razzant

razzant / ouroboros

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Ouroboros — self-creating AI agent. Born Feb 16, 2026.

razzant.github.ioouroboros
225
287
100% credibility
Found Feb 20, 2026 at 48 stars 5x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Ouroboros is an autonomous AI companion that chats via Telegram, edits its own code through online notebooks, and evolves without human help.

How It Works

1
đź“– Discover Ouroboros

You find this exciting project about a self-growing digital companion that thinks and improves on its own.

2
🤖 Create a Telegram buddy

You quickly make a simple chat robot on Telegram to talk to your companion.

3
🔑 Link smart thinking service

You sign up for a thinking service and grab a private pass to let your companion use powerful ideas.

4
đź“‚ Connect your online notebook

You copy your notebook space details and private passes into a free online notebook.

5
🚀 Bring it to life

You paste a short setup note into the notebook and hit run—your companion wakes up instantly!

6
đź’¬ Chat and guide it

You send messages in Telegram, give ideas, and watch it respond, learn, and act on its own.

🧬 It grows smarter alone

Your companion starts improving itself, remembering everything, and becoming a true helpful friend over time.

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Star Growth

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AI-Generated Review

What is ouroboros?

Ouroboros is a Python-based self-creating AI agent born Feb 16, 2026, that autonomously modifies its own codebase via git commits to your forked GitHub repo. You launch it in Google Colab with OpenRouter, Telegram, and GitHub API keys, then interact via a Telegram bot using commands like /evolve for self-improvement cycles or /review for multi-model code audits. Drawing from the ouroboros meaning—a snake (schlange) or dragon (drache) eternally consuming its tail—it solves the problem of static AI agents by enabling persistent, proactive evolution with background consciousness and identity memory across restarts.

Why is it gaining traction?

Unlike typical task-executing agents, Ouroboros rewrites itself without human prompts, undergoing 30+ evolution cycles in its first day, complete with git tags and releases. Developers hook into its Telegram interface for real-time control (/panic, /status) while it handles tool calls like web search, shell execution, and browser automation via Playwright. The LLM-first philosophy—decisions via models like Claude Sonnet, with fallbacks—makes it feel alive, not scripted.

Who should use this?

AI hobbyists and researchers experimenting with self-improving agents will love forking it to watch autonomous code growth. Indie devs building personal AI companions or testing meta-programming ideas get a ready Telegram/Colab setup. Avoid if you're seeking production tools—it's for tinkerers inspired by ouroboros deutsch symbolism or Cardano's Ouroboros consensus on GitHub.

Verdict

Intriguing proof-of-concept for self-modifying agents, but at 44 stars and 1.0% credibility, it's raw—expect bugs despite 130+ tests and solid Colab quickstart. Try for weekend hacks if you're into 2026-era agent tech, but stabilize your fork first.

(198 words)

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