Suggestions appear as you type. Use the up and down arrows to choose one and Enter to open it.

This page's audience real numbers from our own analytics — open to see them
–Visitors
–Page views
–Clicks to vendors
–Time on page
–Reading now
Clicks to vendors, by tool
  • –
Top countries
  • –
Devices
  • –

– · counted by iTechGuides's own first-party analytics, bots removed, every figure rounded down · how we count

Langroid

Free#26 of 49 in LLM Application Development Frameworks

Langroid: A Python framework for agent orchestration, RAG, and document, SQL, or data chat. Ranked #26 of 49 in LLM Application Development Frameworks by our editors (6.8/10); pricing: Free plan; best for python agents for document, SQL, and data chat.

6.8/10Editor score
Visit Langroid
Langroid6.8 Visit Langroid

At a glance

  • Editor score
    6.8 / 10
  • Pricing
    Free plan
  • Best for
    Python agents for document, SQL, and data chat
  • Free plan
    Yes
  • Paid from
    None
  • RAG support
    Yes
  • Facts checked
    28 Sep 2026

  • Where it wins

    • Coordinates agents through task-based delegation and message passing
    • Supports RAG with DocChatAgent and multiple vector stores
    • Works with hosted, local, and non-OpenAI language models

  • Where it doesn't

    • Deployment is self-hosted, so teams manage their own runtime
    • Integrations focus on listed model, vector-store, and MCP options
    • Documentation and community are the listed support channels

Our verdict on Langroid

Langroid is an open-source Python framework for developers building LLM applications around agents. Agents encapsulate conversation state, vector stores, and tools; tasks coordinate message passing, delegation, and collaboration. Its documented use cases include document chat, SQL chat, and tabular data chat, making it a fit for Python teams that want to compose specialized agents rather than adopt a vendor-hosted application. The MIT license and free plan support use without a paid plan, while deployment is self-hosted.

Its main strength is combining agent orchestration with retrieval and tool use. DocChatAgent and supported vector stores provide retrieval-augmented generation, while OpenAI function calling and native Pydantic-based tools let agents invoke functions. The framework supports hosted, local, and non-OpenAI models, with integrations including OpenAI, Azure OpenAI, Qdrant, Chroma, LanceDB, Milvus, Redis, and MCP. Message logging, provenance, and lineage can help developers follow interactions across multi-agent work. This breadth is relevant to teams building document or data workflows that need more than a single model call.

The trade-off is operational ownership: Langroid is self-hosted, and its listed support channels are documentation and community. It does not present a vendor-hosted paid tier to compare, so teams should assess the effort of operating their own deployment and supporting their application. Choose it when Python, agent delegation, RAG, and control over model and vector-store choices matter. A team seeking a hosted service, a broader listed integration ecosystem, or vendor support channels beyond docs and community should consider another framework or platform.

Langroid pricing

Plans Free planFree Free to use — no paid tier required for the core job.
See plans on langroid.github.io

Langroid fact sheet

Free planYes
Paid fromNone
Primary languagePython
RAG supportYes
Agent and tool useYes
Workflow graphsYes
Prompt optimizationNot verified
Open-source licenseMit
JavaScript/TypeScript SDKNot verified
DeploymentSelf-hosted
PlatformsWindows, macOS, Linux
SupportDocs, Community
Built forSolo, Small business, Mid-market, Enterprise (editorial estimate)
Integrations8 integrations: OpenAI, Azure OpenAI, Qdrant, Chroma, LanceDB, Milvus …
PricingFree plan
Websitelangroid.github.io
Facts checked28 Sep 2026

Langroid integrations

Langroid lists 8 integrations on its own site.

  • OpenAI
  • Azure OpenAI
  • Qdrant
  • Chroma
  • LanceDB
  • Milvus
  • Redis
  • MCP

Alternatives to Langroid

See all Langroid alternatives →

Used Langroid? Be the first to review it

The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used Langroid for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.

Write a reviewTwo minutes · verified accounts only · read by an editor before it appears

Reviews come only from verified accounts. Sign in or create an account first — your e-mail is never shown.

Your rating

0 characters · at least 80, up to 3,000

Posted from your verified account. Reviews appear after an editor reads them, usually within two working days.

Featured on iTechGuides

Featured on iTechGuides — Langroid 6.8/10

Langroid is listed in our LLM Application Development Frameworks directory. Add the badge to your site — it links back to this page.

<a href="https://www.itechguides.com/products/langroid/"><img src="https://www.itechguides.com/best/badge/langroid.svg" alt="Featured on iTechGuides" width="230" height="46"></a>

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. How we rank.

Last updated · How we research and update