Local MCP server that captures the why behind your code — domain knowledge for Claude, Cursor, Copilot, and any MCP agent.
TypeScript-based Model Context Protocol server with SQLite. Enables AI to persist and search user entities, observations, and relationships.
Shared memory for AI coding agents, across tools and machines. Local-first SQLite, optional Zenoh+RocksDB mesh, MCP-native.
Project-aware collection management based on Qdrant, including a Rust MCP, daemon and CLI: hybrid semantic, pattern and full-text (FTS5) search into single or cross-concerns collection. Dedicated coll
Auditable, self-improving knowledge & memory for AI agents over MCP. Zero-key & multilingual by default · citation-enforced answers · replayable why-trace · judge-gated compounding loop. Postgres-only
Local code search and cited answers for Project Chrono and PyChrono, grounded in Chrono's own code, demos and docs. CLI, MCP server for editors, and web app; search needs no API key, written answers u
Athena MCP RAG Server: Production-ready Pinecone-powered Retrieval-Augmented Generation server for Claude Desktop, with PDF ingestion, teacher tools (explain, study plans, quizzes)
Wake Intelligence: 5-Layer Temporal Intelligence for AI Agents A production-ready Model Context Protocol (MCP) server implementing a temporal intelligence "brain" with five layers: Past (causality tr
MCP Server for Agentic RAG applications
Nexus Memory System is a Rust memory platform for AI coding agents. It provides a shared SQLite-backed memory store, a CLI for day-to-day operations, native hook installers for supported agent tools,
This repository presents a production-ready RAG system combining LangGraph agent with Model Context Protocol (MCP) integration. Features hybrid search using Reciprocal Rank Fusion (RRF) via MongoDB ve
On-prem, MCP-native memory for AI agents in regulated settings: every write lands in a SHA-256 hash-chained log an auditor can check offline, without running the vendor's code. Rust, embedded, Apache-
Persistent, local-first memory for AI agents. Selective by design: filters what's worth keeping, links what's related, and says nothing when it doesn't know. SQLite + ONNX, no cloud, no API keys.
Self-hosted, model-agnostic AI agent orchestration platform. Build, run, and observe AI agents backed by any LLM (Anthropic, OpenAI, Gemini, Ollama). Features: agent groups/pipelines, tool execution
SOTA developer memory system — local MCP server in Go that gives any coding CLI persistent, project-scoped session/feature memory
Persistent codebase memory for AI coding agents. MCP server + CLI + dashboard.
Archivist MCP is a local-first memory server for coding agents. It persists decisions, incidents, rules, entities, and graph relationships in SQLite, then exposes them over MCP (stdio/HTTP), SSE team
Local hybrid search over your own files — dense vectors, BM25, and metadata filters in one query. The same binary is an MCP server, so agents can search your notes.
VecRecall 是一个进化版的 AI 长期记忆系统, v2.0 在纯向量检索之上,叠加 LLM 认知层(写入时自动抽取实体/关系/摘要/话题 + 语义去重)、时序知识图谱、遗忘曲线与主动蒸馏、多跳向量+图谱混合检索与静态加密,并把嵌入升级为「零依赖 subword 词法 + 多语言语义模型」双层。内置可复现评测集(21 组中英混合 query)中,召回率(R@5)达到 语义嵌入 100% /
MCP search and evidence tool for AI agents with query rewriting, source zoom-in, sourced answers, and runtime metrics.
Local-first, deterministic memory store for AI agents: SQLite-backed BM25 with optional local ONNX semantic search and cross-encoder rerank, graph projection, and an MCP adapter. No required network o
SolidWorks 2022 MCP server: run, test and auto-fix VBA macros via COM. Self-improving knowledge base, JS-rendered API-docs pipeline, 23 feature generators (parts, assemblies, surfaces, sheet metal).
Persistent memory for AI coding agents. MCP server + lifecycle hooks that give Claude Code, Codex and Cursor long-term memory across sessions — one Rust binary, one local SQLite database, no server.
AI Books MCP Server - Extend LLM context 15-60× via gravitational memory | Official MCP server for Claude Code & Anthropic
Semantic code search MCP server for Claude Code — find code by meaning, not just text matching
A semantic search system for Markdown notes with Model Context Protocol (MCP) server integration. Build searchable embeddings indexes from your Markdown files and expose them via JSON-RPC 2.0 over std
Self-hostable, open-source shared memory for AI agents: plain markdown in git that a curator agent organizes itself, readable and writable over MCP. Beta — no auth, single machine.
MCP server for self-hosted Mem0 with Qdrant vector + Neo4j graph memory
Persistent memory server for AI coding tools. Works with Claude Code, Cursor, Claude Desktop, Codex, OpenCode, and more.
Memro — the memory layer for AI context. Server, SDKs, MCP server and integrations.
Long-term memory for AI agents. MCP server with local embeddings, heat-based recall, and hierarchical clustering on embedded SurrealDB.
The first open-source MCP server for jPOS and ISO 8583. Give AI agents deterministic access to payment protocol expertise.
A practical open-source roadmap to build production-grade AI agents, copilots, RAG systems, MCP tools, and agentic applications.
Keeps your agent true to your rules. Keeps them true to the code. Keeps learning as you build.
Rust-native universal retrieval layer for humans and AI agents — search, extract, rank, and synthesize the web. CLI + REST API + MCP server, with adaptive extraction (CEP), token-budgeted packing, mul
AmanMCP is a local-first RAG MCP server for developers - providing hybrid search (BM25 + semantic) over codebases for AI assistants like Claude Code and Cursor.
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RAG, grafos y memoria de agente a largo plazo. 2,619 servidores, los más usados primero. Cada uno abre la página del publicador.