Keshavsharma-code

Keshavsharma-code / DeepSleep-beta

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An autonomous coding agent that dreams (optimizes) while you sleep. 100% Local. 100% Free.

19
6
100% credibility
Found Apr 07, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

DeepSleep is an open-source terminal tool that monitors file changes in a codebase, generates AI-powered summaries during idle periods using local models, and offers a chat interface to query project context and memory.

How It Works

1
👀 Discover DeepSleep

You hear about DeepSleep, a helpful buddy that watches your coding project and remembers what you're working on while you're away.

2
📥 Bring it home

You easily add DeepSleep to your project folder so it can start learning about your work.

3
🧠 Set up the memory brain

You tell DeepSleep to create a little memory spot in your project, like giving it a notebook to jot down notes.

4
💭 Let it dream

You start the watcher, and DeepSleep quietly observes your changes, dreaming up summaries when you take a break.

5
💬 Chat with your buddy

Whenever you need help, you open a chat and ask things like 'What was I doing?' or 'Help me with this file.'

6
✨ Get instant insights

DeepSleep shares smart summaries of your recent work, recent files, and helpful next steps right in the chat.

🎉 Stay on track forever

Now your project has a brain that keeps everything fresh, so you never forget where you left off and always pick up smoothly.

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Star Growth

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AI-Generated Review

What is DeepSleep-beta?

DeepSleep-beta is a Python-based autonomous coding agent that runs 100% locally on your machine, using Ollama for free LLM inference. It watches your project files in the background, "dreams" by summarizing recent changes after idle periods, and lets you chat via simple terminal commands like `ds` for queries or `ds dream` for on-demand updates. Solves the classic dev problem of losing context after coffee breaks or context switches, giving you a compact memory of your session without cloud dependencies.

Why is it gaining traction?

Stands out as a zero-cost alternative to hosted agents like GitHub Copilot or Cursor, with gitignore-aware file watching, optional AES-256 encryption, and a 3-layer memory that stays under 2KB for speed. Developers hook on the terminal-native UI with path autocompletion and offline fallbacks—no vendor lock-in or token burn. It's positioned as a lightweight, autonomous GitHub coding agent for idle-time optimization.

Who should use this?

Solo backend devs maintaining sprawling monorepos, open-source contributors jumping between PRs, or local AI tinkerers building autonomous coding workflows without API bills. Ideal for Python shops already running Ollama, especially those exploring github autonomous agents for research or personal projects.

Verdict

Promising alpha-stage tool (19 stars, 1.0% credibility score) with solid PyPI packaging, CI, and docs—worth a spin for local agent experiments, but wait for more battle-testing before production. Install via `pip install deepsleep-ai` and `ds init` to test in a side project.

(178 words)

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