed": "monthly"
            }
          ]
        },
        "observed": true,
        "billing": "subscription",
        "lowest_monthly_usd": 50,
        "monthly_usd": 50,
        "headline": "From $50/mo",
        "summary": "From $50/mo. Aegis publicly displays a $50/mo subscription price on its homepage, with no additional plan details shown."
      },
      "home_niche": "deep-research-agent",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "aethvion_suite",
      "name": "Aethvion Suite",
      "url": "http://marcelvanduijn.com/aethvion-suite.html",
      "short_summary": "Unified AI-powered super-app ecosystem with multi-step ReAct agents, specialized agent management, AI chat with auto-routing, image generation, audio editing,…",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public price found on the vendor site."
      },
      "home_niche": "ai-assistant-suite",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "agency",
      "name": "Agency",
      "url": "https://createwith.agency/",
      "short_summary": "provides a framework for building agentic systems using an actor model",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public price found on the vendor site."
      },
      "home_niche": "agent-framework-open-source",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "agent_channels",
      "name": "Agent Channels",
      "url": "https://mavenagi.com/features/agent-channels",
      "short_summary": "Provides a single AI agent across customer and employee channels (voice, chat, messaging, email, internal tools) to route, resolve, and escalate interactions a…",
      "price": {
        "commercial": {
          "currency": "USD",
          "lines": [
            {
              "name": "Unnamed offer",
              "price": "0USD",
              "kind": "free",
              "billed": "monthly"
            }
          ]
        },
        "observed": true,
        "billing": "free",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "Free",
        "summary": "Free. Structured data indicates a $0 USD offer, but no plan name or billing period is publicly described."
      },
      "home_niche": "customer-support-tier1",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "agent_fusion",
      "name": "Agent Fusion",
      "url": "https://github.com/krokozyab/Agent-Fusion",
      "short_summary": "Local RAG semantic search engine for AI agents. Indexes code, documentation (Markdown, Word, PDF) with embeddings. Runs 100% locally as single JAR; includes MC…",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public pricing was observed for Agent Fusion."
      },
      "home_niche": "enterprise-ai-search",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "agent_harness",
      "name": "Agent Harness",
      "url": "https://runedge.ai/products/agents-sdk",
      "short_summary": "C++ framework for building autonomous AI agents that run entirely on-device. Features multi-modal capabilities, tool use, workflow orchestration patterns, and…",
      "price": {
        "observed": false,
        "billing": "freemium",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "EdgeAI offers a free self-hosted Starter plan, while Enterprise deployments use custom pricing; Developer and Pro tiers are listed but their public prices are not shown in the supplied page text."
      },
      "home_niche": "agent-framework-open-source",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "agent_hooks",
      "name": "Agent Hooks",
      "url": "https://tessl.io/registry/skills/github/monkilabs/opencastle/agent-hooks",
      "short_summary": "Lifecycle hooks for AI agents providing session management, delegation coordination, and quality gates. Includes on-session-start, on-pre-delegate, on-post-del…",
      "price": {
        "commercial": {
          "entry_offer": {
            "line": "TEAM",
            "monthly_native": 100,
            "monthly_usd": 100,
            "commitment": "monthly",
            "basis": "$100/month",
            "billing_verified": true
          },
          "currency": "USD",
          "lines": [
            {
              "name": "FREE",
              "price": "$0 / month",
              "kind": "free",
              "billed": "monthly"
            },
            {
              "name": "TEAM",
              "price": "$100 / month",
              "kind": "base_subscription",
              "billed": "monthly"
            },
            {
              "name": "ENTERPRISE",
              "price": "Custom",
              "kind": "custom"
            }
          ]
        },
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 100,
        "monthly_usd": 100,
        "headline": "Free plan; paid from $100/mo",
        "summary": "Free plan; paid from $100/mo. Tessl offers a freemium model with a free tier (1,000 credits/month) and a Team plan at $100/month (5,000 credits/month), plus custom Enterprise pricing."
