Results for “rerank”

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

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

A library-science-inspired personal knowledge management system with LLM agents

The #1 Obsidian MCP for AI memory and local document intelligence — one vault, every agent, private and cited.

MCP Docs Vector - Documentation vectorization and search via MCP

Super Memory

Persistent AI memory for Claude Code, OpenClaw, and any MCP-compatible agent. BM25F + vector hybrid, governance-aware, l

Lightweight Long-Term Memory for LLM Agents.

This MCP server provides tools for listing and retrieving content from different knowledge bases.

On-premises conversational RAG with configurable containers

Skill router and context picker for Claude Code, Cursor, and Aider. Auto-picks the right skill for every prompt, with pr

Memory management and retrieval for Claude Code

Cognitive memory for AI agents. Pure Rust, <1ms recall, 2.7MB, zero cloud. Patent Pending.

Search the TouchDesigner documentation from your AI agent over MCP — hybrid retrieval with real citations, built from th

Cognitive memory for AI agents. Pure Rust, <1ms recall, 2.7MB, zero cloud. Patent Pending.

A powerful RAG (Retrieval-Augmented Generation) system built with LangChain, designed as an MCP server for Cursor, VS Co

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

Local-first, deterministic memory store for AI agents: SQLite-backed BM25 with optional local ONNX semantic search and c

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

A modular RAG (Retrieval-Augmented Generation) system with MCP Server architecture. Using Skill to make AI follow each s

Local-first, auditable memory layer for AI apps and coding agents — Codex, Claude Code, MCP, HTTP, TypeScript, and Pytho

A cognitive memory system for AI agents. Single SQLite file. MCP server included.

RAG-MCP-Server

多模态 RAG 智能体：MCP 协议 + GraphRAG + Cross-Encoder 精排 + 多 Agent 编排 + RAGAS 评估

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

Local FAISS vector store as an MCP server – Agent Memory, drop-in local semantic search for Claude / Copilot / Agents.

A self-contained MCP server in docker that combines the Crawl4AI, SearXNG, and Supabase to provide AI agents and coding

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

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

MCP server for OpenRouter — chat with 300+ LLMs (Claude, Gemini, GPT), analyze images / audio / video, generate images /

Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.

OpenAPI-generated MCP server for TokenLab text, image, video, music, 3D, audio, files, embeddings, rerank, translation,

Reliable research infrastructure for AI agents. Evidence-backed web search with citations, confidence scores, and Clarit

Embedded, local-first agent memory. No server, no daemon, no mandatory cloud key.

CoexistAI is a modular, developer-friendly research assistant framework . It enables you to build, search, summarize, an

Persistent semantic memory for AI agents — 100% local on Apple Silicon (MLX) or Linux/Ubuntu (CPU). Markdown source of t

A production-grade semantic search server for food recipes — built for AI agents using the Model Context Protocol (MCP).

All-in-one platform for search, recommendations, RAG, and analytics offered via API

Universal MCP memory server: personal + shared memory across any MCP-compatible agent (Claude Code, Cursor, Codex CLI)

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

Local-first persistent agentic memory powered by Recursive Memory Harness (RMH). Open source must win.

MCP server for token-efficient large document analysis via the use of REPL state

Open-source, self-hostable markdown team wiki with a built-in MCP server — so AI agents read, write, and search your doc

vMLX - JANGTQ Uber Compressed MLX Models - L2 Disk Cache (survives restart) + L1 Paged (super fast ttft) + Hybrid SSM Sc

Local-first AI memory system in Rust with SQLite storage, semantic search, knowledge graph, MCP server, and CLI.