{"repo":"BjornMelin/enhanced-mem-vector-rag","free":true,"listed":false,"github":"https://github.com/BjornMelin/enhanced-mem-vector-rag","clone":"git clone https://github.com/BjornMelin/enhanced-mem-vector-rag.git","description":"Local SQLite memory for LangGraph agents, with provenance, TTL, export, and MCP.","language":"Python","stars":17,"topics":["ai-agents","langgraph","mcp","memory","python","sqlite"],"license":"MIT","category":"ai-agents","readme_excerpt":"Enhanced Memory Enhanced Memory gives agents local, durable memory. It composes LangGraph's native SQLite BaseStore with provenance, strict time-to-live (TTL) reads, deterministic export, and a standard-input/output Model Context Protocol (MCP) server. It doesn't implement document ingestion, generic retrieval-augmented generation (RAG), crawling, agent orchestration, a hosted application programming interface (API), or another vector database. LangGraph owns storage semantics. FastMCP owns protocol behavior. SQLite owns persistence. Install Add the Python library to a project: Install the emvr-mcp command in an isolated environment: PyPI trusted publishing is tracked in issue #11. The Git tag remains the canonical install source until that publisher is verified. For source development: Python API Use MemoryService as the single owner of a local database connection: memory.native is a lifecycle-guarded LangGraph BaseStore , so you can pass it directly to graph.compile(store=...) . Namespaces use non-empty tuples with non-empty labels that contain neither periods nor NUL bytes. The langgraph root is reserved. Namespace listing accepts as a one-segment prefix or suffix wildcard. The native surface supports filters, batch operations, TTL, and optional sqlite-vec indexing. Exact filters preserve JSON types, so booleans, numbers, arrays, and objects don't alias one another. Semantic search is disabled by default. Construct the service with a LangGraph SQLite index configuration an","default_branch":null,"files":null,"tree":[],"storefront":"/r/BjornMelin","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/BjornMelin/enhanced-mem-vector-rag/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}