LodeDB adds fast local memory for coding agents

LodeDB is an embedded, on-disk vector database for local retrieval augmented generation and agent memory. It installs with `pip install lodedb` and keeps data fully local. It can replace the default vector store in LangChain, LlamaIndex, and mem0, and it also supports LlamaIndex PropertyGraphStore.

On a 17,500-document collection, its on-disk size was 4 to 7 times smaller than the in-memory defaults, and median query latency was under 1 millisecond on a CPU. Its MCP server can be installed with one command for Claude Code, Cursor, LM Studio, Codex, and Claude Desktop. Search returns the stored text together with score, ID, and metadata, so the model can rank and answer in one step instead of doing another lookup.

Built-in hybrid search combines BM25 keyword search with vector search, then merges results with RRF, helping exact strings like error codes, serial numbers, and dates appear alongside meaning-based matches. WAL is the default commit mode, and durable adds are described as taking less than 1 millisecond, so writes are designed not to block the workflow for long.