Langroid
Python framework for LLM apps built from collaborating agents that hold conversation state, tools and vector-store memory.
Harness by Langroid
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Install
From the package registry. Read the repository before you give any tool access to your data.
pip install langroid
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About
Use cases: agent-orchestration
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Fact sheet
- Languages
- PythonREADME
- Packages
- langroid (pypi)README
- Multi-agent
- YesREADME
- Orchestration
- otherREADME
- MCP support
- Via adapterREADME
- Memory
- short-term, long-term, vectorlangroid.github.io
- Maturity
- Betagithub.com
Facts extracted by Claude Haiku 5.5 from the linked sources on Oct 24, 2026. Wrong fact? Tell us.
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Signals
- Stars
- 4,120
- Forks
- 428
- Open issues
- 43
- Weekly downloads
- 3,379
- Last commit
- Oct 24, 2026 (6 days ago)
- Last release
- Oct 24, 2026 (6 days ago)
- Last package publish
- Oct 24, 2026 (6 days ago)
From GitHub (fetched Oct 24, 2026) and the package registry.
Details
- Packages
- pypi
langroid - License
- MIT
- Repository
- github.com/langroid/langroid
- Website
- langroid.github.io/langroid/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
Done for you
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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
Langroid. Agent Mart. https://agentmart.dev/harnesses/langroid (last updated 2026-10-24)