Results for “embeded”

A local MCP memory server backed by plain markdown + JSON files, synced via git. No database. Project-scoped memory with

Persistent memory for Claude Code & Codex CLI. Auto-extracted knowledge graph, multi-representation embeddings, 3D WebGL

Deep code indexing MCP server for AI agents. 25 tools: hybrid FTS5 + embedding search, call graphs, git blame/hotspots,

CLI tool for building production RAG systems from Markdown, CSV, and PDF documents using hybrid search (BM25 + vector) w

Python, LlamaIndex, LangChain, Docker Compose: 15 Property Graph, 4 RDF , 10 Vector, OpenSearch, Elasticsearch, Alfresco

MCP Server For Turkish Legal Databases

[knowledge-rag] - Drop docs, search instantly from Claude Code — 12 MCP tools, 20 format parsers, hybrid search + rerank

Local-first context ingestion and retrieval for AI tools. SQLite + embeddings + MCP server for Cursor & Claude.

Save 30% token costs when using Claude Code, Codex, OpenCode for free - with open source, local semantic search. Works f

Durable hybrid memory for AI agents: vector + BM25 + temporal + graph recall, exposed through MCP, HTTP, and Python.

Convert source code to LLM ready knowledge base

Zero-config MCP server for searchable documentation (SQLite default, PostgreSQL optional)

Redis Vector Library (RedisVL) -- the AI-native Python client for Redis.

It is a comprehensive resource hub compiling all LLM papers accepted at the International Conference on Learning Represe

Persistent memory system for AI coding assistants. Captures decisions, learnings, and context from coding sessions. Feat

Frontend AI coding agent platform with CLI, VS Code extension, desktop app, MCP server, RAG planning, Skills, SDD guardr

The most feature-complete MCP server for Obsidian vaults — 23 tools + 3 resources for search, read, write, tags, link an

AI semantic search for Zotero, with a built-in MCP server for AI agents (Claude Code, Codex). Find papers by meaning. 10

Local, git-versioned memory for AI coding agents. No RAG, no Docker, no external service. Capture, compile, recall over

Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents

mcp-server-outlook-email

Persistent memory MCP server for AI agents — Rust, 19 tools, knowledge graph, Hebbian learning, episodic memory, contrad

Agent OS in Rust — one binary, 37 agents, 26 LLM providers, 37 channels (Telegram/Discord/Slack...), MCP server, A2A pro

✈️ 24-tool MCP server for Claude Code: preflight checks for your prompts, cross-service context, session history search

Turn your documents into agent memory. MCP server with hybrid semantic + keyword search over emails, PDFs, notes, and pa

MCP server for semantic search using local Qdrant vector database and OpenAI embeddings

LLMs and Machine Learning done easily

Local Retrieval-Augmented Generation (RAG) plugin for Claude Code that combines Chroma db vector embeddings with intelli

memory-mcp-1file

MCP Docs Vector - Documentation vectorization and search via MCP

On-premises conversational RAG with configurable containers

Cognitive memory for AI agents — FSRS-6 spaced repetition, 29 brain modules, 3D dashboard, single 22MB Rust binary. MCP

🦀 Prevents outdated Rust code suggestions from AI assistants. This MCP server fetches current crate docs, uses embeddin

Run local AI models, search your files and code, and crawl the web, all in one program. Cited answers, local-first, with

Multi-modal RAG engine for AI assistants. Stores conversation history, conclusions, diffs, error traces, and other devel

Persistent local memory layer for AI. ArcRift uses a Chrome extension and a native MCP server to sync context and decisi

MCP Documentation Server - Bridge the AI Knowledge Gap. ✨ Features: Document management • Gemini integration • AI-power

Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accu

Persistent memory system for AI coding assistants via MCP. Works with Claude Code, Cursor, Copilot, Windsurf, Cline.

Fully autonomous AI Agents system capable of performing complex penetration testing tasks

Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and wri

Open-source, self-hosted knowledge backend for AI agents — hybrid search (vector + keyword), MCP server, 5 connectors, D

@zilliztech✓ Official

From a sample document to a running Milvus / Zilliz Cloud search app in minutes — an AI-guided scaffold delivered as a A

Rimworld Coding RAG MCP server

Graph-based tool retrieval for LLM agents — 248 tools → 82% accuracy, 79% fewer tokens. Zero dependencies. OpenAPI / MCP