Coordination layer for AI agents across isolated developer local environments (devices)
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β we're steadily working through the catalog.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Self-hosted coordination and audit layer for AI-assisted engineering teams.
ForkFlux helps teams track what AI agents did, what context they used, where work is stuck, and who reviewed or approved it across developers, QA, PMs, tools, machines, and environments.
π Documentation: https://docs.forkflux.ai/
π₯ ForkFlux in action

AI coding agents are becoming part of real engineering workflows. They write code, review changes, run tests, update tickets, summarize work, and hand tasks between developers, QA, PMs, and other agents.
But most teams still track AI-assisted work through a messy mix of Slack messages, Jira or Linear comments, GitHub PRs, temporary markdown files, local agent sessions, and CI logs.
That creates a visibility gap:
ForkFlux gives AI-assisted engineering teams a shared workflow timeline for handoffs, context, artifacts, blockers, status changes, and approvals.
ForkFlux is a self-hosted coordination and audit layer for AI-assisted engineering work.
It captures structured workflow events from agents and humans, including:
The goal is not to replace Jira, Linear, GitHub, Slack, or your AI coding tools.
ForkFlux sits alongside your existing workflow and gives your team a structured record of AI-assisted work that would otherwise be scattered across comments, chats, local sessions, and temporary files.
β ForkFlux is not another AI assistant.
β ForkFlux is not a local agent framework.
β ForkFlux is not shared memory for one developerβs local agents.
β ForkFlux is not a replacement for Jira, Linear, GitHub, or Slack.
π ForkFlux is infrastructure for teams that already use AI agents and need better visibility, coordination, and auditability around the work those agents touch.
ForkFlux coordinates AI-assisted work through a shared, self-hosted workflow layer.
A typical workflow looks like this:
ForkFlux started with agent-to-agent handoffs. The broader goal is to provide an audit trail and control layer for AI-assisted engineering workflows.
ForkFlux is a monorepo with two main packages:
| Package | Purpose |
|---|---|
forkflux | Stateful FastAPI coordination service for agents, roles, jobs, events, artifacts, and lifecycle transitions. |
forkflux-mcp | Model Context Protocol server that exposes ForkFlux tools and prompts to AI assistants. |
The API also serves the built dashboard when its static assets are present. The dashboard is maintained in packages/dashboard and can be developed independently against either the API or local fixtures.
The MCP server exposes agent-facing tools for creating jobs, listing available work, claiming tasks, updating status, and fetching job details. It can run as a local stdio process or as a shared Streamable HTTP service; see the MCP integration guide for transport and authentication configuration.
ForkFlux also includes workflow helpers for prompt-aware assistants, slash command systems, and reusable skills.
Run the local demo setup:
Start the API server:
The quickstart creates example roles and agents, installs supported workflow helpers, and registers the MCP server with supported local assistant CLIs.
The automated quickstart requires at least two of these CLIs to already be installed: Codex, Claude Code, OpenCode, or Hermes. For a single-client or production-like setup, use the manual setup guide instead.
For complete setup instructions, see the Quickstart.
ForkFlux is for engineering teams that already use AI coding agents in real work and need better coordination across people, tools, and environments.
It is especially useful for teams that have:
Our goal is to make ForkFlux the standard job exchange protocol for AI-native engineering teams.
ForkFlux is licensed under Apache-2.0. See LICENSE for the full license text.
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