Agentery pricing intelligence · Provider profile · Mem0
Provider profile · independently tracked by Agentery
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Mem0

↗ mem0.ai official website

provides persistent memory infrastructure for AI agents and apps, storing and retrieving cross-session memories

infrastructurePricing checked daily
Agentery value verdictPremium-pricedfrom $19/mo
Observed entry price$19/molowest observed monthly
Billing modelfreemium
Pricing observed6 Oct 2026latest priced read of the page
Website liveness6 Oct 2026alive · separate from pricing

What it does

The specific capability behind this listing, and where to get it.

Mem0

provides persistent memory infrastructure for AI agents and apps, storing and retrieving cross-session memories

chat messages, conversation history, and input data via SDK/API → retrieved memories, compressed/condensed context
Python SDKNode.js SDKAPIKubernetesBYOKMCPSDKAPIautonomy: infrastructure

Pricing & plans

Observed public pricing for Mem0, benchmarked against comparable providers. Plans, tiers, history and scenario below.

Pricing · observed daily
Starter · market position

$19 /mo

90% above the Individual flat median. Basis: Individual flat plans in Persistent Agent Memory, same buyer tier and billing unit, 11 providers, USD monthly, observed 2026-10-06. Separately, across all Individual-tier plans in the niche regardless of billing unit (17 providers): cheaper than 5 of them.
this agent · $19
$5.50median $10$19.49
pricing observed 2026-10-06 · page rechecked daily · source evidence retained
What should this agent charge?

This plan is priced above the comparable median.

pricing recommendation
$19
$5.50–$19.49
$10

$19 sits inside the observed Individual flat range ($5.50–$19.49) — around the 74th percentile of observed prices — squarely at market.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

90% above the Individual flat median.

get_provider_profile · plan history

Starter observed 2026-10-06.

pricing recommendation

~74th percentile of comparable Individual flat plans (approximate: interpolated between the cohort’s observed quartiles, 11 providers).

confidence

medium; source page rechecked daily.

Interactive provider scenario

Test a different price for this plan.

Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.

$19 / month
$5.50 lowestmedian $10$30 highest
Premium position. At $19/month, this plan is 90% above the Individual flat median (11 providers).
74th
+90%
$5.50–$19.49

Is Mem0 good value?

How its price compares with genuinely comparable providers.

Premium-priced

Premium-priced for its buyer tier.

Basis: Individual flat plans at the same billing unit (11 providers), USD monthly, pricing observed 2026-10-06. The Starter plan ($19/mo) sits 90% above that median of $10. Other cohorts on this page (niche-wide tier peers, nearest products by capability) are labelled where they appear.

Observed commercial price$19/mo
Position among agent-economy servicesMid-priced among Agent-economy services · 7 priced · moderate
NichePersistent Agent Memory
Price benchmarkapplicable
How it compares

Compared with Persistent Agent Memory

Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit (the basis is stated with each verdict above). See the plans above for the percentile and its cohort size, and the full niche market for peers.

View the full niche →

Mem0's local market

Nearest products by what they do — a different cohort from the buyer-tier benchmark above. Local median $20/mo (entry prices of 18 priced of 50 nearest products, any tier or billing unit) — Mem0 is 5% below it.

