Memv – Memory for AI Agents
Predict-calibrate extraction reduces noise, but Zep and Mem0 already dominate the agent memory space.
memweave is a zero-infrastructure, async-first Python library that gives AI agents persistent, searchable memory — stored as plain Markdown files
Agent memory as git-diffable Markdown files beats opaque vector databases.
AI agent developers, Python engineers building LLM applications
LangChain Memory · Chroma · LlamaIndex
Predict-calibrate extraction reduces noise, but Zep and Mem0 already dominate the agent memory space.
SQLite-backed MCP server gives local agents shared memory without vector DB overhead.
Three-method API for agent memory, but semantic memory systems aren't novel anymore.
5-level memory hierarchy for AI agents, but MCP ecosystem is early and adoption unclear.
Cross-project memory for AI agents when single-project solutions already exist.
Hierarchical memory that persists across Claude Code, Cursor, and Windsurf—solve context amnesia.