Graph-native memory and self-learning for Claude Code. Every session remembered, every pattern learned, every agent connected — powered by AI Native Lang.
A local-first, token-efficient MCP memory server for AI coding clients
Local MCP server + CLI turning YouTube & local audio into rich sonic signatures. Extracts BPM, section-by-section key, vocal presence, transient punch, and 512-dim CLAP vibe embeddings. Powered by De
Ultra-fast MCP server for semantic memory and code analysis
RDF knowledge graph for LLMs — an MCP server with 5 tools: triple, sparql, graph, search, validate
GhostMem — a local-first MCP memory server for Claude Code, opencode, Cursor, and other MCP clients.
Ultra-lightweight local knowledge base (OKF v0.2 / LLM Wiki). Markdown is the source of truth; agents connect over MCP — Claude Code, Codex, Cursor, Strata, Unsloth and more.
An MCP server to use vectordb as a tool for AI Agents.
Persistent memory and identity for AI minds, served as MCP tools on Postgres.
A powerful knowledge management system that forges wisdom from experiences, insights, and best practices. Built with Qdrant vector database for efficient knowledge storage and retrieval.
PineScript v6 MCP Server - 6 tools for docs lookup, code validation, and code generation. 1751 entries, 100% local.
Self-hosted MCP memory server with hybrid semantic + keyword search on Cloudflare Workers
RedM / RDR3 docs MCP server: native lookups, semantic search, VORP, RSGCore, oxmysql.
20 free production-ready domain skills for Claude Code, Antigravity & AI agents — LangGraph, RAG, GEO/AEO, MCP, security
A Research Cortex. A research companion for Claude. Your library, notes & memory stay on your machine; answers cited from your own library; 30+ specialist skills; auto cross-pollination across paper
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
Shared memory for AI coding agents, across tools and machines. Local-first SQLite, optional Zenoh+RocksDB mesh, MCP-native.
LLM readiness linter for websites. Audits robots.txt, llms.txt, Schema.org, and content density on a 0-100 scale. Includes MCP server. Published on PyPI: pip install context-cli.
TypeScript-based Model Context Protocol server with SQLite. Enables AI to persist and search user entities, observations, and relationships.
SQLite-based MCP memory server with WAL mode for concurrent access. Drop-in replacement for @modelcontextprotocol/server-memory
Local MCP server that captures the why behind your code — domain knowledge for Claude, Cursor, Copilot, and any MCP agent.
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-
Athena MCP RAG Server: Production-ready Pinecone-powered Retrieval-Augmented Generation server for Claude Desktop, with PDF ingestion, teacher tools (explain, study plans, quizzes)
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
Persistent code graph for AI agents. Tree-sitter → SQLite → MCP. Agents store understanding once, skip re-reads forever. 51–1500x fewer tokens.
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.
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,
SOTA developer memory system — local MCP server in Go that gives any coding CLI persistent, project-scoped session/feature memory
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.
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
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
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
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% /
Persistent memory server for AI coding tools. Works with Claude Code, Cursor, Claude Desktop, Codex, OpenCode, and more.
MCP search and evidence tool for AI agents with query rewriting, source zoom-in, sourced answers, and runtime metrics.
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.
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RAG กราฟ และหน่วยความจำระยะยาวของเอเจนต์ 2,578 เซิร์ฟเวอร์ เรียงจากที่ใช้มากที่สุด แต่ละรายการจะเปิดหน้าของผู้เผยแพร่