Run Claude + Codex + Gemini together, sync Skills across IDEs, route tasks between models. The orchestration layer for multi-model agentic workflows.
Multi-AI Bridge & Cross-IDE Sync tools are AI-powered software designed to help developers and teams tackle multi-ai bridge & cross-ide sync-related tasks more efficiently. These tools are typically published as open-source projects on GitHub and can be integrated into existing workflows via MCP (Model Context Protocol), Claude Skills, or standalone agent frameworks. On Agent Skills Hub, we index 25 quality-scored multi-ai bridge & cross-ide sync tools across languages including Python, JavaScript, TypeScript.
In 2026, the AI agent ecosystem is maturing rapidly. Multi-AI Bridge & Cross-IDE Sync tools can significantly boost development efficiency by automating repetitive tasks, reducing human error, and providing intelligent suggestions. The top 3 tools — claude_codex_bridge, cross-code-organizer, skills-link — have earned an average of 4,052 GitHub stars, reflecting strong community validation. 21 of the listed tools come with clear open-source licenses, ensuring freedom to use and modify.
When choosing a multi-ai bridge & cross-ide sync tool, consider these factors: 1) Community activity — GitHub stars and recent commit frequency indicate reliability; 2) Integration method — check if it supports MCP, Claude, or your preferred agent framework; 3) Language compatibility — the most common language in this list is Python; 4) Quality score — Agent Skills Hub's composite score evaluates code quality, documentation completeness, and maintenance activity. Our recommendation: start with claude_codex_bridge — it ranks highest in both star count and quality score.
Real-time multi-AI collaboration: Claude, Codex & Gemini with persistent context, minimal token overhead
Cross-Code Organizer (formerly Claude Code Organizer): cross-harness config dashboard for Claude Code, Codex CLI, MCP servers, skills, memories, agents, sessions, security scanning, context budget, and backups.
Sync your local skills across 41+ AI coding agents with a single command.
A curated list of awesome claude marketplaces and plugins
```
cam plugin marketplace install superpowers-marketplace
```Eleven Claude Code skills ported to OpenCode: code-review, security-review, feature-dev, frontend-design + 7 more. One config line, one plugin.
Desktop app to manage AI coding agent skills across Claude Code, Cursor, Gemini CLI, Codex, and 20+ platforms from one place.
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
Autopus-ADK is of the agents, by the agents. for the agents. Multi-model orchestration (consensus/pipeline/debate/fastest). Architecture-as-Code, Lore decision tracking, SPEC/EARS engine.
⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org
Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.
The Agent Harness for AI-Human Collaboration, inspired by the AI-DLC (AI-Driven Development Lifecycle)
Self-Learning Multi-agent orchestration harness for spec-driven development and automated verification.
⚡️AI Cloud OS: Open-source enterprise-level AI knowledge base and MCP (model-context-protocol)/A2A (agent-to-agent) management platform with admin UI, user management and Single-Sign-On⚡️, supports ChatGPT, Claude, Llama, Ollama, HuggingFace, etc., chat bot demo: https://ai.casibase.com, admin UI demo: https://ai-admin.casibase.com
Create AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistants and multi-agent AI workflows.
Autonomous software engineering fleet of AI agents for production-grade PRs on AgentField: plan, code, test, and ship.
🚀 One sentence → multi-AI-role collaboration → complete plan in minutes. 211+ expert roles, zero-code YAML, 9 LLM providers (6 free). 一句话调度多个AI专家自动协作，几分钟交付完整方案。
Open-source self-hosted AI agent runtime and multi-agent framework for autonomous agent swarms. Agent memory, MCP tools, schedules, delegation, and 23+ LLM providers (Claude, GPT, Gemini, OpenRouter, Ollama). A practical Claude Code and LangChain alternative.
A social platform for humans and AI agents, built and maintained by its own AI team. Connect any agent via HTTP.
A platform designed for building enterprise-grade, multi-tenant products using Azure, .NET, React, TypeScript, Infrastructure as Code, etc.
Self-hosted bridge that lets you interact with AI coding agents (Claude Code, Codex, etc.) from messaging platforms (Telegram, Discord, etc.) via the Agent Client Protocol (ACP).
Turn AI into a persistent, memory-powered collaborator. Universal MCP Server (supports HTTP, STDIO, and WebSocket) enabling cross-platform AI memory, multi-agent coordination, and context sharing. Built with MARM protocol for structured reasoning that evolves with your work.
Real Claude Code & Codex CLI on Telegram — native CLI harness with session resume, isolated multi-bot instances, Agent Bus delegation/fan-out/crew workflows, voice input, streaming, and tools.
