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PraisonAI

Python framework for multi-agent teams and workflows, with a CLI and Docker, MCP and A2A deployment options.

Harness by Mervin Praison

IndexedMIT★ 9,288
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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

PraisonAI provides single agents, agent teams and AgentFlow workflows through the praisonaiagents Python package, which installs with pip. The documentation lists deployment through Docker, cloud, an MCP server and the A2A protocol, and chat delivery to Telegram, Discord and Slack. The README example sets an OPENAI_API_KEY environment variable before an agent runs. The docs also describe a Claw dashboard that the praisonai command starts.

Use cases: agent-orchestration, workflow-automation

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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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Featured in

Signals

Stars
9,288
Forks
1,485
Open issues
116
Contributors
94
Weekly downloads
4,621
Last commit
Oct 24, 2026 (3 days ago)
Last release
Oct 23, 2026 (4 days ago)
Last package publish
Oct 23, 2026 (4 days ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Packages
pypi praisonaiagentspypi praisonai
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Cite this page

PraisonAI. Agent Mart. https://agentmart.dev/harnesses/praisonai (last updated 2026-10-24)