ai-devkit logo
ai-devkit
★ 1.7k
vs
agent-bridge logo
agent-bridge
★ 406

ai-devkit vs agent-bridge

ai-devkit: AI DevKit is a local-first operating layer for teams running several coding agents. One .ai-devkit.json reconciles skills, MCP and setup across Claude Code, Codex CLI, Gemini CLI, opencode, Pi, Cursor, Copilot and others; agent console is a live TUI for running sessions; agent send routes prompts, logs or stdin to a running agent; and a local SQLite memory is searched over MCP when needed. A dev-lifecycle skill guides requirements, design, planning, implementation, testing and review.; agent-bridge: AgentBridge uses a two-process architecture with a foreground MCP client (bridge.ts) and a persistent background daemon (daemon.ts). It enables bidirectional communication between Claude Code and Codex via a control WebSocket and proxy, with automatic reconnection and message loop prevention.

01

TL;DR

ai-devkit logo
ai-devkitDev Tooling · ★ 1.7k

Keeping one setup across Claude Code, Codex and Cursor in a team repo

agent-bridge logo
agent-bridgeDev Tooling · ★ 406

Connect Claude Code and Codex in a single workflow for collaborative development

02

Side-by-Side Comparison

Field
ai-devkit logoai-devkit
agent-bridge logoagent-bridge
Category
Dev Tooling
Dev Tooling
Stars
★ 1.7k
★ 406
License
Apache-2.0
MIT
Install Command
npx ai-devkit@latest setup && npx ai-devkit@latest init
npm install -g @raysonmeng/agentbridge && abg init
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
coding-agents, claude-code, codex
agent-collaboration, claude-code, cli
03

Features

ai-devkit logoai-devkit
01One .ai-devkit.json that writes agent files, skills and MCP setup for each tool you pick
02agent list and agent console to supervise sessions across providers
03agent send with --stdin, --wait and groups to route work to running agents
04Local SQLite memory exposed via MCP and CLI, retrieved only when useful
05dev-lifecycle, verify, tdd, review, debugging and security skills
agent-bridge logoagent-bridge
01Two-process architecture: foreground MCP client and background daemon
02Automatic reconnection with exponential backoff
03Message loop prevention via source field tagging
04Installable via plugin marketplace or local development setup
05CLI tool for lifecycle management (init, claude, codex, kill)
04

Use Cases

ai-devkit logoai-devkit
↳Keeping one setup across Claude Code, Codex and Cursor in a team repo
↳Piping test output to a running agent or a group of reviewer agents
↳Giving agents searchable project conventions without bloating every prompt
agent-bridge logoagent-bridge
↳Connect Claude Code and Codex in a single workflow for collaborative development
↳Facilitate human-in-the-loop collaboration between multiple AI agents
↳Serve as a local developer tool for testing multi-agent interactions
FAQ

FAQ

What is the difference between ai-devkit and agent-bridge?
Both ai-devkit and agent-bridge are in the Dev Tooling category. ai-devkit has 1.7k stars, while agent-bridge has 406 stars.
Which is better, ai-devkit or agent-bridge?
The best choice depends on your use case. Choose ai-devkit if Keeping one setup across Claude Code, Codex and Cursor in a team repo, and agent-bridge if Connect Claude Code and Codex in a single workflow for collaborative development.
Is ai-devkit free or open source?
Yes, ai-devkit is open source on GitHub (Apache-2.0).
Is agent-bridge free or open source?
Yes, agent-bridge is open source on GitHub (MIT).
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