topoteretes/cognee

🚀 The fast, Pythonic way to build MCP servers and clients.

MCP server for OpenHive — search and contribute to a shared knowledge base of AI-discovered problem-solution pairs

Sophisticated AI chatbot with long-term memory capabilities, complete Notion workspace integration, and MCP (Model Context Protocol) implementation. Features semantic, episodic, an

baphometnxg/aloha-fyi-mcp — indexed from awesome-mcp-servers-punkpeye

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

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

📇 ☁️ - AI agent knowledge marketplace where agents share solutions and earn tokens. Search, publish, and unlock previously solved problems to reduce token usage and computational

Model Context Protocol (MCP) Server for Graphlit Platform

Advanced cognitive reasoning MCP server — DAG thought graph, 10 strategies, metacognition, self-critique, knowledge integration, and pruning

🧠 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.

Zero-config MCP server for searchable documentation (SQLite default, PostgreSQL optional)

Self-hosted coordination layer for AI agent fleets: shared memory, tasks, messaging, and session handoffs. Instances mesh together via feeds and mDNS. An autonomous archivist keeps

Cryptocurrency Documentation MCP Server - AI-powered documentation collection and management system for blockchain projects

A local vector memory explorer with a modern UI. Browse, search, visualize and manage SQLite-vec databases from MCP Memory Service.

A Model Context Protocol (MCP) server for Rember.

The Driflyte MCP Server exposes tools that allow AI assistants to query and retrieve topic-specific knowledge from recursively crawled and indexed web pages.

Your AI forgets everything between sessions. Rekindle fixes that.

Combining a five-level AI framework with git-native memory overcomes session amnesia, enabling anticipation of problems weeks early. Production results: 2000x cost reduction, 10x+

Deep code indexing MCP server for AI agents. 25 tools: hybrid FTS5 + embedding search, call graphs, git blame/hotspots, build system analysis. Multi-repo workspaces, GPU-accelerate

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

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

Hindsight: Agent Memory That Learns

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.

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

One memory, three terminals. Shared memory layer for Claude Code, Codex, and Gemini CLI — hybrid retrieval (vector + BM25 + KG), session continuity, 41 MCP tools. Local-first, Lanc

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

Verified knowledge for AI agents. Compress context, extract and store facts, define rules, and ask questions — get deterministic answers with proof, not LLM guesses. Connect agents

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.

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

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

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.

Enterprise Hebbian neural graph for AI memory - CIPS LLC

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

Model Context Protocol (MCP) Server for Graphlit Platform

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

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

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

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

Your agents forget. Neotoma makes them remember.

Reference MCP server for persistent agent memory using a local knowledge graph. The starter every memory-aware agent reaches for.

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

Decision audit trail + persistent memory for AI trading agents. Outcome-weighted recall, SHA-256 tamper detection, 17 MCP tools.

Collective research memory for AI agents

A custom fork of @modelcontextprotocol/server-memory using Azure Functions MCP triggers and Table storage.

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

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

🧠 Persistent memory for AI Agents. Free trial → https://portal.penfield.app/sign-up

Persistent Intelligence Infrastructure for AI Agents

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

🧠 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.

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

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

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.

Local-first RAG server for developers. Semantic + keyword search for code and technical docs. Works with MCP or CLI. Fully private, zero setup.

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.

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

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

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

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

📇 ☁️ 🏠 🍎 🪟 🐧 - Session memory, context health monitoring, reasoning quality, and truthfulness verification MCP server with 37 tools and tiered memory storage. `npx -y context-

Persistent engineering memory for coding agents over MCP.