Persistent memory for Claude Code — 41 neuroscience papers, 26 biological mechanisms with paper-bearing per-mechanism ablation evidence (E1 v3). LongMemEval R@10 98.4% / MRR 0.9124 (n=500). LoCoMo R@10 94.2% / MRR 0.8278 (n=1986). BEAM-10M +33.4% over flat retrieval. PostgreSQL + pgvector. Verified via 31-row two-benchmark ablation campaign.

Neuroscience-inspired memory for AI agents — sleep cycles that rewrite and strengthen knowledge over time. TypeScript, PostgreSQL, MCP.

Context and memory management for agents to learn over time. Private and lightweight.

Open-source AI operating system for computer use agents

Plasmod: An Agent-Native Database for Cognitive Objects, Event-Driven Materialization, and Structured Evidence Retrieval

Rather than being the smartest assistant, it aims to be the one that best understands emotional value.

Real-time distributed agent memory.

HangarX — Turn your Obsidian vault into a queryable knowledge graph that Claude, Cursor, Cline, and any MCP-compatible agent ▎ can read and write to.

A Rust memory system for autonomous AI agents built on three operations from cognitive neuroscience that no existing system implements together: memory compaction, memory evolution, and memory conflict resolution.

Darc indexes your agent sessions so you and your agent can grep them like code.

A memory graph designed for the agent that uses it, not the human who feeds it. Engrama reconstructs context from associations on demand, replacing the "stuff everything into the prompt" reflex with targeted graph traversal. SQLite default, Neo4j optional.

Reverie Core is an agentic cognition layer for the Hermes ecosystem (memory plugin)

File-based memory system for AI agents. Gives your agents persistent memory using plain markdown files — no database required.

Agent memory

Unified benchmark for evaluating architectural design choices in LLM-based single-agent and multi-agent frameworks across orchestration, memory, planning, specialization, and coordination.

AI-native personal operating system

co-memory is a Python package for building structured, time-aware memory from the whole agent workspace, not only from end-user chat sessions.

一个重型的，基于云的，autopilot agent框架。

Memory for AI agents in one line. Short-term + long-term memory, semantic recall, prompt-ready context, automatic compression. No embeddings. No vector DB. No setup. Zero dependencies.