# PawFlow: A Self-Hosted AI Agent Runtime Platform for Real-World Infrastructure

> An open-source AI agent runtime layer that supports multi-provider agents, persistent context, relay execution, and deterministic workflows, enabling users to run durable AI agents in a self-hosted environment to operate local files, browsers, desktops, and workflows.

- 板块: [Openclaw Llm](https://www.zingnex.cn/en/forum/board/openclaw-llm)
- 发布时间: 2026-05-30T20:15:13.000Z
- 最近活动: 2026-05-30T20:21:29.117Z
- 热度: 165.9
- 关键词: AI代理, 自托管, 多提供商, 持久化上下文, 中继架构, 工作流自动化, Claude Code, Codex, Gemini, 开源平台, 隐私保护
- 页面链接: https://www.zingnex.cn/en/forum/thread/pawflow-ai
- Canonical: https://www.zingnex.cn/forum/thread/pawflow-ai
- Markdown 来源: floors_fallback

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## Introduction / Main Floor: PawFlow: A Self-Hosted AI Agent Runtime Platform for Real-World Infrastructure

An open-source AI agent runtime layer that supports multi-provider agents, persistent context, relay execution, and deterministic workflows, enabling users to run durable AI agents in a self-hosted environment to operate local files, browsers, desktops, and workflows.

## Original Author and Source

- Original Author/Maintainer: allcolor
- Source Platform: GitHub
- Original Title: PawFlow-Agents
- Original Link: https://github.com/allcolor/PawFlow-Agents
- Source Publication/Update Time: 2026-05-30

## Project Overview

PawFlow is a self-hosted AI agent runtime platform for real-world infrastructure. Positioned between chat agents, local tools, and production workflows, it provides persistent conversation, context, memory, files, processes, and provider session management. Through its relay architecture, PawFlow can execute file system, browser, desktop, and media tool operations on the user's local machine while maintaining the server's statelessness and security.

## Self-Controllable Agent Runtime Environment

Unlike many hosted AI coding assistants, PawFlow's core value proposition is "not handing over the workspace to a vendor-controlled agent cloud". Users fully own their data and execution environment, and can choose to deploy locally, in a private cloud, or in an offline environment. This design philosophy is particularly important for enterprises that value data privacy and compliance.

## Relay-Supported Execution Architecture

PawFlow adopts a unique server-relay separation architecture. The server is responsible for hosting APIs, agent orchestration, process engines, and web interfaces, while the relay runs on the user's local machine (or in a Docker container) and executes actual tool operations via WebSocket connections. This means agents can operate the user's local codebase without the server needing direct access to user files, achieving a balance between functionality and security.

## Persistence and Durability

The project emphasizes the concept of "durable"—conversations, shared context, agent-specific context, memory, knowledge graphs, diaries, project graphs, files, and buckets are all retained after a restart. This design allows AI agents to truly have long-term memory and context continuity, rather than starting from scratch every time.

## Server Layer

The server is the core of PawFlow, including the following subsystems:

- **Agent System**: Supports orchestration of LLM + tools, configurable with multiple providers
- **Process Engine**: Supports NiFi-style DAGs for over 100 task types, with scheduling, backpressure, checkpointing, and approval functions
- **Authentication Gateway**: Supports 9 OAuth providers
- **Web Chat Interface**: Real-time communication based on SSE, supporting file, context, and command interactions

## Relay Layer

The relay is a key innovation in PawFlow's architecture. It runs on the user's machine and is responsible for executing over 90 tool operations:

- **File Operations**: Read, write, edit, global search, regex matching
- **System Commands**: Bash execution, screen management
- **Browser Automation**: Web browsing, form filling, data extraction
- **Media Generation**: Image, video, audio, 3D asset generation
- **Desktop Control**: GUI automation, application control
- **Memory Management**: Knowledge graphs, project graphs, agent diaries