# MervinPraison/PraisonAI

PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.

Repository: https://github.com/MervinPraison/PraisonAI
Canonical: https://ross.abutalabs.com/products/praisonai
Homepage: https://praison.ai/docs
Language: Python
License: MIT
License Family: permissive
Topics: agents, ai, aiagent, aiagents, framework, aiagentframework, aiagentsframework, ai-agent-framework, ai-agents, ai-agents-framework, multi-agent, multi-agent-system, multi-agents, multi-ai-agents, ai-agent-sdk, ai-agents-sdk, ai-framwork, openclaw, hermes, hermes-agent
Last push: 2026-08-26T23:35:10+00:00

## Health v2 (maintenance only)
Score: 88/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 87, longevity 64
- inputs: {"age_days": 897, "days_push": 7, "days_rel": 7, "gap_med": 0.0, "n_releases_24m": 787}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 8965, forks 1424 (observed 2026-08-28T04:10:26.502863+00:00)

## What it is
PraisonAI is a Python multi-agent framework for building and deploying autonomous, self-improving AI agents with built-in memory, RAG, and support for 100+ LLMs. It includes a CLI, dashboards, workflow orchestration (AgentTeam, AgentFlow, AgentOS), and gateways for Telegram, Discord, and Slack.

## Use cases
- build autonomous ai agents in python
- orchestrate multi-agent teams that research and write
- deploy ai agents to telegram discord slack
- add memory and rag to llm agents
- run ai agents from the command line
- build production agent apis with webhooks and scheduling
- integrate mcp tools with ai agents
- automate workflows with self-improving agents

## When to choose
- you want a batteries-included multi-agent framework with UI, CLI, memory, and RAG out of the box
- you need to deploy agents across chat platforms like Telegram, Discord, or Slack
- you want minimal boilerplate with agents running in a few lines of Python
- you need support for 100+ LLM providers and MCP/A2A integration

## When to avoid
- you need a minimal, single-purpose agent library with a tiny dependency footprint
- you require a framework in a language other than Python (though JS/Rust SDKs exist, the core is Python)
- you need strict, deterministic pipelines rather than autonomous LLM-driven agents

## Facets
- artifact type: framework
- maturity: active
- function: agent-framework, rag, llm-inference, chatbot, mcp, workflow-automation, cli, sdk
- domain: artificial-intelligence, large-language-models, chatbots, developer-tools
- platform: python, cross-platform, cli, self-hosted
- tags: multi-agent, ai-agents, agent-orchestration, llm-tools, telegram-bot, discord-bot, slack-bot, low-code, memory, agent-team, agentflow, mcp-server, a2a-protocol, retrieval-augmented-generation, automation, docker, web-server

## Member repositories
- MervinPraison/PraisonAI (main) score 88

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:26.502863+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:24:26.700619+00:00, confidence not recorded.
  - readme: https://github.com/MervinPraison/PraisonAI (fetched 2026-08-28T04:10:26.502863+00:00, sha 841c94faa6fd)
  - homepage: https://praison.ai/docs (fetched 2026-08-29T08:24:54.090268+00:00, sha 2170339a6bec)
  - site_page: https://praison.ai/docs/introduction (fetched 2026-08-29T08:24:54.096184+00:00, sha 6d54a2a7a6a0)
  - site_page: https://praison.ai/docs/cli/cli (fetched 2026-08-29T08:24:54.097957+00:00, sha 8f7a669ed4e7)
  - site_page: https://praison.ai/docs/gateway (fetched 2026-08-29T08:24:54.100253+00:00, sha c88e23383b6e)
  - site_page: https://praison.ai/docs/agents/agents (fetched 2026-08-29T08:24:54.103456+00:00, sha 02cd96ed02ba)
  - site_page: https://praison.ai/docs/code/overview (fetched 2026-08-29T08:24:54.105068+00:00, sha 87008337ec0a)
  - site_page: https://praison.ai/docs/ui/overview (fetched 2026-08-29T08:24:54.106612+00:00, sha 0a53f9d753fe)
- Data as of 2026-08-30T08:39:29.467469+00:00.