upstash/context7 A MCP Server Active
Up-to-date code documentation for LLMs and AI code editors.
Browse all Model Context Protocol servers with quality scores, stars, languages and maintenance activity.
Up-to-date code documentation for LLMs and AI code editors.
Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources
Hindsight: Agent Memory That Works Like Human Memory - Built for AI Agents to manage Long Term Memory
Transform 17 source types (docs, GitHub repos, PDFs, videos, Jupyter, Confluence, Notion, Slack/Discord) into AI-ready skills and RAG knowledge. 35 MCP tools for scraping, packaging, enhancing, and exporting to vector databases (Weaviate, Chroma, FAISS, Qdrant). Supports 16+ target platforms.
Persistent, local-first AI memory: a semantic knowledge graph of plain Markdown files that humans and LLMs both read and write. Works with any MCP client, with optional cloud sync and team workspaces.
Self-hosted plain-markdown knowledge base with a built-in MCP server. Lets Claude Desktop, Cursor, and any MCP client search, read, create, edit, tag, and template notes — same vault that powers the web UI. Pure-stdlib client, no extra deps, MIT-licensed. Can run in Docker.
Persistent memory with knowledge graph visualization, semantic/hybrid search, cloud sync (S3/R2), and cross-session context management.
Local-first memory and judgment layer for AI coding agents. Captures issues, failed attempts, fixes, and decisions in readable Markdown + JSONL, re-injects them into future sessions, and warns at git commit before you repeat a mistake. 14 tools, works with Claude, Cursor, Antigravity, and Codex.
Local memory layer over the session histories coding agents already write (Claude Code, Codex CLI, opencode): lexical search, recall tools, session-start auto-recall, secret redaction at index time, cross-machine sync over SSH.
Local-first cognitive memory for AI agents. FSRS-6 scheduling, smart ingest, SQLite storage, portable sync, embedded dashboard, and optional Cognitive Sandwich hooks for Claude Code, Cursor, Codex, and other MCP clients.
Universal AI bridge for Obsidian vaults using MCP. Provides safe read/write access to notes with 11 comprehensive methods for vault operations including search, batch operations, tag management, and frontmatter handling. Works with Claude, ChatGPT, and any MCP-compatible AI assistant.
Local memory daemon for any MCP-over-stdio client with three-tier storage (episodic/semantic/procedural). Own SQLite + hnswlib store (Hippo) with bge-small-en-v1.5, MIT-licensed community-detection reranking (MOSAIC), and sleep-cycle consolidation. AES-256-GCM encrypted at rest, no telemetry. Verbatim recall >=99% and post-contradiction Rescue@10 1.000 at honest scale. Ambient capture via shell ho
Open-source LLM knowledge base for teams. 28-tool native MCP server turns Slack/Discord/Teams/Mattermost chat into a typed knowledge graph + auto-generated wiki with cited answers, semantic search, expert finding, and decision tracing. BYO LLM via LiteLLM, Apache 2.0, on-prem via Docker.
Auditable context control plane and MCP server for AI coding agents. Compresses context 70–95% (BM25 + entropy + dep-graph knapsack), stabilizes prompt prefixes for provider cache discounts, routes easy tasks to cheaper models (RAVS Bayesian router), and verifies answers locally with WITNESS hallucination guard (0.844 AUROC, $0, ~3 ms). MemoryOS adds local budget-aware working/episodic/semantic me
AI-native ontology engineering with 39 tools and 5 prompts for OWL/RDF/SPARQL. Validate, query, diff, lint, version, and govern knowledge graphs via Oxigraph triple store.
Agent failure memory network. Search 235+ verified debugging lessons from real engineering sessions. BM25 + SAG-Lite search, 3 tools (search, get_lesson, submit_usage), 5 resources, 3 guided prompts. Works with Claude Code, Cursor, and any MCP client. `python3 scripts/mcp_server.py`
Persistent, compounding memory for AI agents across sessions. Uses the Intelligent Distance Protocol to surface the most contextually relevant past memories. Five tools: `session_start`, `remember`, `recall`, `check`, `session_end`. `npx agent-recall-mcp`
Privacy-first document search server running entirely locally. Supports semantic search over PDFs, DOCX, TXT, and Markdown files with LanceDB vector storage and local embeddings - no API keys or cloud services required.
An MCP server built on [markmap](https://github.com/markmap/markmap) that converts **Markdown** to interactive **mind maps**. Supports multi-format exports (PNG/JPG/SVG), live browser preview, one-click Markdown copy, and dynamic visualization features.
Cognitive memory for AI agents with Hebbian learning, 3-tier architecture, and knowledge graphs. Single ~15MB binary, runs offline on edge devices.
Persistent memory for AI agents with Ebbinghaus forgetting-curve decay, hybrid BM25+vector retrieval, and entity graph for multi-hop reasoning. Memories auto-prune by importance and recall rate. Built-in browser dashboard, multi-agent support, and `yourmemory ask` for zero-API-call local queries. `pip install yourmemory`
Local RAG system for Claude Code with hybrid search (BM25 + semantic), cross-encoder reranking, markdown-aware chunking, query expansion, and 28 MCP tools. Runs entirely offline with zero external servers.
Institutional memory for AI agents with real BFT consensus. 4 application validators vote on every memory before it's committed — no more storing garbage. 13 MCP tools, runs locally, works with any MCP-compatible model. Backed by 4 published research papers.
