Memory MCP Server
Persistent memory using a knowledge graph
3,710 servers in this category
Persistent memory using a knowledge graph
Dynamic problem-solving through sequential thought chains
An autonomous agent that conducts deep research on any data using any LLM providers
Privacy-first. MCP is the protocol for tool access. We're the virtualization layer for context.
Self-hosted URL- and file-to-Markdown service for humans and AI agents - web pages, documents, images, audio, YouTube. PWA + REST + MCP + Claude Code skill, Reddit-aware, refreshable share links.
MCP server that enables AI assistants to interact with Google Gemini CLI, leveraging Gemini's massive token window for large file analysis and codebase understanding
The official MCP server implementation for the Perplexity API Platform
Lightweight core CLI surface for Claude Flow — memory + hooks commands only. Designed to load fast on cold npx cache (<5s) so plugin skills don't race the 30s MCP-startup timeout. The full @claude-flow/cli metapackage lazy-loads everything else on top of
Hook-based token compressor for 5 AI CLI hosts (Claude Code, Copilot CLI, OpenCode, Gemini CLI, Codex CLI). Up to 95% bash compression, signature-mode for code reads, cross-call dedup, MCP server, self-teaching protocol. Zero runtime deps.
Local-first AI memory with knowledge graphs and hybrid search. 17+ AI tools via MCP. Free.
Workspace template + MCP server for Claude Code, Codex CLI, Cursor & Windsurf. Multi-agent knowledge engine (ag-refresh / ag-ask) that turns any codebase into a queryable AI assistant.
An official Qdrant Model Context Protocol (MCP) server implementation
🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, distributed swarm intelligence, RAG integration, and native Claude Code / Codex Integration
Just a Better Chatbot. Powered by Agent & MCP & Workflows.
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
Unified real-time search engine skill for AI agents.
AI Session Memory with Think-Execute-Reflect Quality Loops — give your agent a brain that survives every session. Built on the Intelligent Distance principle.
Bring Warp™ Oz™ agents into any IDE or MCP client — Claude Code, Cursor, Codex.
Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.
AgentRQ: Human-in-loop realtime conversational task manager for AI Agents.