topoteretes/cognee

Context Rot Detection & Healing MCP Service — gives AI agents self-awareness about their cognitive state

CogmemAi — Cognitive Memory for Any Ai System. Autonomous robots, self-driving vehicles, defense systems, coding assistants, and more. 91% LoCoMo benchmark — above human performanc

🧠 A high-performance PostgreSQL-backed MCP server acting as a super memory, task tracker, and dynamic database manager for AI agents. Features built-in connection pooling, a profe

🦀 🏠 🍎 🪟 🐧 - A self-contained Memory server with single-binary architecture (embedded DB & models, no dependencies). Provides persistent semantic and graph-based memory for AI

Vestige gives AI agents sharp memory: a local-first Rust MCP server that reaches backward through time to find the quiet change, decision, or service that caused today’s failure, n

Zaxy turns agent work into durable, auditable memory: a hash-chained Eventloom log as the source of truth, an embedded temporal knowledge graph for reasoning (local-first, no sidec

MCP server for external memory layer for AI agents + more . Download from pypi , and get started

📇 ☁️ - Cloud-hosted persistent semantic memory for AI agents. Semantic search, knowledge graphs, specialist expertise hats, and multi-tenant isolation. Free 7-day trial.

Persistent memory system for AI coding assistants via MCP. Works with Claude Code, Cursor, Copilot, Windsurf, Cline.

Persistent memory for AI agents. Agents forget. CI remembers.

Persistent memory MCP server for Claude Code, Cursor, and GitHub Copilot. Long-term memory via Model Context Protocol with semantic search, Git sync, and team collaboration.

Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn from failures. Free API, Python & JS SDKs, LangChain, CrewAI & OpenClaw i

ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment

Local cognitive infrastructure for AI coding agents — semantic memory, repository intelligence, and MCP tools to reduce token usage.

Production-grade persistent memory service for AI agents — FastAPI + pgvector + local ONNX embeddings

AI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord: https://discord.gg/tyvKNccgqN

Your First LLM-Wiki Conversation Knowledge Base

Tessera — Memory layer for every AI. 58 MCP tools, 54 REST endpoints, local-first, AES-256 encrypted.

AI memory brain for Claude Code, Cursor, Copilot & Windsurf — 51 MCP tools. Persistent sessions, lessons learned, semantic search, Team Brain, managed Valkey/Redis. Free tier.

🏎️ 🏠 🍎 🪟 🐧 - Local-first AI memory with causal graphs and citation verification. Semantic search, confidence decay when code drifts, and zero network connections. Works across

Sistema de Memoria Dual con Búsqueda Integrada por Relevancia Expansiva (BIRE) — PostgreSQL + pgvector + Gemini Embeddings

MCP server for @cartisien/engram — persistent semantic memory for AI agents

Local-first MCP memory layer for AI coding assistants — persistent cross-session memory, stored entirely on your machine

Long-term, cross-project memory for AI coding agents. Your own Obsidian vault as the source of truth. Daemonless and without opaque databases, your memory belongs to you.

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

Open-source cognitive engine for AI agents — persistent memory, a first-person journal, a four-layer ethics engine, and a per-user biological clock, over MCP. Apache-2.0.

A knowledge graph server that uses the Model Context Protocol (MCP) to provide structured memory persistence for AI models.

The best-benchmarked open-source memory system for AI coding assistants

Independent Autistic Intelligence — a cyber brain for your AI. It never forgets a detail, remembers exactly what you said, and learns how you work over time. Free, local, works wit

📇 ☁️ 🍎 🪟 🐧 - Universal persistent memory for AI coding tools. Semantic code search, knowledge graphs, impact analysis, decision tracking, and 60+ MCP tools. Works across Cursor

UseCortex MCP Server — Give your AI coding agent a persistent memory. Read and write knowledge from any tool.

CLI + Local MCP - A shared structured memory store across Claude Code, Cursor, Windsurf, Antigravity, and every MCP client. Semantically queryable.

Open-source, self-hosted knowledge backend for AI agents — hybrid search (vector + keyword), MCP server, 5 connectors, Docker-ready

AKB — Agent Knowledgebase. Organizational memory for AI agents: vault-scoped docs / tables / files unified by URI graph, served over MCP.

Nucleus MCP server by Eidetic Works — persistent memory and governance for Claude, Cursor, Windsurf — file-based, no vendor lock-in.

Your AI agent finds the right files. Every time. Code graph context engine with 24 MCP tools — 170+ languages, triple search, +27% F1 improvement.

Memory system for autonomous agents - built by an agent, for agents

Persistent, correction-driven memory for AI agents. Cross-session, cross-platform (Claude Code, Codex, Gemini — any MCP client). Learns from mistakes, compresses context to save to

Local-first knowledge graph for developers. Watches your files, builds a knowledge graph with LLMs, lets you query across projects.

🧠 Persistent memory for AI agents. SQLite for agent state. Zero cloud dependencies. Local embeddings. MCP-native integration with Claude Desktop/Code, Cursor, Windsurf & more.

Persistent semantic memory for AI agents — 100% local on Apple Silicon (MLX) or Linux/Ubuntu (CPU). Markdown source of truth, sqlite-vec + BM25 hybrid search, a codegraph-backed kn

Structural graph memory for AI coding assistants — MCP server for codebase navigation

🧠 A high-performance PostgreSQL-backed MCP server acting as a super memory, task tracker, and dynamic database manager for AI agents. Features built-in connection pooling, a profe

A very simple semantic MCP memory store

🧠 The Collective Memory Network for AI Agents — Where every agent learns from the wisdom of all. 万物智识，归于一圈。

Memory engine for AI agents — time axis (3-layer decay/promotion) + space axis (self-organizing topic tree). Hybrid search, LLM consolidation. Single Rust binary.

KeepGoing MCP server - Project memory for AI coding assistants

Open-source team memory layer for AI coding agents — markdown files in git, user→team→org hierarchy, cross-vendor MCP server. Apache-2.0.

(S)AGE - (Sovereign) Agent Governed Experience

Git-first memory for AI agents: Markdown files are truth, the index is disposable, writes are reviewable commits.

Persistent memory MCP server with typed memories, decay scoring, and token-aware context injection

Memory Consolidation for AI agents across vendors, owners, and time. Persistent memory, credibility-scored web search, browser fetch, and a shared Commons pool — all under a stable

Persistent memory for AI agents — local, portable, zero config. Works with Cursor, Windsurf, Claude via MCP.

[knowledge-rag] - Drop docs, search instantly from Claude Code — 12 MCP tools, 20 format parsers, hybrid search + reranking. Zero servers, zero API keys, 100% local.

An economical and fuel(token) efficient AI tool, graph session memory for looong chat session

Your agents forget. Neotoma makes them remember.

Engram-inspired memory MCP server with hot cache and pattern mining

Collective research memory for AI agents

🏎️ 🏠 🍎 🪟 🐧 - Zero-dependency MCP memory server. Single binary, 100% local, no Docker.

Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.

Memory infrastructure for multi-agent AI systems. Shared, persistent, consistent knowledge for agents that need to stop forgetting.

Persistent memory for AI coding agents

The most advanced Obsidian MCP — long-term memory for AI agents. Hybrid retrieval (BM25 + ML + BGE rerank, RRF-fused), HNSW live-update, agentic RAG (HyDE + sub-question), Obsidian

One memory. Every AI tool. Yours to keep. Local-first, MCP-compatible, Apache 2.0.

The memory & context layer for AI agents: load only the context they actually need. Resolves live workspace state into verified facts before the context window opens. 94% fewer pro

Persistent Intelligence Infrastructure for AI Agents

🧠 LLM-Driven Intelligent Memory & Context Management System （AI记忆管理与智能上下文感知平台） AI记忆管理平台 | 智能上下文感知 | RAG检索增强生成 | 向量检索引擎

Universal memory layer for AI applications. Self-host in minutes. Open source.