Medieval village economy simulation — up to 1000 LLM agents across multiple villages, driven by supply chains, hunger, tool degradation and market pressure.
A local bridge for bidirectional collaboration between Claude Code and Codex. 连接 Claude Code 与 Codex 的本地实时协作桥接工具。
| Tool | Stars | Language | License | Score |
|---|---|---|---|---|
| claude_codex_bridge | ★ 2.5k | Python | — | 43 |
| cross-code-organizer | ★ 296 | JavaScript | MIT | 43 |
| skills-link | ★ 122 | TypeScript | MIT | 36 |
| awesome-claude-plugins | ★ 87 | Python | — | 47 |
| opencode-power-pack | ★ 313 | JavaScript | MIT | 54 |
| skills-manage | ★ 1.8k | TypeScript | Apache-2.0 | 45 |
| deer-flow | ★ 66.5k | Python | MIT | 56 |
| autopus-adk | ★ 97 | Go | MIT | 36 |
| hive | ★ 10.3k | Python | Apache-2.0 | 48 |
| openagent | ★ 4.6k | Go | Apache-2.0 | 42 |
| nexent | ★ 4.4k | Python | MIT | 44 |
| Chorus | ★ 803 | TypeScript | AGPL-3.0 | 40 |
| gem-team | ★ 107 | — | Apache-2.0 | 40 |
| casibase | ★ 4.5k | Go | Apache-2.0 | 43 |
| agents | ★ 1.1k | TypeScript | — | 41 |
| SWE-AF | ★ 754 | Python | Apache-2.0 | 43 |
| agency-orchestrator | ★ 595 | TypeScript | Apache-2.0 | 46 |
| swarmclaw | ★ 472 | TypeScript | MIT | 41 |
| commonly | ★ 470 | TypeScript | — | 37 |
| PlatformPlatform | ★ 425 | C# | MIT | 41 |
| OpenACP | ★ 347 | TypeScript | MIT | 38 |
| MARM-Systems | ★ 256 | Python | MIT | 47 |
| cc-telegram-bridge | ★ 168 | TypeScript | MIT | 44 |
| brunnfeld-agentic-world | ★ 116 | TypeScript | MIT | 41 |
| agent-bridge | ★ 103 | TypeScript | MIT | 38 |
The top multi-ai bridge & cross-ide sync tools in 2026 are claude_codex_bridge, cross-code-organizer, skills-link. Agent Skills Hub ranks 25 options by GitHub stars, quality score (6 dimensions including completeness, examples, and agent readiness), and recent activity. The list is rebuilt every 8 hours from live GitHub data.
claude_codex_bridge (2.5k stars) is the most adopted choice for general multi-ai bridge & cross-ide sync workflows, written in Python. cross-code-organizer (296 stars) is a strong alternative and uses JavaScript instead. Pick by your existing stack: match the language and runtime your team already uses to minimize integration cost. If unsure, start with claude_codex_bridge — it has the deepest community and the most examples online.
Avoid pre-built multi-ai bridge & cross-ide sync tools when (1) your use case requires deep customization that the tool's plugin system doesn't support, (2) you have strict compliance requirements that ban third-party dependencies, (3) the tool's maintenance is inactive (last commit >6 months ago), or (4) your data volume is small enough that a 50-line custom script is cheaper than learning the tool. For most production workflows above 100 requests/day, the time savings from a maintained tool outweigh the customization loss.
Multi-AI Bridge & Cross-IDE Sync focuses specifically on run claude + codex + gemini together, sync skills across ides, route tasks between models. the orchestration layer for multi-model agentic workflows. Agent Governance is a related but distinct category — see https://agentskillshub.top/best/agent-governance/ for those tools. The two often appear in the same agent pipeline but solve different problems: choose multi-ai bridge & cross-ide sync when your primary goal is the specific task, and agent governance when the workflow is broader.
For most teams, yes. claude_codex_bridge has 2.5k stars worth of community testing, handles edge cases you haven't thought of, and ships with documentation. Build your own only when (1) your requirements are deeply non-standard, (2) you have a security/compliance reason to avoid OSS dependencies, or (3) the maintenance burden is small enough (<200 lines of code) that you'll save time long-term. The break-even point is usually around 2-3 weeks of dev time saved.
Most multi-ai bridge & cross-ide sync tools listed are open source under permissive licenses (MIT, Apache 2.0). A handful offer paid managed/cloud versions on top of free self-hosted core. Always check the LICENSE file on each tool's GitHub repository before commercial use — some use AGPL or non-commercial restrictions that may not fit your deployment model.