hunter-shen-ai

hunter-shen-ai / deepagents_bot

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一个基于 DeepAgentsJS 的智能助手，参考了OpenClaw的设计理念。具有自主记忆和SKILLS编写/执行能力。

61
2
100% credibility
Found Feb 07, 2026 at 14 stars 4x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

DeepAgents Bot is a smart assistant for system operations that remembers conversations, runs safe commands, and works in chat or team messaging apps.

How It Works

1
🔍 Discover SRE Helper

You hear about a smart assistant that helps with system tasks like checking servers and fixing issues.

2
📥 Get It Ready

Download the helper and connect a thinking service like ChatGPT so it can understand your questions.

3
🚀 Start Chatting

Open a chat window and ask your first question, like 'check what's running on my computer' – it responds right away!

4
🧠 Build Memory

Tell it to remember important facts about your work, and it saves them for later chats.

5
🛠️ Run Safe Tasks

Ask it to run helpful commands like listing files, with safety checks to keep things secure.

6
📱 Chat Anywhere

Switch to team chat apps for group help, or keep using your personal chat.

🎉 Supercharged Work

Your daily system checks and fixes now happen faster with a reliable, remembering helper by your side.

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AI-Generated Review

What is deepagents_bot?

deepagents_bot is a TypeScript bot powered by DeepAgentsJS that turns LLMs into autonomous assistants for chat platforms like DingTalk. It handles conversations with persistent memory stored in PostgreSQL (including vector embeddings for hybrid search), executes custom skills from a workspace, and runs scheduled cron jobs. Developers get a ready-to-deploy SRE helper that remembers context, compacts history to avoid token limits, and integrates tools like safe shell execution with policy checks.

Why is it gaining traction?

Unlike basic chatbots, deepagents_bot combines DeepAgentsJS's agentic workflows with production features like Docker Compose, Kubernetes manifests, and DingTalk stream mode—no public IP needed. The hook is its SRE focus: exec tools with risk-based approvals, subagents for skill writing, and MCP server integration for extensible tooling. At 54 stars, it's niche but appeals to ops teams wanting agent smarts without rebuilding from scratch.

Who should use this?

DevOps engineers managing DingTalk groups for incident response and automation. SREs needing a bot that queries memory, runs kubectl/ls commands safely, and archives daily insights. TypeScript teams prototyping DeepAgentsJS bots before scaling to custom platforms.

Verdict

Grab it if you're building DingTalk bots—strong out-of-box deployment and memory features make it practical for SRE workflows. With just 54 stars and 1.0% credibility, treat it as alpha: solid Docker setup but verify stability in prod.

(198 words)

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