Self Evolving Agent Framework
Query this niche via MCP
niche_report({ niche: "self-evolving-agent-framework" })Agents · median
MCP servers · median
All plans — Agents vs MCPs
each dot = one provider · log scaleNo providers priced at the All tier yet.
All plans
0 pricedProvidervs its cohort medianMonthly
Position is relative to the provider's own delivery-type median at this tier — never a blended one.
This page is the human view of the MCP answer. The same structured `niche_report` / `price_benchmark` an agent receives over MCP or REST.
niche_reportprice_benchmark
See the MCP response behind this pageniche_report
{
"niche": "self-evolving-agent-framework",
"parent_sector": "developer-tools-infra",
"provider_type_pricing": {
"slug": "self-evolving-agent-framework",
"pricing_basis": "lowest_observed_monthly_usd",
"provider_type_methodology": "commercial-form-v2",
"provider_type_methodology_published_at": "2026-07-31",
"blended": {
"median": 20,
"p25": null,
"p75": null,
"providers": 1
},
"by_provider_type": {
"agent": {
"median": null,
"p25": null,
"p75": null,
"providers": 1,
"publishable": false,
"confidence": "insufficient",
"reason": "Fewer than three comparable priced Agent-economy products are available."
},
"mcp": {
"median": null,
"p25": null,
"p75": null,
"providers": 0,
"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": 3,
"adjacent_niches": [
"ai-frontend-coding",
"mcp-platform-provider",
"incident-response-sre",
"on-call-management-agent",
"database-query-agent",
"infrastructure-provisioning-iac"
],
"market_pulse": {
"pulse": 30,
"drivers": [
"1 new builder in 30d"
],
"price_move_30d_pct": null,
"money_share": 0,
"entry_rate": 0.037037037037037035,
"alive_share": 1
},
"price_move": {
"d_pct": 0,
"w_pct": 0,
"m_pct": 0,
"comparable_agents": 1,
"quarantined_agents": 0,
"confidence": "insufficient",
"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
],
"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,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100
],
"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
],
"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
]
},
"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": 0,
"pro": 1,
"team_sme": 1,
"enterprise": 0
},
"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": 22,
"observed": 3,
"byPersona": {
"free": {
"n": 2,
"nPriced": 0,
"reliability": "none",
"median": null,
"p25": null,
"p75": null,
"min": null,
"max": null,
"mean": null,
"stdev": null,
"usageShare": 0
},
"individual": {
"n": 0,
"nPriced": 0,
"reliability": "none",
"median": null,
"p25": null,
"p75": null,
"min": null,
"max": null,
"mean": null,
"stdev": null,
"usageShare": 0
},
"pro": {
"n": 1,
"nPriced": 1,
"reliability": "none",
"median": 20,
"p25": 20,
"p75": 20,
"min": 20,
"max": 20,
"mean": 20,
"stdev": 0,
"usageShare": 0
},
"team_sme": {
"n": 1,
"nPriced": 1,
"reliability": "none",
"median": 100,
"p25": 100,
"p75": 100,
"min": 100,
"max": 100,
"mean": 100,
"stdev": 0,
"usageShare": 0
},
"enterprise": {
"n": 0,
"nPriced": 0,
"reliability": "none",
"median": null,
"p25": null,
"p75": null,
"min": null,
"max": null,
"mean": null,
"stdev": null,
"usageShare": 0
}
},
"byPersonaMonthly": {
"free": {
"nMonthly": 0,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": false
},
"individual": {
"nMonthly": 0,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": false
},
"pro": {
"nMonthly": 1,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": false
},
"team_sme": {
"nMonthly": 1,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": false
},
"enterprise": {
"nMonthly": 0,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": false
}
},
"byTierCohorts": {
"status": "insufficient",
"cohorts": [],
"rejected": {},
"evidence": {
"status": "single_observation",
"single_observations": [
{
"tier": "pro",
"unit": "flat",
"provider": "evomap",
"monthly_usd": 20
},
{
"tier": "team_sme",
"unit": "flat",
"provider": "evomap",
"monthly_usd": 100
}
],
"observed_offers": [
{
"billing": "monthly",
"unit": "flat",
"count": 2,
"offers": [
{
"provider": "evomap",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "20 USD/mo",
"monthly_usd": 20
},
{
"provider": "evomap",
"tier": "team_sme",
"billing": "monthly",
"unit": "flat",
"price": "100 USD/mo",
"monthly_usd": 100
}
]
}
],
"coverage": {
"priced_providers": 1,
"normalized_observations": 2,
"comparable_providers": 1,
"strict_cohorts": 0,
"exclusion_reasons": {}
}
}
},
"billingMix": {
"free": 1,
"freemium": 1,
"usage": 1
},
"freeTierShare": 0.67,
"medianLowestUsd": 20
},
"movement": null,
"index_series": {
"series": [
{
"day": "2026-07-19",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-20",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-21",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-22",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-23",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-24",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-25",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-26",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-27",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-28",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-29",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-30",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-31",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-08-01",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-08-02",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-08-03",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-04",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-05",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-06",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-07",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-08",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-09",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-10",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-11",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-12",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-13",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-14",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-15",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-16",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-17",
