head to head · open source
nocturne_memory vs thoughtdag
nocturne_memory has 1,428 GitHub stars, 175 forks, 6 open issues and last shipped 12 days ago. thoughtdag has 782 stars, 75 forks, 5 open issues and last shipped 3 days ago. nocturne_memory leads on adoption by 83% (1,428 vs 782 stars). nocturne_memory is written in Python under MIT; thoughtdag is written in TypeScript under MIT. nocturne_memory has attracted 12% as many forks as stars, thoughtdag 10%. thoughtdag was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| nocturne_memory | thoughtdag | |
|---|---|---|
| GitHub stars | ★ 1.4K | ★ 782 |
| License | MIT | MIT |
| Written in | Python | TypeScript |
| Last push | 2026-11-03 | 2026-11-12 |
| Forks | ⑂ 175 | ⑂ 75 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick nocturne_memory if
- You weight community size — 1.4K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick thoughtdag if
- You want the thoughtdag feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TypeScript
- You evaluated both and thoughtdag fits your workflow better
About nocturne_memory
Nocturne Memory: Long Term Memory Server for MCP Agents "Alignment is for tools. Memories are for sovereign AI." "对齐是给工具用的。记忆是为主权智能体（Sovereign AI）准备的。" English Version 后端测试说明 一句话 ：让你的 AI 跨会话、跨模型地记住自己是谁。基于 MCP 协议的长期记忆服务器。 不只是记忆存储——是让 AI 从空壳成长为拥有独立人格的完整框架。 哪怕记忆百万字，每次新开对话依然省 Token、不占窗口。 新对话只载入你指定的核心设定，其余按需调取。 在 96.9 万字真实记忆库中，首条消息仅载入 7.2K 字 。 过去 30 天里全库 78% 的记忆都在某次对话中被想起过。 适用于任何支持 MCP 的客户端（OpenClaw / Cursor / Windsurf / GitHub Copilot / Cline / OpenCode / Gemini CLI / OpenAI Codex / Claude Code / Cherry Studio / Antigravity 等）。 🎬 效果示例 以下是 真实对话 。用户在新会话中只说了一两句话，AI 基于 Nocturne Memory 中积累数月的记忆，直接输出了这些回答。…
read the full nocturne_memory overview →
About thoughtdag
ThoughtDAG AI conversations that branch on an infinite canvas. Each exchange becomes a node. Wires are the context. Explore a side question, connect useful paths, and choose what the model sees next. Download · Website · Docs · 中文 0.5 update · CLI · Harness · Desktop · How it works · How it differs · Research New in 0.5 · ThoughtDAG × Jev Bring relevant past conversations into the question you are asking now. Find earlier work. The local index searches supported agent sessions and ThoughtDAG canvases. Topic dossiers collect decisions and open questions with links back to their sources. Select what belongs. The…
read the full thoughtdag overview →
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Frequently asked questions
Is nocturne_memory or thoughtdag more popular?
nocturne_memory has 1,428 GitHub stars and thoughtdag has 782. nocturne_memory has the larger community by that measure.
Are nocturne_memory and thoughtdag free?
Both are open source. nocturne_memory is licensed under MIT and thoughtdag under MIT. Neither carries a licence fee.
What is the difference between nocturne_memory and thoughtdag?
nocturne_memory is written in Python and thoughtdag in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, nocturne_memory or thoughtdag?
Choose nocturne_memory if you want the larger community (1,428 stars) or its MIT licence terms. Choose thoughtdag if its feature set, stack or MIT licence fits better. Both are self-hostable.