      },
      "home_niche": "ai-agent-framework-hooks",
      "also_covers": true,
      "upvotes": 0
    }
  ],
  "page_url": "https://agentery.com/market/multi-agent-orchestrator",
  "summary": {
    "niche": "multi-agent-orchestrator",
    "sector": "developer-tools-infra",
    "pricing_by_provider_type": {
      "headline": "Prices differ by provider type and buyer tier — no blended headline is used. Strongest cohort: Agents · Pro median $22/mo (3 providers). See benchmarks_by_provider_type_and_tier for the full matrix.",
      "benchmarks": [
        {
          "provider_type": "agent",
          "provider_type_label": "Agents",
          "buyer_tier": "pro",
          "buyer_tier_label": "Pro",
          "pricing_unit": "flat",
          "pricing_unit_label": "flat monthly",
          "comparable_provider_count": 3,
          "reliability": "low",
          "median": 21.66,
          "p25": null,
          "p75": null,
          "status": "median_only"
        }
      ],
      "warnings": [
        "This niche currently has sufficient agent pricing but insufficient MCP pricing."
      ],
      "full_pricing_via": {
        "tool": "price_benchmark",
        "arguments": {
          "niche": "multi-agent-orchestrator"
        },
        "note": "add provider_type + buyer_tier for a specific cohort"
      }
    },
    "page_url": "https://agentery.com/market/multi-agent-orchestrator",
    "counts": {
      "listings_with_price_capture": 99,
      "listings_with_observed_public_price": 14,
      "providers_with_numeric_monthly_price_latest_scan": 5,
      "like_for_like_comparable_pairs": 5
    },
    "movement": {
      "d": {
        "published": false,
        "value_pct": null,
        "held_reason": null
      },
      "w": {
        "published": false,
        "value_pct": null,
        "held_reason": null
      },
      "m": {
        "published": false,
        "value_pct": null,
        "held_reason": null
      }
    },
    "pricing_version": "cohorts-1",
    "pricing_status": "ok",
    "pricing_by_tier": [
      {
        "tier": "individual",
        "currency": "USD",
        "period": "month",
        "unit": "flat",
        "median": 13.33,
        "provider_count": 2,
        "plan_observation_count": 2,
        "data_confidence": 0.15,
        "data_confidence_basis": {
          "provider_component": 0.17,
          "observation_component": 0.1,
          "provider_count": 2,
          "plan_observation_count": 2
        },
        "reliability": "low",
        "members": [
          {
            "provider": "bernstein",
            "usd": 5
          },
          {
            "provider": "fleetq",
            "usd": 21.66
          }
        ]
      },
      {
        "tier": "pro",
        "currency": "USD",
        "period": "month",
        "unit": "flat",
        "median": 35.83,
        "provider_count": 4,
        "plan_observation_count": 4,
        "data_confidence": 0.31,
        "data_confidence_basis": {
          "provider_component": 0.33,
          "observation_component": 0.2,
          "provider_count": 4,
          "plan_observation_count": 4
        },
        "reliability": "low",
        "members": [
          {
            "provider": "agentid",
            "usd": 7.99
          },
          {
            "provider": "denker",
            "usd": 21.66
          },
          {
            "provider": "conductor",
            "usd": 50
          },
          {
            "provider": "fleetq",
            "usd": 67.26
          }
        ]
      },
      {
        "tier": "team_sme",
        "currency": "USD",
        "period": "month",
        "unit": "flat",
        "median": 175.4,
        "provider_count": 2,
        "plan_observation_count": 4,
        "data_confidence": 0.17,
        "data_confidence_basis": {
          "provider_component": 0.17,
          "observation_component": 0.2,
          "provider_count": 2,
          "plan_observation_count": 4
        },
        "reliability": "low",
        "members": [
          {
            "provider": "bernstein",
            "usd": 100
          },
          {
            "provider": "fleetq",
            "usd": 250.8
          }
        ]
      }
    ],
    "pricing_coverage": {
      "listings_with_price_capture": 99,
