Agentic Memory Python Packages

logosdb

LogosDB is a fast semantic vector database for RAG written in C/C++ that provides approximate nearest-neighbor search over embedding vectors with associated text metadata.

m3-memory

Local-first Agentic Memory Layer Framework for MCP Agents and Multiple Computers • Over 60 tools • Hybrid search (FTS5 + vector + MMR) • GDPR • 100% local) • FIPS 140-3 ready

zettelforge

Agentic memory for CTI in Python — STIX knowledge graphs, threat-actor alias resolution, offline-first RAG, MCP server for Claude Code and LangChain agents

cortexadb

It is a simple, fast, and hard-durable embedded database designed specifically for AI agent memory. It provides a single-file-like experience (no server required) but with native support for vectors, graphs, and temporal search.

elume

Open-source agentic memory engine for long-horizon adaptive learning. Integrates LinOSS oscillatory state-space models, attractor-based associative memory, and MemEvolve-style adaptive memory mechanisms into a single deterministic kernel.

memweave

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

recollectx

Belief-centric memory layer for agentic AI systems

neural-ledger

Neural Ledger: a lightweight memory engine for agents and software that help systems remember useful things, recall what matters, and learn from feedback.

langgraph-kusto

LangGraph integration with Kusto as the persistent memory layer