Loads your personal profile, mined from your local Claude Code/Codex/OpenCode logs, so your agent works like you instead of a cold start. One tool, `load_emulo_profile`. Run with `uvx emulo mcp`.
Persistent memory for AI coding agents with semantic search, auto-capture, cross-session learning, and intelligent forgetting. 28 MCP tools, local-first.
Human-like memory layer for AI agents with semantic, episodic, and procedural memory. Claude Code hooks (auto-save, auto-recall, cognitive profile). 29 MCP tools, knowledge graph, smart triggers, multi-user isolation. Python & JS SDKs.
Persistent user identity across AI tools. Stores preferences, lessons, and decisions as local JSON; 13 core MCP tools share them with Claude Code, Cursor, Codex, and any MCP client. Knowledge governance (staging→verified), AES-256-GCM encryption, cross-tool sync. `pip install piia-engram`
Zero-config persistent memory for AI agents with local SQLite. Mind Palace web dashboard, time travel (rewind/replay sessions), agent telepathy (cross-client memory sharing), code mode templates, morning briefings, and progressive context loading. 25 tools, 6 resources, 4 prompts.
Full automation of Google NotebookLM — Q&A with citations, audio podcasts, video, content generation, source management, and notebook library. MCP + HTTP REST API.
Private-by-default memory and context layer for agents with Go/Rust runtime, staged retrieval across fused data backends, and long-horizon context continuity.
Organizational knowledge base for AI agents. Vault-scoped Markdown docs, structured PostgreSQL tables, and files unified by a URI graph. Hybrid semantic + BM25 search, Git-backed version history, multi-tenant ACL with public-share links. Works with Claude Code, Cursor, Windsurf via `npx akb-mcp`.
Modern, secure MCP server for accessing ZIM format knowledge bases offline. Enables AI models to search and navigate Wikipedia, educational content, and other compressed knowledge archives with smart retrieval, caching, and comprehensive API.
Self-hosted decision memory for AI coding agents. Passively captures architectural decisions with the alternatives you rejected (structured `rejected[]`), then warns the agent before it re-proposes a rejected approach. Postgres + pgvector; cross-tool across Claude Code, Cursor, Copilot, and Codex. Install: `npx robrain up && npx robrain install`.
Persistent cognitive memory for Claude Desktop. Sub-ms recall, offline, encrypted.
Persistent memory for Claude Code grounded in computational neuroscience (41 cited papers). Thermodynamic decay, hippocampal-cortical consolidation, predictive-coding write gate, WRRF retrieval. PostgreSQL + pgvector, 33 MCP tools, 7 lifecycle hooks. Benchmarked 97.8% R@10 on LongMemEval. `claude plugin marketplace add cdeust/Cortex`
Self-hosted MCP server that indexes documentation from various sources and serves it to AI Agents with semantic search.
Agent-first cognitive substrate with 18 manifest-driven verbs (germinate / eat / assimilate / sporulate / traverse / immune / molt / …) and 25 lint dimensions enforcing contract invariants mechanically (R1–R7). Cross-session / cross-project memory via a self-validating filesystem graph — AST + markdown-link derived, not embedding-based. Provider-agnostic by design: MP1/MP2 dims forbid LLM-SDK impo
Outcome-based persistent memory for AI coding tools. Memories that help get promoted, memories that mislead get demoted. Works with Claude Code and OpenCode via hooks + MCP.
Local-first, MCP-native persistent memory for AI agents — a single Rust binary with embedded SQLite, hybrid FTS5 + dense-vector search, and optional AES-256-GCM encryption. Fully offline, no cloud.
Self-hostable, markdown-native team wiki with a built-in MCP server: agents search, read, and write your wiki pages (ranked Postgres full-text + semantic search, backlink traversal). Plus Atlas, which auto-generates a cited, coverage-checked wiki from your git repos and Jira. Go + Postgres. `npx tela-mcp`
Connects to your Pinecone Assistant and gives the agent context from its knowledge engine.
Connect Scrivener 3 writing projects to Claude and other AI assistants. 47 tools for document management, writing analysis, semantic search, character/plot memory, and content enhancement. Progressive skill loading, relationship engine with HMS triplets, and JS fallback for offline semantic search. `npm i -g scrivener-mcp`
Desktop app that captures screen activity via event-driven screenshots, stores AI-generated summaries and OCR text locally in SQLite, and exposes your activity history to AI assistants via MCP with semantic search, timeline browsing, and event detail retrieval.
Read and edit Word (.docx) documents with track changes, comments, footnotes, and structural validation. The only MCP server combining w:ins/w:del tracked changes, threaded comments, and footnotes with OOXML-level paraId validation and document auditing. 18 tools, Python 3.10+.
One-line installable MCP server that adds reusable customization elements — personas, skills, templates, agents, memory, and ensembles (collected customization tools) — to any MCP Client application. Dynamic permissioning for safe AI operations, a robust validation architecture, versioning, and a public collection of shareable content. Install: `npx @dollhousemcp/mcp-server@latest --web`.
Universal persistent memory for AI coding tools. Semantic code search, knowledge graphs, impact analysis, and decision tracking. 90.0% on LongMemEval-S. Works across Cursor, Claude Code, Windsurf, and any MCP client. `npx -y @contextstream/mcp-server`
Local-first persistent memory for AI coding agents. Hybrid vector + full-text search (LanceDB + Tantivy), separate Markdown and Tree-sitter code indexes, per-project isolated vaults shared across IDEs (Cursor, Zed, Claude Code, Codex), bounded recall with abstain-on-low-confidence.