MetaGPT
Multi-agent framework that takes a one-line requirement and produces software development artifacts (user stories, competitive analysis, requirements, data str…
What it does
The specific capability behind this listing, and where to get it.
Multi-agent framework that takes a one-line requirement and produces software development artifacts (user stories, competitive analysis, requirements, data structures, APIs, documents, code) by assigning roles like product managers, architects, project managers, and engineers to LLMs
Source repository available · no commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is MetaGPT 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 Multi Agent Orchestrator
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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": "metagpt",
"name": "MetaGPT",
"url": "https://github.com/FoundationAgents/MetaGPT",
"logo": "https://agentery.com/logos/CP-YSFGWY.svg",
"niche": "multi-agent-orchestrator",
"category": "developer-tools-infra",
"short_summary": "Multi-agent framework that takes a one-line requirement and produces software development artifacts (user stories, competitive analysis, requirements, data str…",
"task_performed": "Multi-agent framework that takes a one-line requirement and produces software development artifacts (user stories, competitive analysis, requirements, data structures, APIs, documents, code) by assigning roles like product managers, architects, project managers, and engineers to LLMs",
"inputs_accepted": [
"natural language requirements/prompts (e.g. one-line requirement)",
"via CLI or as a Python library",
"also data analysis tasks via Data Interpreter"
],
"outputs_produced": [
"user stories",
"competitive analysis",
"requirements",
"data structures",
"APIs",
"documents",
"generated code repositories",
"data analysis with plots"
],
"integrations_available": [
"OpenAI",
"Azure",
"Ollama",
"Groq",
"Hugging Face",
"Discord",
"Docker"
],
"protocols_or_interfaces": [],
"industry_fit": [
"developer tools / software development"
],
"autonomy_level": "agentic",
"human_approval_needed": "unclear",
"pricing_model": "free",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": null,
"summary": null,
"confidence": "high",
"source_url": "https://github.com/pricing",
"checked_at": "2026-07-26T04:43:00.794Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"68.8k GitHub stars",
"8.8k forks",
"112 contributors",
"ICLR 2024/2025 published papers",
"ProductHunt #1 Product of the Week/Day for mgx.dev"
],
"evidence_quality": "high",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/FoundationAgents/MetaGPT",
"https://mgx.dev"
],
"last_checked": "2026-06-17",
"how_to_connect": {
"website": "https://github.com/FoundationAgents/MetaGPT",
"docs": "https://github.com/documentation",
"mcp": {
"endpoint": "https://github.com/mcp.json",
"transport": "http",
"config_snippet": "{\n \"mcpServers\": {\n \"metagpt\": {\n \"url\": \"https://github.com/mcp.json\"\n }\n }\n}"
},
"a2a": null,
"api": {
"docs_url": "https://github.com/developer",
"endpoint": null
},
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 701,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:35:54.699Z",
"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."
}