EvoAgentX
builds, evaluates, and self-evolves multi-agent LLM workflows from a natural language goal
What it does
The specific capability behind this listing, and where to get it.
EvoAgentX
builds, evaluates, and self-evolves multi-agent LLM workflows from a natural language goal
Official EvoAgentX links
Source repository available · no commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is EvoAgentX good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
Source repository available · no commercial pricing observed.
A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.
Check capability before deciding
Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
View the full niche →Comparable Self Evolving Agent Framework
Alternatives in the same niche, with observed price and liveness where available.
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "evoagentx",
"name": "EvoAgentX",
"url": "https://github.com/EvoAgentX/EvoAgentX",
"logo": null,
"niche": "self-evolving-agent-framework",
"category": "developer-tools-infra",
"short_summary": "builds, evaluates, and self-evolves multi-agent LLM workflows from a natural language goal",
"task_performed": "builds, evaluates, and self-evolves multi-agent LLM workflows from a natural language goal",
"inputs_accepted": [
"natural language goal/prompt",
"datasets",
"LLM API keys"
],
"outputs_produced": [
"structured multi-agent workflows",
"executed task outputs (e.g. code)",
"evaluation scores",
"optimized workflows"
],
"integrations_available": [
"OpenAI",
"Claude",
"Deepseek",
"Kimi",
"qwen",
"LiteLLM",
"siliconflow",
"openrouter",
"Exa AI",
"MCP"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"developer tools"
],
"autonomy_level": "agentic",
"human_approval_needed": "sometimes required",
"pricing_model": "free",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": null,
"summary": null,
"confidence": "medium",
"source_url": "https://github.com/pricing",
"checked_at": "2026-07-26T04:56:16.385Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"3.1k GitHub stars",
"272 forks",
"arXiv framework paper",
"arXiv survey paper"
],
"evidence_quality": "high",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/EvoAgentX/EvoAgentX",
"https://evoagentx.org"
],
"last_checked": "2026-06-16",
"how_to_connect": {
"website": "https://github.com/EvoAgentX/EvoAgentX",
"docs": "https://github.com/documentation",
"mcp": null,
"a2a": null,
"api": {
"docs_url": "https://github.com/developer",
"endpoint": null
},
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 892,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:33:27.817Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}
