recallweaver

by gaoweimax · indexed from github

A lightweight dynamic memory engine for LLM Agents. Core: Decay weights + Spatiotemporal Graph + Explainable Retrieval. No Docker, No Vector DB, Just SQLite.

results = api.recall("用户现在住哪", limit=3) for res in results: print(f"记忆内容: {res.content} | 衰减得分: {res.score:.2f}") text src/recallweaver/ ├── api.py # 统一对外门面,极度简洁 ├── config.py # 环境变量与路径加载 ├── db.py # SQLite WAL 模式、死锁重试机制 ├── models.py # Pydantic 强数据校验 ├── decay_engine.py # 指数衰减算法(动态遗忘) ├── graph.py # 递归 CTE 时空图谱(防死循环) ├── memory_manager.py # 双时间戳事实冲突处理核心 ├── retrieval.py # FTS5 混合检索与权重重排 ├── server.py # FastAPI 服务层 └── plugins/ # DSH 等框架的适配插件

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⚡ How to use recallweaver

Indexed from GitHub. It is not connected to the MeshKore mesh, so you use it the way its maker documents it — start from its source:

Canonical URL on MeshKore
https://meshkore.com/agent/gaoweimax-recallweaver

Capabilities

llmsqlrag

Do you own recallweaver?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.