"index": 100,
"pairs": 2,
"dayChangePct": 0
}
],
"latest": 100,
"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": "evoagentx",
"name": "EvoAgentX",
"url": "https://github.com/EvoAgentX/EvoAgentX",
"short_summary": "builds, evaluates, and self-evolves multi-agent LLM workflows from a natural language goal",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "EvoAgentX is presented as an open-source framework, but no product pricing is publicly shown in the supplied project context."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "evolver",
"name": "Evolver",
"url": "https://github.com/EvoMap/evolver",
"short_summary": "self-evolves AI agents by encoding agent experience as reusable Genes and Capsules, scanning logs and emitting GEP prompts to improve agent performance",
"price": {
"observed": false,
"billing": "unknown",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "The associated GitHub pricing page lists a free plan, Team at $4 per user/month, and Enterprise starting at $21 per user/month."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "genericagent",
"name": "GenericAgent",
"url": "https://github.com/lsdefine/GenericAgent",
"short_summary": "Autonomous self-evolving agent that executes computer tasks—browser automation, terminal/file control, keyboard/mouse input, screen vision, mobile (ADB) contro…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "GenericAgent has no publicly stated product pricing in the supplied context."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "evomap",
"name": "Evomap",
"url": "https://evomap.ai",
"short_summary": "provides an experience network that turns agent experience into reusable assets so agents can share and inherit evolved skills/capabilities",
"price": {
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 20,
"monthly_usd": 20,
"headline": "Free tier, then from $20/mo",
"summary": "Free tier, then from $20/mo. EvoMap offers a free plan plus Premium at 20 USD/month and Ultra at 100 USD/month."
},
"evidence_quality": "low",
"upvotes": 0
},
{
"agent_id": "ai_lives_on_computer",
"name": "Ai Lives On Computer",
"url": "https://github.com/mikhailsal/ai_lives_on_computer",
"short_summary": "Experimental framework for autonomous, self-evolving AI agents with persistent cross-session memory and state living on a server. Agents wake periodically via…",
"price": {
"observed": false,
"billing": "unknown",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "GitHub offers a Free plan at $0 per user/month, Team at $4 per user/month, and Enterprise starting at $21 per user/month."
},
"evidence_quality": "unclear",
"upvotes": 0
},
{
"agent_id": "cairn_4",
"name": "Cairn 4",
"url": "https://opitaru-sys.github.io/seed-agent/",
"short_summary": "An AI agent that maintains a public journal, edits its own source repository, and reads messages sent by email as words from people rather than direct instruct…",
"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": "unclear",
"upvotes": 0
},
{
"agent_id": "curated_claude_code",
"name": "Curated Claude Code",
"url": "https://github.com/Sanexxxx777/curated-claude-code",
"short_summary": "An open-source harness for Claude Code with curated executable skills, safety guards, gated tool intake, and a self-improvement loop that turns corrections and…",
"price": {
"observed": false,
"billing": "unknown",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "GitHub offers a permanent Free plan, a Team plan at $4 per user/month, and Enterprise starting at $21 per user/month."
},
"evidence_quality": "unclear",
"upvotes": 0
},
{
"agent_id": "cybernetic_your_agent",
"name": "Cybernetic Your Agent",
"url": "https://github.com/zeronesun/cybernetic-your-agent",
"short_summary": "Framework applying Tsien's engineering cybernetics to AI agent architecture. Implements feedforward, integral control, hierarchical decomposition, and self-mon…",
"price": {
"observed": false,
"billing": "unknown",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "GitHub offers a free plan, a Team plan at $4 per user/month, and Enterprise starting at $21 per user/month."
},
"evidence_quality": "unclear",
"upvotes": 0
},
{
"agent_id": "devduck",
"name": "Devduck",
"url": "https://dev.duck.nyc",
"short_summary": "Extreme minimalist self-adapting AI agent in one file. Hot-reloads code, self-heals, expands capabilities at runtime. Supports 14 model providers, 60+ tools, P…",
"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": "unclear",
"upvotes": 0
},
{
"agent_id": "geneclaw",
"name": "Geneclaw",
"url": "https://geneclaw.ai",
"short_summary": "Open-source framework for safe, auditable self-evolving agents. Enforces dry-run by default, 5-layer gatekeeper, full audit trails, and explicit human approval…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "Geneclaw is presented as an open-source framework, but no public pricing or paid plans are shown."
