PraisonAI
PraisonAI is an open-source multi-agent AI framework that lets you build, deploy, and orchestrate autonomous AI agents with memory, RAG, MCP support, and 100+ LLM integrations in just 5 lines of code.
At a Glance
About PraisonAI
PraisonAI is an open-source Python and JavaScript framework for building autonomous, self-improving AI agents that can research, plan, code, and execute tasks across your applications. It supports single and multi-agent workflows, ships with built-in memory and RAG, and integrates with 100+ LLMs including OpenAI, Anthropic, Gemini, and local models via Ollama. The ecosystem spans a core SDK, CLI, visual flow builder, dashboard UI, and MCP protocol support — all deployable in 5 lines of code.
- Multi-Agent Orchestration — Create sequential, parallel, or routed agent pipelines using
Agents([agent1, agent2])or YAML config files. - MCP Protocol Support — Connect agents to any MCP server via stdio, HTTP, WebSocket, or SSE transports using
tools=MCP(...). - Built-in Memory & RAG — Enable short/long-term memory with
memory=Trueand retrieval-augmented generation with zero extra dependencies. - 100+ LLM Providers — Switch between OpenAI, Anthropic, Gemini, DeepSeek, Mistral, Groq, Ollama, AWS Bedrock, Azure, and 20+ more.
- Claw Dashboard — Deploy agents to Telegram, Discord, Slack, and WhatsApp from a single web UI via
pip install "praisonai[claw]". - Flow Visual Builder — Drag-and-drop multi-agent workflow creation powered by Langflow via
pip install "praisonai[flow]". - Planning & Deep Research — Enable autonomous multi-step research and planning with
planning=Trueand--deep-researchCLI flags. - Guardrails & Human Approval — Add input/output validation and human-in-the-loop checkpoints to any agent pipeline.
- Workflow Patterns — Use route, parallel, loop, and repeat patterns for complex agentic workflows.
- Telemetry & Tracing — Monitor agents with OpenTelemetry and Langfuse tracing out of the box.
- CLI Quick Start — Install with
pip install praisonaiorcurl -fsSL https://praison.ai/install.sh | bashand run agents from the terminal. - JavaScript SDK — Use
npm install praisonaifor Node.js-based agent development. - Persistence — Persist agent sessions and conversations to PostgreSQL, MySQL, SQLite, MongoDB, Redis, and 20+ databases.
- Sandbox Execution — Run agent-generated code in isolated sandboxes for safe autonomous operation.
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Pricing
Open Source (MIT)
Fully free and open-source under the MIT License. Use, modify, and distribute freely.
- Full source code access on GitHub
- MIT License — free to use, modify, and distribute
- Core SDK (praisonaiagents)
- CLI (praisonai)
- Claw Dashboard
Capabilities
Key Features
- Single and multi-agent orchestration
- MCP protocol support (stdio, HTTP, WebSocket, SSE)
- Built-in memory (short and long-term)
- RAG and quality-based RAG
- 100+ LLM provider integrations
- Claw Dashboard for Telegram/Discord/Slack/WhatsApp
- Flow visual drag-and-drop workflow builder
- Deep research and planning mode
- Guardrails and human approval
- Workflow patterns: route, parallel, loop, repeat
- OpenTelemetry and Langfuse tracing
- CLI with interactive TUI
- JavaScript SDK
- Database persistence (PostgreSQL, MySQL, SQLite, MongoDB, Redis)
- Sandbox code execution
- Agent handoffs
- Self-reflection and reasoning agents
- Prompt caching
- Model router for cost optimization
- Shadow Git checkpoints and auto-rollback
- Context compaction
- Doom loop detection
- Graph memory (Neo4j-style)
- Background tasks
- Policy engine
- YAML-based no-code agent configuration
- 100+ built-in tools
- Multimodal agents (image, video, camera)
- Scheduling (cron-based agents)
- A2A agent-to-agent protocol
Integrations
Demo Video
