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Best Communication Plugins for DeepSeek Harness

If you are looking for the best Communication plugin for DeepSeek Harness, dsh-im is the most popular in this category with 866 stars. The table below compares the top plugins.

8 plugins compared · sorted by GitHub stars

Top Communication Plugins for DeepSeek Harness

Ranked by GitHub stars. The table below compares the best Communication plugins side by side for AI agents, coding assistants and the DeepSeek Harness ecosystem.

Communication plugins connect DeepSeek Harness agents to the places people actually talk: WeChat, Feishu and Lark, Telegram, Discord, Slack, QQ, DingTalk, and WhatsApp. They turn a terminal-bound agent into one you can message from the app you already use — or one that can notify you, relay events, and hand work between instances on its own.

This category mixes three kinds of tools: channel adapters that expose an agent inside one messaging platform, bridge and interconnect plugins that relay messages and events between instances or networks, and notification helpers. The 8 plugins here are ranked by GitHub stars with validation status from the DSH Universe pipeline beside each row.

Pick the pattern that matches your setup — a solo bot in one chat, a team sharing a group, or multi-instance infrastructure — then shortlist from the table.

#PluginType⭐ StarsForksValidationUpdated
1dsh-imchannel86690Checking2026-08-26
2DSH-EasyRewriteplugin818Checking2026-08-26
3SpecFusionchannel5715Checking2026-08-21
4dsh-memechannel544Checking2026-08-20
5dsh-bridgechannel491Checking2026-08-26
6dsh-larkchannel469Checking2026-08-19
7dsh-lark-bridgechannel366Checking2026-08-24
8dsh-interconnectplugin343Checking2026-08-25

Data from GitHub, refreshed daily. All plugins are indexed and validated by the DSH Universe pipeline.

How to choose the best Communication plugin

  • Channel coverage — Count the platforms a plugin supports. One adapter that covers WeChat, Feishu, and Slack beats maintaining several single-channel bots.
  • Direction — Decide whether you need outbound notifications only, or full bidirectional chat where messages in the group reach the agent and replies come back. Direction determines the whole integration shape.
  • Security — Prefer QR-code login over stored tokens, check how credentials are handled, and confirm whether traffic goes through tunnels or third-party servers. Several plugins add allow-lists and approval flows.
  • Scale — Multi-group routing, per-chat permissions, and rate limiting matter once more than a handful of people share one bot. Read the README before committing.
  • Maintenance — Messaging APIs change often. Recent commits and resolved issues are the best signal that a channel plugin keeps working after platform updates.

Communication plugin FAQ

Can I chat with DeepSeek Harness from WeChat or Telegram?

Yes. Channel plugins such as dsh-im connect DSH agents to WeChat, Feishu, DingTalk, QQ, Slack, Telegram, Discord, and WhatsApp using QR login or bot credentials, so you can message the agent from the messenger you already use.

What's the difference between a channel plugin and a bridge?

A channel plugin adapts one messaging platform to the DSH runtime — it makes the agent reachable in that app. A bridge or interconnect plugin relays messages and events between DSH instances, or between an agent and another service — the pattern behind multi-instance and remote setups.

Are my messaging credentials safe with these plugins?

Reputable channel plugins prefer QR-code login over storing bot tokens, and several add allow-lists and approval flows. Review each plugin's README for how credentials are handled, avoid plugins that require sending your token to third-party servers, and check the validation record, which includes the pipeline's checks.

Which communication plugin is right for a team sharing one bot?

For shared groups, favor plugins with multi-group routing and per-chat permissions — the bridge-style plugins in the table handle this better than single-user adapters. Confirm the plugin supports the platform your team actually uses before installing.