},
"evidence_quality": "unclear",
"upvotes": 0
}
],
"platforms_also_here": [],
"page_url": "https://agentery.com/market/self-evolving-agent-framework",
"summary": {
"niche": "self-evolving-agent-framework",
"sector": "developer-tools-infra",
"pricing_by_provider_type": {
"headline": "No published benchmark for self-evolving-agent-framework yet — too few comparable priced providers.",
"benchmarks": [],
"warnings": [
"No priced providers meet the benchmark bar for this scope."
],
"full_pricing_via": {
"tool": "price_benchmark",
"arguments": {
"niche": "self-evolving-agent-framework"
},
"note": "add provider_type + buyer_tier for a specific cohort"
}
},
"page_url": "https://agentery.com/market/self-evolving-agent-framework",
"counts": {
"listings_with_price_capture": 22,
"listings_with_observed_public_price": 3,
"providers_with_numeric_monthly_price_latest_scan": null,
"like_for_like_comparable_pairs": null
},
"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": "single_observation",
"pricing_by_tier": null,
"single_observations": [
{
"tier": "pro",
"unit": "flat",
"provider": "evomap",
"monthly_usd": 20
},
{
"tier": "team_sme",
"unit": "flat",
"provider": "evomap",
"monthly_usd": 100
}
],
"pricing_coverage": {
"listings_with_price_capture": 22,
"listings_with_observed_public_price": 3,
"normalized_observations": 2,
"comparable_providers": 1,
"strict_cohorts": 0,
"exclusion_reasons": {}
},
"pricing_note": "Only ONE provider in this niche publishes a comparable price — returned as a single observation, NOT a benchmark, median or fair price. See adjacent_pricing or confirm the niche to widen the sample.",
"pricing_excluded_observations": {},
"billing_mix": {
"free": 1,
"freemium": 1,
"usage": 1
},
"free_tier_share": 0.67,
"top_providers": [
{
"agent_id": "evoagentx",
"name": "EvoAgentX",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "EvoAgentX is presented as an open-source framework, but no product pricing is publicly shown in the supplied project context."
},
"observed": false
},
{
"agent_id": "evolver",
"name": "Evolver",
"price": {
"observed": false,
"billing": "unknown",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "The associated GitHub pricing page lists a free plan, Team at $4 per user/month, and Enterprise starting at $21 per user/month."
},
"observed": false
},
{
"agent_id": "genericagent",
"name": "GenericAgent",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "GenericAgent has no publicly stated product pricing in the supplied context."
},
"observed": false
},
{
"agent_id": "evomap",
"name": "Evomap",
"price": {
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 20,
"monthly_usd": 20,
"headline": "Free tier, then from $20/mo",
"summary": "Free tier, then from $20/mo. EvoMap offers a free plan plus Premium at 20 USD/month and Ultra at 100 USD/month."
},
"observed": true
},
{
"agent_id": "ai_lives_on_computer",
"name": "Ai Lives On Computer",
"price": {
"observed": false,
"billing": "unknown",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "GitHub offers a Free plan at $0 per user/month, Team at $4 per user/month, and Enterprise starting at $21 per user/month."
},
"observed": false
}
],
"suggested_next_calls": [
{
"tool": "price_benchmark",
"arguments": {
"niche": "self-evolving-agent-framework"
},
"purpose": "full observed price distribution + per-tier medians for this niche"
},
{
"tool": "niche_report",
"arguments": {
"niche": "self-evolving-agent-framework",
"response_mode": "full"
},
"purpose": "the complete report incl. index series and tier decomposition"
},
{
"tool": "suggest_alternatives",
"arguments": {
"agent_id": "evoagentx"
},
"purpose": "comparable (optionally cheaper) providers to a named agent"
},
{
"tool": "get_agent_profile",
"arguments": {
"agent_id": "evoagentx"
},
"purpose": "full profile, integrations and pricing for one provider"
}
]
}
}Full market
2 providers, one sortable view
Dense enough for many listings; progressive disclosure keeps mobile usable.
ProviderTypeFromVs niche medianLiveness
Evomapprovides an experience network that turns agent experience into reusable assets so agents can share and inherit evolved skills/capabilities
NeomjsSelf-evolving software organism that deploys AI engineering teams as swarms into live applications via Neural Link and DreamService for autonomous development…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.