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. observed · 2026-08-28
Health v2 · maintenance only
88/100
- Activity 99
- Release rhythm 87
- Longevity 64
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 0.0
- age_days: 897
- days_rel: 7
- days_push: 7
- n_releases_24m: 787
Adoption not part of the score
8965 stars · 1424 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
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
framework · maturity active
agent-framework rag llm-inference chatbot mcp workflow-automation cli sdk artificial-intelligence large-language-models chatbots developer-tools python cross-platform cli self-hosted 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
8 sources
- readme: https://github.com/MervinPraison/PraisonAI · fetched 2026-08-28 · 841c94faa6fd
- homepage: https://praison.ai/docs · fetched 2026-08-29 · 2170339a6bec
- site_page: https://praison.ai/docs/introduction · fetched 2026-08-29 · 6d54a2a7a6a0
- site_page: https://praison.ai/docs/cli/cli · fetched 2026-08-29 · 8f7a669ed4e7
- site_page: https://praison.ai/docs/gateway · fetched 2026-08-29 · c88e23383b6e
- site_page: https://praison.ai/docs/agents/agents · fetched 2026-08-29 · 02cd96ed02ba
- site_page: https://praison.ai/docs/code/overview · fetched 2026-08-29 · 87008337ec0a
- site_page: https://praison.ai/docs/ui/overview · fetched 2026-08-29 · 0a53f9d753fe
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| MervinPraison/PraisonAI | main | 88 |
For agents
markdown · JSON · MCP: product_card(name="MervinPraison/PraisonAI")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem