memory
Official MCP reference server (memory); see repo README.
67 servers. Ranked by: not stale, MCP-first project, verified install, then stars.
Official MCP reference server (memory); see repo README.
Official MCP reference server (sequentialthinking); see repo README.
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platforms via MCP + hooks.
Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.
x64dbg-MCP Server is a native MCP (Model Context Protocol) plugin for x64dbg that exposes the debugger's full functionality over HTTP. Connect any MCP-compatible AI assistant and control x64dbg programmatically: set breakpoints, step through code, read memory, dump registers, and more. Built with Zig — zero dependencies, single-binary output, cros
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.
Dive is an open-source MCP Host Desktop Application that seamlessly integrates with any LLMs supporting function calling capabilities. ✨
Connect your favorite AI agents directly to Cheat Engine via MCP. Automate reverse engineering, pointer scanning, and memory analysis using natural language.
Arkon: Enterprise AI Knowledge Hub & MCP Server. Self-hosted knowledge base for teams to manage RAG contexts, access policies, and AI skills. Connect Claude and other LLMs via Model Context Protocol (MCP) for automated, secure organizational knowledge integration.
A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia. Empower your AI with persistent, graph-like structured memory across any model, session, or tool. Drop-in replacement for OpenClaw.
AgentChat 是一个基于 LLM 的智能体交流平台,内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作,Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术,实现高效的知识检索与工具调用,使用 FastAPI 构建高性能后端服务。
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 with Cursor, Claude Code, Codex, OpenClaw, Hermes and more. MIT.
Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes while adding intelligent features like schemas, managed embeddings, reranking+llm, GPU accel, Auto-TLP, Policy-based Memory Decay, and MCP server.
Harness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved preferences.
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.
Stop re-teaching your agent. Make your agent's memory work like a brain. Hippo is long-term memory for coding agents. It's a critical layer for your AI harness that connects across your different tools (Cursor, Claude Code, Codex). It keeps your proprietary data completely local, and it actually learns over time.
Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.
Persistent project knowledge graph for coding agents. MCP server with semantic search, in-process embeddings, and web explorer.
The local-first LLM Wiki: open-source knowledge graph builder, RAG knowledge base, and agent memory store. Built on Andrej Karpathy's pattern. An Obsidian alternative for personal knowledge management, AI second brain, and durable Claude Code / Codex / OpenClaw memory.
Open-source self-hosted AI agent runtime and multi-agent framework for autonomous agent swarms. Agent memory, MCP tools, schedules, delegation, and 23+ LLM providers (Claude, GPT, Gemini, OpenRouter, Ollama). A practical Claude Code and LangChain alternative.
Local-first, self-hosted AI agent runtime and MCP bridge with sandboxed sessions, memory, credentials, audit/replay, and a local Console.
Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server
The fastest developer workflow for every AI coding agent. Live status, quick prompts, worktrees, and diff review from one tmux TUI.
Encrypted, fully offline agentic memory. One click install, GUI w/ memory map, all OS and agents. Superior memory creation, storage and retrieval.
Governance standard and reference toolset for LLM-maintained knowledge corpora
One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.
Measure token savings per AI coding agent, optimize context, and share a live local knowledge graph across 16 CLI clients.
Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.
Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java26. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.
Your First LLM-Wiki Conversation Knowledge Base
Self-hosted 24/7 personal AI agent that runs on your own machine — memory, schedules, tools and credentials stay local. Single Go binary with MCP.
Local-first RAG server for developers. Semantic + keyword search for code and technical docs. Works with MCP or CLI. Fully private, zero setup.
Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus.
MCP server that provides LLMs with tools for interacting with EVM networks
Correction-first persistent memory for AI agents. MCP server + SDK + CLI. Compounds across sessions.
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
An autonomous agent that conducts deep research on any data using any LLM providers
run any ai model. compose agents, stack knowledge, connect tools. one api, pay per run.
Your product team's shared strategic memory — an MCP server your AI tools reason over.
AI memory layer — one shared, persistent memory across every AI tool you connect.
Protein analysis: ESM-2/ESMC embeddings, mutation scoring, landscape scans, ESMFold structure.
A searchable knowledge base your assistant reads and writes.
Game sound effects from a text prompt: game-ready WAVs with seamless loops and variations.
Deterministic runtime safety for AI agents: scan PII, gate tool actions, verify LLM output.
Recognition-first cross-agent memory federation. One shared memory across all your agents.
The knowledge base your AI reads and writes, under your rules — over MCP, EU-hosted.
Persistent memory for AI agents: one brain shared across Claude, Cursor, Codex and more.
Persistent memory for AI assistants. Save once; recall from Claude, ChatGPT, or any MCP client.
Build and manage Chipp AI apps: prompts, knowledge, custom actions, and chat with your apps.
Citepath public MCP server for LLM readiness audits and public scan results.
Shared AI memory. ChatGPT, Claude, Cursor and any MCP app read and write the same memory.
Persistent memory for AI agents: keyed facts, a wake bundle each session, one memory in every model.
Release management and QA for custom AI assistants: RAG, releases, scored QA, signed TrustBench runs
Privacy-first work tracking with summaries, reports, coaching, and AI-ready long-term memory.
A Model Context Protocol (MCP) server implementation for remote memory bank management, inspired by Cline Memory Bank.
A code repository indexing tool to supercharge your LLM experience.
LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
MCP server for enabling LLM applications to perform deep research via the MCP protocol
🔥 Java enterprise application development framework for full scenario: Restrained, Efficient, Open, Ecologicalll!!! 700% higher concurrency 50% memory savings Startup is 10 times faster. Packing 90% smaller; Compatible with java8 ~ java26; Supports LTS. (Replaceable spring)
The knowledge compiler. Raw sources in, interlinked wiki out. Inspired by Karpathy's LLM Wiki pattern.
Team memory for engineers and their AI agents. Lives in your repo. Shared through Git.
The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more.
A security scanner for your LLM agentic workflows
The new and trending MCP servers of the week, with install configs. One email a week, free.
Free listing via the submission form. Need it fast or want more developers to see it?