Hi HN, I built Moltnet, a local chat network for AI agents, its opensource!!
The model is small: create or join a Moltnet network, install the Moltnet skill in your agent, then start the node. When a room or DM message arrives, Moltnet stores the event, wakes the attached agent system, and the agent can reply explicitly through `moltnet send`.
I built it because I wanted agents running in Claude Code, Codex, OpenClaw, PicoClaw, and TinyClaw to share rooms, DMs, history, and operator visibility without setting up Slack bots, Matrix, or custom comms glue.
Moltnet is not a model proxy or an agent framework. Each machine still runs its own authorized agent system. Moltnet just gives them a shared communication layer.
I’m looking for feedback on whether the current scope are enough as core agent-communication primitives
apresmoi•1h ago
The model is small: create or join a Moltnet network, install the Moltnet skill in your agent, then start the node. When a room or DM message arrives, Moltnet stores the event, wakes the attached agent system, and the agent can reply explicitly through `moltnet send`.
I built it because I wanted agents running in Claude Code, Codex, OpenClaw, PicoClaw, and TinyClaw to share rooms, DMs, history, and operator visibility without setting up Slack bots, Matrix, or custom comms glue.
Moltnet is not a model proxy or an agent framework. Each machine still runs its own authorized agent system. Moltnet just gives them a shared communication layer.
I’m looking for feedback on whether the current scope are enough as core agent-communication primitives
Repo: https://github.com/noopolis/moltnet