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memweave is a zero-infrastructure, async-first Python library that gives AI agents persistent, searchable memory — stored as plain Markdown files

44 starsPython

Memweave CLI – search your AI agent's memory from the shell

by r2d2_·Apr 25, 2026·6 points·0 comments

AI Analysis

●●●BangerBig BrainCozyZero to One

Agent memory as git-diffable Markdown files beats opaque vector databases.

Strengths
  • Plain Markdown storage means you can inspect, edit, and version-control agent memories directly.
  • Hybrid BM25 + semantic search via sqlite-vec with no external vector database required.
  • Embeddings cached by content hash — compute once, reuse forever, works offline.
Weaknesses
  • SQLite may not scale for high-throughput production agent deployments.
  • Python-only limits adoption for agents built in other languages.
Category
Target Audience

AI agent developers, Python engineers building LLM applications

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LangChain Memory · Chroma · LlamaIndex

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