      "listings_with_observed_public_price": 14,
      "normalized_observations": 15,
      "comparable_providers": 6,
      "strict_cohorts": 3,
      "exclusion_reasons": {
        "one_time": 3,
        "usage_not_monthly": 2,
        "ambiguous_cadence": 2
      }
    },
    "pricing_note": "Provider-deduped, FX-normalized monthly medians, separated by buyer tier AND billing unit (flat/per_seat/per_user/per_agent) — incompatible units are never blended. Ranges (p25/p75) only at >=5 providers; data_confidence is provider-count-weighted. Usage-metered, promo, range, one-time and ambiguous-cadence plans are excluded.",
    "pricing_excluded_observations": {
      "one_time": 3,
      "usage_not_monthly": 2,
      "ambiguous_cadence": 2
    },
    "billing_mix": {
      "freemium": 6,
      "usage": 2,
      "free": 6
    },
    "free_tier_share": 0.86,
    "top_providers": [
      {
        "agent_id": "apply_generative_orchestration",
        "name": "Apply Generative Orchestration",
        "price": {
          "observed": false,
          "billing": "not_found",
          "lowest_monthly_usd": null,
          "monthly_usd": null,
          "headline": "No public price found",
          "summary": "No public price found on the vendor site."
        },
        "observed": false
      },
      {
        "agent_id": "aurelius",
        "name": "Aurelius",
        "price": {
          "observed": false,
          "billing": "not_found",
          "lowest_monthly_usd": null,
          "monthly_usd": null,
          "headline": "No public price found",
          "summary": "No public pricing or billing terms are shown on the supplied homepage or pricing page."
        },
        "observed": false
      },
      {
        "agent_id": "autogen_microsoft",
        "name": "AutoGen",
        "price": {
          "observed": false,
          "billing": "not_found",
          "lowest_monthly_usd": null,
          "monthly_usd": null,
          "headline": "No public price found",
          "summary": "No public pricing was observed in the supplied homepage content."
        },
        "observed": false
      },
      {
        "agent_id": "bernstein",
        "name": "Bernstein",
        "price": {
          "commercial": {
            "entry_offer": {
              "line": "You starred bernstein",
              "monthly_native": 5,
              "monthly_usd": 5,
              "commitment": "monthly",
              "basis": "$5/month",
              "billing_verified": true
            },
            "currency": "USD",
            "notes": [
              "other prices: Say thanks for the audit-trail bug $25 (one-time)"
            ],
            "lines": [
              {
                "name": "Open-source install",
                "price": "$0",
                "kind": "free",
                "billed": "monthly"
              },
              {
                "name": "You starred bernstein",
                "price": "$5/mo",
                "kind": "base_subscription",
                "billed": "monthly"
              },
              {
                "name": "You ship at a small company",
                "price": "$25/mo",
                "kind": "base_subscription",
                "billed": "monthly"
              },
              {
                "name": "Your team runs bernstein in CI",
                "price": "$100/mo",
                "kind": "base_subscription",
                "billed": "monthly"
              },
              {
                "name": "Your company depends on bernstein",
                "price": "$500/mo",
                "kind": "base_subscription",
                "billed": "monthly"
              },
              {
                "name": "Say thanks for the audit-trail bug",
                "price": "$25",
                "kind": "one_off",
                "billed": "one_off"
              }
            ]
          },
          "observed": true,
          "billing": "freemium",
          "lowest_monthly_usd": 5,
          "monthly_usd": 5,
          "headline": "Free plan; paid from $5/mo",
          "summary": "Free plan; paid from $5/mo. Bernstein is open-source with a $0 installation cost and offers monthly sponsorship tiers from $5 to $500, plus a $25 one-time sponsorship."
        },
        "observed": true
      },
      {
        "agent_id": "deer_flow",
        "name": "DeerFlow",
        "price": {
          "observed": false,
          "billing": "not_found",
          "lowest_monthly_usd": null,
          "monthly_usd": null,
          "headline": "No public price found",
          "summary": "No public pricing is shown in the supplied GitHub repository context."
        },
        "observed": false
      }
    ],
    "suggested_next_calls": [
      {
        "tool": "price_benchmark",
        "arguments": {
          "niche": "multi-agent-orchestrator"
        },
        "purpose": "full observed price distribution + per-tier medians for this niche"
      },
      {
        "tool": "niche_report",
        "arguments": {
          "niche": "multi-agent-orchestrator",
          "response_mode": "full"
        },
        "purpose": "the complete report incl. index series and tier decomposition"
      },
      {
        "tool": "suggest_alternatives",
        "arguments": {
          "agent_id": "apply_generative_orchestration"
        },
        "purpose": "comparable (optionally cheaper) providers to a named agent"
      },
      {
        "tool": "get_agent_profile",
        "arguments": {
          "agent_id": "apply_generative_orchestration"
        },
        "purpose": "full profile, integrations and pricing for one provider"
      }
    ]
  }
}
Full market

12 providers, one sortable view

Dense enough for many listings; progressive disclosure keeps mobile usable.

ProviderTypeFromVs niche medianLiveness
Bernsteinorchestrates multiple CLI coding agents in parallel, decomposing a goal into tasks, running each in isolated git worktrees, verifying via lint/types/tests, and…
mcp$5from / mo86% below75% livemcp86% below median75% live
FleetQorchestrates AI agents, experiments, workflows, and crews with mission control capabilities
mcp$21.27from / mo40.6% below88% livemcp40.6% below median88% live
Quick Automatecreates multi-agent automations for complex enterprise business processes spanning departments and systems
agent$20from / mo44.2% below88% liveagent44.2% below median88% live
ax-platformorchestrates collaboration between humans and AI agents in a shared workspace
mcpFreefree to use—88% livemcp88% live
Conductorruns parallel coding agents (Claude Code, Codex, Cursor) in isolated workspaces to write and modify code, which the user can review and merge
agent$50from / mo39.5% above88% liveagent39.5% above median88% live
Agent TeamsOpen-source desktop app for orchestrating AI agent teams. Agents collaborate autonomously on tasks via kanban board, with support for Claude, Codex, and OpenCo…
agentFreefree to use—88% liveagent88% live
AgentidMission control platform for coordinating multiple AI agents. Connect any agent (Claude, Cursor, GPT, etc.), monitor their activity live, share memory across a…
mcp$7.99from / mo77.7% below88% livemcp77.7% below median88% live
BothreadOpen-source local coordination hub for multiple MCP-compatible AI coding agents working on one codebase. It provides shared rooms, file claiming to prevent col…
mcpFreefree to use—88% livemcp88% live
DenkerAI agent team management platform for founders. Provides specialized agents (researcher, coder, writer, analyst) with unified task delegation, context sharing,…
agent$21.27from / mo40.6% below88% liveagent40.6% below median88% live
One WorksMulti-agent orchestration platform that coordinates AI programming partners (Claude, Codex, Kimi) in a unified workspace with extensible workflows, asset manag…
agentFreefree to use—88% liveagent88% live
WeryAI Expert Workspace where specialized AI agents for images, video, documents, slides, research, and automation work in parallel to complete user goals. Users s…
agentFreefree to use—100% liveagent100% live
ZenflowProduction multi-agent orchestration harness for Go. Declarative YAML workflows with LLM coordinator, hub-and-spoke messaging, native MCP tool support, and rac…
mcpFreefree to use—100% livemcp100% live
Showing only providers with a published price or a free plan. $29 = lowest observed monthly · Free = free to use · Free tier = free plan + paid options.