Agentery pricing intelligence · Provider profile · Langroid
Provider profile · independently tracked by Agentery
L
Langroid
Python framework to build LLM-powered multi-agent applications where agents collaborate by exchanging messages to solve tasks (e.g., structured information ext…
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.
Python framework to build LLM-powered multi-agent applications where agents collaborate by exchanging messages to solve tasks (e.g., structured information extraction, RAG, SQL chat)
prompts/messages, documents (RAG via DocChatAgent), SQL databases (SQLChatAgent), MCP server tools → LLM responses, structured information extraction, agent task results, tool/function calls
MCPOpenAI APIOpenAI Assistants APIOllamaQdrantLanceDBVertex AI/GeminiChainlitMCPAPIautonomy: infrastructure
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 Langroid 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
NicheMulti Agent Orchestrator
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": "langroid",
"name": "Langroid",
"url": "https://github.com/langroid/langroid",
"logo": null,
"niche": "multi-agent-orchestrator",
"category": "developer-tools-infra",
"short_summary": "Python framework to build LLM-powered multi-agent applications where agents collaborate by exchanging messages to solve tasks (e.g., structured information ext…",
"task_performed": "Python framework to build LLM-powered multi-agent applications where agents collaborate by exchanging messages to solve tasks (e.g., structured information extraction, RAG, SQL chat)",
"inputs_accepted": [
"prompts/messages",
"documents (RAG via DocChatAgent)",
"SQL databases (SQLChatAgent)",
"MCP server tools"
],
"outputs_produced": [
"LLM responses",
"structured information extraction",
"agent task results",
"tool/function calls"
],
"integrations_available": [
"MCP",
"OpenAI API",
"OpenAI Assistants API",
"Ollama",
"Qdrant",
"LanceDB",
"Vertex AI/Gemini",
"Chainlit",
"Claude Code plugin",
"DuckDuckGo search"
],
"protocols_or_interfaces": [
"MCP",
"API"
],
"industry_fit": [
"developer tools"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "free",
"price": {
"observed": false,
"billing": "unknown",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": null,
"summary": null,
"confidence": "high",
"source_url": "https://github.com/pricing",
"checked_at": "2026-08-30T05:39:37.413Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"4k GitHub stars",
"376 forks",
"production use quote from Nullify (Head of AI)",
"ML for Healthcare 2024 publication",
"MIT license",
"SECURITY.md / CVE mitigation"
],
"evidence_quality": "high",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/langroid/langroid",
"https://langroid.github.io/langroid"
],
"last_checked": "2026-06-16",
"how_to_connect": {
"website": "https://github.com/langroid/langroid",
"docs": "https://github.com/documentation",
"mcp": {
"endpoint": "https://github.com/mcp.json",
"transport": "http",
"config_snippet": "{\n \"mcpServers\": {\n \"langroid\": {\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": 80,
"uptime_7d": 1,
"checked_at": "2026-09-01T02:36:24.457Z",
"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."
}