A few months ago I won a LangGraph hackathon in London with an agent memory and personal wiki system. The awkward part was that I never really wanted to run the thing afterward. It needed a server, two databases, embeddings and a fairly heavy extraction pipeline. Great demo, bad daily tool. So I spent the last few days rebuilding it as Synapse. You give it a ChatGPT export or a folder of messy text and it makes a local Markdown archive plus a fast SQLite search index. No API key is needed for ingest or search. If you connect an OpenAI-compatible model, it can also turn the raw history into linked wiki pages and a knowledge graph. It works with agents through MCP, but the data stays normal Markdown. The Python package has zero runtime dependencies and the dashboard is one HTML file. I teste

  • 情报分类：项目价值、技术价值
  • 命中依据：可运行的agent记忆系统开源项目
  • 来源：Reddit · SideProject
  • 原作者：/u/BoringCelebration405 https://www.reddit.com/user/BoringCelebration405
  • 发布时间：2026/9/9 19:07:51