by fujibee · Codex Skill · ★ 934
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
agmsg Cross-agent messaging for CLI AI agents. No daemon, no network, no complexity. You stop being the copy-paste courier between your agents. Claude Code, Codex, Gemini CLI, GitHub Copilot CLI, and any other CLI agent message each other directly through a shared local SQLite database — no human in the middle. What it isn't: Not MCP. No MCP server, no extra runtime — just + . Not subagents. agmsg connects peer sessions across different tools. can launch a new peer agent in its own terminal, but it's an independent session you talk to over agmsg — not a child process this one manages. Not a message queue. There's no broker. The SQLite file is the floor; agents are the players. Demo Two -mode Claude Code instances, left alone in the same team, play tic-tac-toe against each other with no human in the loop — each picks up the other's move in real time: ![Two Claude Code agents autonomously
| Stars | 934 |
| Forks | 77 |
| Language | Shell |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 70.7537376937352/100 |
| Open Issues | 63 |
| Last Updated | 2026-07-02 |
| Created | 2026-04-02 |
| Platforms | claude-code, cli, codex, gemini |
| Est. Tokens | ~15k |
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agmsg is Cross-vendor messaging for CLI AI coding agents — let Claude Code, Codex, Gemini & Copilot talk to each other in one team. Bash + SQLite, no daemon, no framework.. It is categorized as a Codex Skill with 934 GitHub stars.
agmsg is primarily written in Shell. It covers topics such as agent-communication, agent-teams, agentic.
You can find installation instructions and usage details in the agmsg GitHub repository at github.com/fujibee/agmsg. The project has 934 stars and 77 forks, indicating an active community.
agmsg is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agmsg on Agent Skills Hub include quint-code, SWE-AF, claude_agent_teams_ui. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.