aspasskiy

aspasskiy / GoGogot

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Lightweight self-hosted AI agent. Open-source OpenClaw alternative in Go.

94
0
100% credibility
Found Mar 02, 2026 at 94 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Go
AI Summary

GoGogot is a self-hosted AI agent that communicates via Telegram to execute shell commands, manage files and memory, browse the web, and schedule tasks using language models.

How It Works

1
๐Ÿ” Discover GoGogot

You find this handy personal AI helper on GitHub that runs on your own server and chats with you on Telegram.

2
๐Ÿ’ป Set it up

Download it to your computer or server and prepare a simple settings file with your chat details.

3
๐Ÿ”— Connect services

Link your Telegram chat and pick a smart AI brain so it can understand and respond.

4
๐Ÿš€ Launch your assistant

Start it with one easy action and watch it come alive on your server.

5
๐Ÿ’ฌ Give it tasks

Message it on Telegram to run commands, check files, search the web, remember notes, or set reminders.

โœ… Smart helper at work

Your personal assistant now handles server chores autonomously, saving you time every day.

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Star Growth

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AI-Generated Review

What is GoGogot?

GoGogot is a lightweight self-hosted AI agent that runs on your server as a single 15 MB Go binary, chatting via Telegram to execute bash commands, edit files, browse the web, manage persistent memory, and handle cron-scheduled tasks. Powered by Claude or cheap MiniMax models through API keys, it deploys in seconds with docker compose up on any Linux box, idling at 10 MB RAMโ€”no cloud, no telemetry. It's built for developers wanting a personal agent without SaaS lock-in or heavy runtimes.

Why is it gaining traction?

Unlike bloated OpenClaw (430k LOC TypeScript) or Python alternatives like Nanobot, GoGogot crushes on footprint: 7 deps, no memory leaks, runs on $4 VPS. Telegram integration with typing indicators, file sends, and multi-chat support feels snappy, while tools like web search, scheduling, and self-learning skills make it production-ready out of the box. Devs dig the explicit env var config and extensibility via simple interfaces for new LLMs or transports.

Who should use this?

DevOps folks automating server maintenance via Telegram commands, indie hackers building lightweight self hosted LLM agents for daily digests or deployments, or self-hosters replacing clunky scripts with an agent that remembers state across sessions. Ideal if you're tired of SaaS costs and want a lightweight self hosted git server companion or lightweight self hosted CI/CD trigger.

Verdict

Grab it if you need a no-fuss self-hosted agentโ€”docs are solid, deploy is trivial, and MiniMax keeps costs under $0.03/session. At 94 stars and 1.0% credibility, it's early but stable for prod; watch for community transports like Discord.

(198 words)

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