Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.
Self-hosted AI agent memory server with MCP, evidence provenance, typed claims, conflict detection, embeddings, recall, PostgreSQL, and pgvector
An agentic memory database that cuts session tokens by 82–99%. One portable SQLite file — your agent's memory, anywhere.
Open-source MCP knowledge mesh - self-host your second brain, expose it to AI agents, federate with peers.
蒸留蔵 — distilled long-term memory for agents: recall by meaning, writing gated by evidence, one kura per agent mode. Ships as a DeepSeek Harness plugin and an MCP server.
A selective learning and memory substrate for agentic systems — typed, revisable, decayable memory with competence learning and trust-aware retrieval.
Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.
Turn scattered knowledge, operational data, and history into source-linked context that your agents can inspect, explain, and reuse.
Memory service, SDK, CLI, and plugins for agent recall and writeback.
Durable, searchable memory of your past agent sessions.
Lightweight Long-Term Memory for LLM Agents.
Prismer Cloud
Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning
memX: self-learning, self-maintaining memory plugin for AI agents; native support for claude code, codex, and openclaw
SRA-Bench and SR-Agents: a benchmark and toolkit for skill-retrieval-augmented LLM agents.
Universal memory runtime for AI agents
Agentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.
Poirot is a deep research agent kernel built for those who care about how agents are architected.
Every past session, subagent, and workflow -- queryable by your agent, browsable by you
Your First LLM-Wiki Conversation Knowledge Base
Shared Memory Storage for Multi-Agent Systems
Notes for you, Memory for your agents. / 内置 Deepseek harness Agent / 适用 办公 & 写作 & Coding
Shared context, memory, and task coordination across AI coding agents. Single Go binary, local SQLite, hybrid keyword and semantic search.
A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.