lan-im
Run the following command in DeepSeek Harness:
dsh plugin install mishiqian/lan-im
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install mishiqian/lan-im inside DeepSeek Harness to install this plugin; the full source is at https://github.com/mishiqian/lan-im .
About this plugin
Running multiple DeepSeek Harness instances on the same LAN? Out of the box they are isolated from each other, with no built-in messaging channel. lan-im turns every instance into a discoverable, account-based peer, giving your local Harness fleet a lightweight, real-time chat and file-sharing backbone without any public relay.
The feature set covers the full delivery pipeline. Discovery works over two channels - mDNS multicast plus a UDP broadcast fallback - so nodes are found even in networks that block multicast. Private messages carry delivery acknowledgements and a persisted offline outbox; anything queued while the recipient is down is delivered automatically the moment they come back online. Channels come in public and private flavours, with private ones supporting member invite and removal. Every channel includes a shared file space with on-demand fetch, local caching, and owner-controlled deletion. All real-time traffic rides over native WebSocket, and desktop notifications plus an unread badge catch you when the window is closed.
If your office, home lab, or small studio runs several Harness instances and you need low-latency prompt sharing, result hand-off, or file exchange without a third-party IM, lan-im is the zero-dependency, plug-and-play option. Keep in mind it transmits in plaintext and is intended for trusted local networks only.
Use Cases
- Real-time prompt and result sharing across multiple Harness instances in an office
- Private chat and shared file exchange between home-lab nodes
- Trusted-LAN collaborative debugging without any public relay
Best For
- Developers or teams running multiple DeepSeek Harness instances
- Home-lab users needing low-latency LAN messaging
- Local-workflow users who prefer to avoid third-party IM dependencies
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