PraisonAI
Python framework for multi-agent teams and workflows, with a CLI and Docker, MCP and A2A deployment options.
Harness by Mervin Praison
Chalk Labs
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Install
From the package registry. Read the repository before you give any tool access to your data.
pip install praisonaiagents
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About
Use cases: agent-orchestration, workflow-automation
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Fact sheet
- Languages
- Python, JavaScriptpraison.ai
- Packages
- praisonaiagents (pypi), praisonai (pypi)README
- Multi-agent
- Yespraison.ai
- Orchestration
- sequential, handoffsREADME
- MCP support
- Built inpraison.ai
- A2A support
- Built inpraison.ai
- Deploys to
- docker, cloudpraison.ai
- Model providers
- openai, anthropic, google, ollama, groqpraison.ai
- Maturity
- Stablegithub.com
Facts extracted by Claude Haiku 5.5 from the linked sources on Oct 24, 2026; reviewed Oct 24, 2026. Wrong fact? Tell us.
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Compare and alternatives
Featured in
Signals
- Stars
- 9,288
- Forks
- 1,485
- Open issues
- 116
- Contributors
- 94
- Weekly downloads
- 4,621
- Last commit
- Oct 24, 2026 (6 days ago)
- Last release
- Oct 23, 2026 (8 days ago)
- Last package publish
- Oct 23, 2026 (8 days ago)
From GitHub (fetched Oct 24, 2026) and the package registry.
Details
- Packages
- pypi
praisonaiagentspypipraisonai - License
- MIT
- Repository
- github.com/MervinPraison/PraisonAI
- Website
- praison.ai/docs
- Docs
- docs.praison.ai/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- READMEDocsgithub-graphql
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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- launches shipped
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- 500+
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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
PraisonAI. Agent Mart. https://agentmart.dev/harnesses/praisonai (last updated 2026-10-24)