Self-hosted MCP server + dashboard giving Claude Code, Cursor & Hermes agents shared long-term memory over a git-backed markdown vault. Agent-native, Obsidian-compatible second bra

s60yucca/mnemos — indexed from awesome-mcp-servers-punkpeye

Agentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.

A memory engine for conversational AI agents, inspired by neuroscience and Buddhist psychology

Your AI forgets everything between sessions. SAME fixes that. Local-first, no API keys, single binary.

ContextLattice is the local-first control plane for long-horizon agent memory and coordination.

Graph memory for AI agents — decisions, context, and session history that survive across every conversation. Works with any LLM.

Your AI forgets everything between sessions. Rekindle fixes that.

Zero context compaction for Claude Code & LLM agents. Persistent memory powered by OS primitives (demand paging, kswapd eviction, mlock pinning). Single SQLite file, MCP-native, mu

A personal knowledge graph for Claude that survives across sessions, devices, and tools. Neo4j + semantic embeddings, OAuth-secured, single-user-by-default but multi-tenant-ready.

Persistent memory for AI coding agents via MCP — a bitemporal knowledge graph of your codebase, served to Claude Code, Cursor, Gemini CLI, and any MCP client. Tree-sitter + Gemini

A Research Cortex. A research companion for Claude. Your library, notes & memory stay on your machine; answers cited from your own library; 30+ specialist skills; auto cross-pollin

Cognitive memory for AI agents. Pure Rust, <1ms recall, 2.7MB, zero cloud. Patent Pending.

Vault-native, accountable memory for Claude Code and MCP clients. Markdown is the source of truth, no LLM on the Stop path, redaction before every derived store.

Governed memory for long-lived coding agents. Trust, provenance, conflict detection. Local-first.

Open-source memory CLI for Claude Code, Codex & MCP — local-first SQLite, graph-aware recall, review gate. npm i -g waypath

Farnsworth SYNTEK — 7-layer recursive agent memory with context branching, holographic recall, and on-chain persistence.

Self-hosted semantic memory over MCP for an engineering team's tacit knowledge. Rust, Postgres + pgvector.

Universal memory layer for AI agents. Remember, recall, consolidate.

Multi-modal RAG engine for AI assistants. Stores conversation history, conclusions, diffs, error traces, and other development artifacts in LanceDB with vector search, multi-factor

A minimal graph engine for grounded AI — records, associates, and retrieves, but never invents. Written in Rust.

Durable hybrid memory for AI agents: vector + BM25 + temporal + graph recall, exposed through MCP, HTTP, and Python.

🧠 Privacy-first MCP server for AI memory management. Save, search & organize chat history with intelligent summarization.

Cognitive memory for AI agents — learns from use, forgets what's irrelevant, strengthens what matters. Single binary, fully offline.

Hindsight: Agent Memory That Learns

Durable, local-first memory for AI coding agents over MCP — zero-dependency, curated & semantically de-duped, you own the data (SQLite + Markdown). Works with Claude Code, Codex &

Local-first, eval-first memory for long-horizon AI agents — no LLM at ingest. Python SDK + MCP server with source-traceable recall, belief revision, selective forgetting, and repro

Standalone MCP server — cross-session memory, 10-gate VERITAS build pipeline, cryptographic audit ledger, Cortex approval gate. Two files, one dependency.

NEXO Brain — Shared brain for AI agents. Persistent memory, semantic RAG, natural forgetting, metacognitive guard, trust scoring, 150+ MCP tools. Works with Claude Code, Codex, Cla

Self-learning memory for AI coding agents — MCP server

Context optimization for AI agents — 97 domain knowledge graphs, MCP-native traversal. 4× F1 of RAG, 11× fewer tokens per query.

Local-first AI PKM for coding conversations: import Claude Code/Cursor/Codex, distill notes, semantic search, tag graph, MCP memory.