Works with OpenClaw

OpenClaw is an MIT-licensed, self-hosted assistant gateway (source). It runs isolated agents, sub-agents and Swarm, and speaks MCP and ACP in both directions, so PraisonAI connects to it through standard protocols.

Quick Start

Let a PraisonAI agent use OpenClaw

from praisonaiagents import Agent
from praisonaiagents.mcp import MCP

agent = Agent(
    instructions="You are a helpful assistant.",
    tools=MCP("openclaw mcp serve"),
)
agent.start("List my OpenClaw conversations")  # Prints the conversations OpenClaw exposes

Let OpenClaw call PraisonAI

pip install praisonai-mcp
openclaw mcp add praisonai --command praisonai-mcp --arg serve --arg --transport --arg stdio

Integration Paths

OpenClaw → PraisonAI (MCP)
PraisonAI → OpenClaw (MCP)
ACP
Skills

Run PraisonAI as an MCP server. Transports are stdio and http-stream.

pip install praisonai-mcp
openclaw mcp add praisonai --command praisonai-mcp --arg serve --arg --transport --arg stdio

See PraisonAI MCP Package. OpenClaw reference: openclaw mcp.

openclaw mcp serve exposes OpenClaw conversations to any MCP client.

from praisonaiagents import Agent
from praisonaiagents.mcp import MCP

agent = Agent(instructions="Summarise my chats", tools=MCP("openclaw mcp serve"))
agent.start("Summarise my latest conversation")  # Prints a short summary

OpenClaw reference: openclaw mcp.

praisonai acp is an ACP server. OpenClaw runs external ACP harnesses through acpx and accepts custom agents with --agent <command>.

This path has not been tested end to end.

See ACP. OpenClaw references: openclaw acp, ACP agents setup.

Both sides use SKILL.md with YAML frontmatter. PraisonAI parses metadata.openclaw into SkillRequirements.openclaw_hints.See Hermes & OpenClaw Skills Import. OpenClaw reference: skill format.

Capabilities at a Glance

Capability	PraisonAI	OpenClaw
MCP server	`praisonai-mcp serve`	`openclaw mcp serve`
MCP client	`MCP(...)` tool	`openclaw mcp add` (stdio, streamable-http)
ACP	`praisonai acp`	`openclaw acp` and `/acp spawn`
Multi-agent	Multi-agent workflows	Isolated agents in one Gateway
Sub-agents	Agent handoffs	`sessions_spawn`, Swarm
Skills format	`SKILL.md`	`SKILL.md`
Channels	Bot Gateway	Gateway channels (docs)

Best Practices

Bind MCP to localhost

Use stdio, or bind http-stream to 127.0.0.1, so only local clients reach your tools.

One virtualenv per side

Install PraisonAI and OpenClaw in separate environments to avoid dependency clashes.

Pin versions

Pin praisonai-mcp and the OpenClaw release so protocol changes do not break the link.

PraisonAI MCP Package

Serve agents and tools over MCP

ACP

Agent Client Protocol server

Skills Import

Reuse OpenClaw and Hermes skills

Bot Gateway

Run agents on messaging channels

Getting Started

Install

Core Concepts

Guides

Features

Models

Databases

Observability

Memory

Telemetry & Analytics

Knowledge

RAG

Persistence

Tools

Other Features

Developers

Configuration

Best Practices

Getting Started (No Code)

Works with OpenClaw

Quick Start

Integration Paths

Capabilities at a Glance

Best Practices

PraisonAI MCP Package

ACP

Skills Import

Bot Gateway

​Quick Start

​Integration Paths

​Capabilities at a Glance

​Best Practices

​Related

PraisonAI MCP Package

ACP

Skills Import

Bot Gateway

Quick Start

Integration Paths

Capabilities at a Glance

Best Practices

Related