dsh-feishucard
Run the following command in DeepSeek Harness:
dsh plugin install cmfok/dsh-feishucard
Paste the following prompt into your AI chat to install this plugin:
To install this plugin in DeepSeek Harness, obtain it from the GitHub repository at https://github.com/cmfok/dsh-feishucard and run the command 'dsh plugin install cmfok/dsh-feishucard'.
About this plugin
dsh-feishucard solves the core need of seamlessly integrating Feishu (Lark) chatbots into DeepSeek Harness agent sessions. Traditional integrations often require setting up public IPs, domains, or tunnels, which is cumbersome and fragile. This plugin achieves 'instant connectivity' via the official SDK's WebSocket long connection, requiring zero public network exposure. It creates dedicated, persistent sessions for each Feishu chat, ensuring clear and isolated contexts. Its core capability is the innovative streaming reply card, which provides real-time visibility into the agent's work process and tool-call statuses, backed by robust reliability features like rate-limiting, circuit-breaking, and plain-text fallback. It also offers convenient session management commands (e.g., /new, /switch) and proactive messaging tools for natural interactions. This plugin is ideal for developers, teams, and products looking to deploy AI assistants, automate workflows, or enable intelligent conversations directly within Feishu. It particularly benefits those seeking low-ops overhead, high real-time responsiveness, and stable integration, allowing the powerful capabilities of DeepSeek Harness to be embedded directly into daily communication tools to boost collaborative efficiency.
Use Cases
- Converse directly with DeepSeek Harness agents in Feishu chats.
- Automate common queries, tasks, and approval workflows within teams.
- Monitor and interact with agent work processes in real time without leaving Feishu.
Best For
- Developers needing to integrate Feishu with DeepSeek Harness.
- Enterprise users looking to enhance team communication and workflow intelligence.
- Ops teams seeking reliable, low-ops AI assistant deployment solutions.
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