by Open-ACP · Codex Skill · ★ 378
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OpenACP — self-hosted bridge that connects 28+ AI coding agents (Claude Code, Codex, Gemini, Cursor) to Telegram, Discord & Slack. Your machine, your keys, your data. OpenACP Control AI coding agents from Telegram, Discord & Slack Send a message. The agent writes code. You see everything — in real time. Documentation · Quick Start · Features · Agents · Contributing · Discussions What is OpenACP? OpenACP is a self-hosted bridge that connects AI coding agents to your messaging platforms. You chat with an AI agent through Telegram, Discord, or Slack — it reads your codebase, writes code, runs commands, and streams results back to you in real time. Built on the open [A
| Stars | 378 |
| Forks | 44 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 70.3977273855835/100 |
| Open Issues | 5 |
| Last Updated | 2026-05-18 |
| Created | 2026-03-19 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~551k |
These tools work well together with OpenACP for enhanced workflows:
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OpenACP is 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).. It is categorized as a Codex Skill with 378 GitHub stars.
OpenACP is primarily written in TypeScript. It covers topics such as acp, agent-client-protocol, ai-agent.
You can find installation instructions and usage details in the OpenACP GitHub repository at github.com/Open-ACP/OpenACP. The project has 378 stars and 44 forks, indicating an active community.
OpenACP is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to OpenACP on Agent Skills Hub include claude-code-open, OpenSwarm, claw-orchestrator. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: