Agentery pricing intelligence · Provider profile · EvoAgentX
Provider profile · independently tracked by Agentery
E
EvoAgentX
builds, evaluates, and self-evolves multi-agent LLM workflows from a natural language goal
Agentery price verdictNo pricing observedsource repository
SourcePublic repositorylicence not verified
Billing model—
Last checked1 Sept 2026pricing & liveness
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
natural language goal/prompt, datasets, LLM API keys → structured multi-agent workflows, executed task outputs (e.g. code), evaluation scores, optimized workflows
OpenAIClaudeDeepseekKimiqwenLiteLLMsiliconflowopenrouterMCPautonomy: agentic
Official EvoAgentX links
Price status · observed daily
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
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.
Observed commercial pricenone
NicheSelf Evolving Agent Framework
Price benchmarknot applicable
What to compare instead
Check capability before deciding
Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
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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": [
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"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": "2026-08-30T05:06:23.323Z",
"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": 902,
"uptime_7d": 1,
"checked_at": "2026-09-01T02:34:11.699Z",
"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."
}