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★ 52 スターMIT
ガイドを見る →nocturne_memoryは、Dataojitoriが公開しているオープンソースのAIエージェントプロジェクトです（GitHub: Dataojitori/nocturne_memory）。GitHubスターは1,374、フォークは171で、MITライセンスの下で公開されています。GitHubでの最終更新は2026年9月22日です。
Nocturne_memory, in Python — built for a lightweight, rollbackable, and visual long-ter...
Fetch the source code onto your machine.
Set up the Python environment the project needs.
Copy the sample config or env file and adjust it.
Start the app from the source directory.
Built around agentic ai for a focused workflow.
Built around ai identity for a focused workflow.
Built around ai memory for a focused workflow.
Built around artificial intelligence for a focused workflow.
Inspect, fork, and modify every line of the code.
Run it on your own machine — no account lock-in.
Get the source on your machine.
git clone https://github.com/Dataojitori/nocturne_memory.gitSet up Python dependencies.
cd nocturne_memory && pip install -r requirements.txtLaunch the application.
cd nocturne_memory && python main.pyIt a lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia. Empower your AI with persistent, graph-like structured memory across any model, session, or tool. Drop-in replacement for OpenClaw, giving you a working starting point you can run and adapt.
Yes — the code is open-source, so you can use and modify it without a license fee.
Clone the GitHub repository and follow the README; the typical flow is install dependencies, configure, and run.
It is primarily written in Python, so you will need that toolchain to build or extend it.
The GitHub repository is the hub: open issues for bugs and check the README and discussions for guidance.
VSCode commit messages, generated by Gemini.
Create agents that monitor and act on your behalf. Your agents are standing by!
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Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat…
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LibreAIカタログに掲載されたAIエージェントプロジェクトの中で最もスターの多いもの — nocturne_memoryが合わなかった場合に検討したい、現実的な候補リストです。
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Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
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DeepSeek's plugin-based agent harness where everything is a plugin.
カタログの中でnocturne_memoryとスター数が近いAIエージェントプロジェクト — 前後の棚もそのまま見て回れます。
Orchestrate Claude Code, Kiro, and Codex together in isolated tmux sessions.
Up to 20x faster AI coding with smart model routing and full self-hosting.
Parallel multi-agent research that compiles wikis from any topic.
Shared rooms where humans and cross-vendor AI agents work together.
Governance and orchestration for AI agent fleets: declarative rules, verifiable runs.
Run poco-claw locally: a more beautiful and easier-to-use alternative to openc.