PawFlow-Agents

What it does

PawFlow (Platform for Agentic Workflows) is a self-hosted runtime environment designed for building and deploying durable AI agents. It enables agents to interact with your own infrastructure, including files, custom tools, browsers, desktops, and external services. The platform supports deterministic flows, shared context management, and multi-provider agent coordination with relay-backed execution for reliable operation.

How to set up

PawFlow is deployed as a self-hosted solution. Installation typically involves: (1) cloning or downloading the repository from GitHub, (2) configuring your environment variables and infrastructure connections, (3) setting up the relay backend for execution coordination, (4) connecting your preferred LLM providers, and (5) starting the runtime service. Detailed setup instructions are available in the GitHub repository documentation.

Key features

• Self-hosted agent runtime with full infrastructure control
• Support for multiple LLM providers and MCP (Model Context Protocol) integration
• Durable execution with relay-backed reliability
• Integration with custom tools, browsers, desktops, and services
• Deterministic workflow execution and shared context management
• Multi-agent orchestration and coordination capabilities