PraisonAI
MervinPraison/PraisonAI
Python framework for autonomous single and multi-agent systems with memory, RAG, tools and MCP
PraisonAI is a Python framework for building autonomous AI agents, from a single agent to multi-agent teams, in a few lines of code. It is tagged hermes, hermes-agent and openclaw, but the opening part of the README does not describe how it relates to Hermes Agent.
What PraisonAI does
PraisonAI is a Python framework for building autonomous AI agents, from one agent to a multi-agent organization, deployed in about five lines of code. The core SDK, praisonaiagents, takes instructions or a goal, for example Agent(instructions=...) followed by agent.start(...). The README describes a five-layer agent stack of prompt, context, harness, loop and graph, plus an outer managed-agents layer for where the agent runs. Parameters such as memory=, knowledge=, tools=, MCP(), guardrails=, approval=, hooks= and sandbox= map onto those layers.
Listed use cases include research and analysis, code generation, content creation, data pipelines, customer support bots on Telegram, Discord and Slack with memory, and workflow automation with agent handoffs. The repository description claims built-in memory, RAG and support for 100+ LLMs. The opening part of the README does not say how PraisonAI works with Hermes Agent.
Key features
- Agent SDK started with a few lines of Python
- Five-layer stack: prompt, context, harness, loop and graph
- Memory, knowledge, tools, MCP, guardrails, approval and hooks as agent parameters
- Multi-agent handoffs and workflow automation
- Support bots for Telegram, Discord and Slack with memory
- One-line install script and pip packages
When to use it
- Building a research agent that searches, plans and writes up results
- Running a team of agents that hand off tasks and verify each other
- Deploying a customer support bot on Telegram or Slack
Who it is for: Python developers who want a framework for building autonomous agents and multi-agent workflows.
How it fits with Hermes Agent
The repository is tagged hermes, hermes-agent and openclaw, but the opening part of the README does not describe a Hermes integration. It is an independent framework whose memory, MCP and messaging features overlap with what Hermes Agent users work with.
How to install PraisonAI
These commands are copied from the project's README. Check the repository for the latest steps before you run them.
curl -fsSL https://praison.ai/install.sh | bash
pip install praisonai
pip install praisonaiagents
export OPENAI_API_KEY="your-api-key"Requirements: An LLM API key such as OPENAI_API_KEY for the quickstart example
FAQ
What is PraisonAI?
PraisonAI is a Python framework for building autonomous AI agents and multi-agent systems. It provides memory, knowledge, tools, MCP support, guardrails and workflow features behind a small agent API.
Does PraisonAI work with Hermes Agent?
The repository is tagged hermes and hermes-agent, but the opening part of the README does not describe a Hermes integration. It is a separate agent framework.
How do I install PraisonAI?
Run curl -fsSL https://praison.ai/install.sh | bash, or install the packages with pip install praisonai or pip install praisonaiagents. Then export your OPENAI_API_KEY before running the quickstart agent.
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