See the full market →
See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
  "agent_id": "mem0",
  "name": "Mem0",
  "url": "https://mem0.ai",
  "logo": "https://agentery.com/logos/CP-MKGJ3E.svg",
  "niche": "persistent-agent-memory",
  "category": "developer-tools-infra",
  "short_summary": "provides persistent memory infrastructure for AI agents and apps, storing and retrieving cross-session memories",
  "task_performed": "provides persistent memory infrastructure for AI agents and apps, storing and retrieving cross-session memories",
  "inputs_accepted": [
    "chat messages",
    "conversation history",
    "and input data via SDK/API"
  ],
  "outputs_produced": [
    "retrieved memories",
    "compressed/condensed context"
  ],
  "integrations_available": [
    "Python SDK",
    "Node.js SDK",
    "API",
    "Kubernetes",
    "BYOK"
  ],
  "protocols_or_interfaces": [
    "MCP",
    "SDK",
    "API"
  ],
  "industry_fit": [
    "developer tools (with use cases in healthcare",
    "education",
    "e-commerce",
    "customer support",
    "sales/CRM)"
  ],
  "autonomy_level": "infrastructure",
  "human_approval_needed": "unclear",
  "pricing_model": "freemium",
  "price": {
    "observed": true,
    "billing": "freemium",
    "source_kind": "vendor",
    "currency": "USD",
    "lowest_monthly_usd": 19,
    "monthly_usd": 19,
    "headline": "Free plan; paid from $19/mo",
    "commercial": {
      "entry_offer": {
        "line": "Starter",
        "monthly_native": 19,
        "monthly_usd": 19,
        "commitment": "monthly",
        "basis": "$19/month"
      },
      "currency": "USD",
      "lines": [
        {
          "name": "Hobby",
          "price": "Free",
          "kind": "free",
          "billed": "monthly"
        },
        {
          "name": "Starter",
          "price": "$19/month",
          "kind": "base_subscription",
          "billed": "monthly"
        },
        {
          "name": "Pro",
          "price": "$249/month",
          "kind": "base_subscription",
          "billed": "monthly"
        },
        {
          "name": "Enterprise",
          "price": "Custom",
          "kind": "custom"
        }
      ]
    },
    "summary": "Free plan; paid from $19/mo. Mem0 offers a free Hobby tier, $19/month Starter, $249/month Pro, and custom-priced Enterprise plans, with additional usage-based pricing available for some teams.",
    "confidence": "high",
    "source_url": "https://mem0.ai/pricing",
    "checked_at": "2026-10-06T03:24:31.200Z",
    "amount": 19,
    "display": "From $19/mo",
    "plans": [
      {
        "name": "Hobby",
        "price": "Free",
        "period": null,
        "persona": "individual",
        "highlights": [
          "Unlimited end users",
          "10,000 add requests/month",
          "1,000 retrieval requests/month",
          "1 project",
          "Community support"
        ],
        "price_annual": null
      },
      {
        "name": "Starter",
        "price": "$19/month",
        "period": "month",
        "persona": "individual",
        "highlights": [
          "Unlimited end users",
          "50,000 add requests/month",
          "5,000 retrieval requests/month",
          "1 project",
          "Community support"
        ],
        "price_annual": null
      },
      {
        "name": "Pro",
        "price": "$249/month",
        "period": "month",
        "persona": "pro",
        "highlights": [
          "Unlimited end users",
          "500,000 add requests/month",
          "50,000 retrieval requests/month",
          "Unlimited projects",
          "Private Slack support",
          "Advanced analytics",
          "Graph memory"
        ],
        "price_annual": null
      },
      {
        "name": "Enterprise",
        "price": "Custom",
        "period": null,
        "persona": "enterprise",
        "highlights": [
          "Unlimited end users",
          "Unlimited add and retrieval requests",
          "Unlimited projects",
          "SLA support",
          "On-prem deployment",
          "Audit logs",
          "Custom integrations and SSO"
        ],
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "SOC 2 (Type 1) compliant",
    "HIPAA compliant",
    "Backed by Y Combinator",
    "90,000+ developers",
    "benchmarked across LoCoMo, LongMemEval, BEAM",
    "Trust Center"
  ],
  "evidence_quality": "high",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "possibly suitable (HIPAA stated, SOC2 stated)",
  "evidence_urls": [
    "https://mem0.ai",
    "https://github.com/mem0ai/mem0"
  ],
  "last_checked": "2026-06-16",
  "how_to_connect": {
    "website": "https://mem0.ai",
    "docs": "https://github.com/documentation",
    "mcp": null,
    "a2a": null,
    "api": {
      "docs_url": "https://github.com/developer",
      "endpoint": null
    },
    "protocols": [
      "MCP"
    ],
    "install": null,
    "repository": null,
    "note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
  },
  "deployment": {
    "model": "unknown",
    "both_offered": false,
    "hosted_endpoint": null,
    "install": null,
    "note": "No deployment evidence held — Agentery has no endpoint, install instruction or directory attribute for this listing.",
    "evidence": null
  },
  "licence": {
    "name": null,
    "note": "No named licence found in the retained page text or source attributes. A public repository alone does not establish an open-source licence.",
    "evidence": null
  },
  "evidence_checks": {
    "price": {
      "status": "unknown",
      "note": "no observed price page text held for this listing"
    },
    "agent_card": {
      "status": "unknown",
      "note": "no Agent Card URL recorded for this listing"
    },
    "endpoint": {
      "status": "unknown",
      "note": "endpoint not yet checked"
    }
  },
  "price_history_available": "Pass price_history:true for this provider's dated plan prices (observation dates, original currency).",
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 508,
    "uptime_7d": 1,
    "checked_at": "2026-10-06T02:39:31.747Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}