#rag

Production plumbing for LLM apps: context, cost, testing & governance — composable, framework-agnostic Python libraries.

Context.dev Go SDK: scrape any URL to LLM-ready markdown, crawl sites, search the web and extract structured JSON with one API key.

Give any MCP-capable agent persistent memory: remember/recall over a tiered store with hybrid vector + keyword retrieval. Single Go binary, SQLite or Postgres, embedded admin UI.

.NET pipeline framework for enterprise AI applications — multi-provider LLM integration, RAG pipelines, and multi-agent orchestration with a fluent builder API.

.NET library for on-demand local AI model inference — zero bundled models, lazy loading, hardware-aware GPU/CPU selection, 10 task types including embeddings, generation, vision, and audio.

Compiles git-backed markdown into a verifiable, read-optimized index for AI coding agents.

AI chat backend with knowledge base Q&A, MCP tools, and OAuth authentication.

The .NET library to build AI agents with 30+ built-in connectors.

AI pull-request reviewer: hybrid RAG + a code graph + Claude Code/Codex. Whole-repo context, inline GitHub comments grounded on exact code. MCP server + Claude Code/Codex plugin.

Persistent memory & code intelligence server for AI coding agents. Deploy on VPS for shared memory across machines. Hybrid search (BM25 + pgvector), knowledge graph, impact analysis. 14 MCP tools. Works with Claude Code, OpenCode, Cursor, and any MCP client.

C# SDK for the Jina API -- embeddings, reranking, and search

Intent-driven AgentOS for graph-based engineering workflows and agent orchestration

📚 AI-powered research reading workbench. Project-based paper Q&A with Hybrid RAG, multi-agent workflows (ReAct/Plan-Act/RePlan), long-term memory, and traceable evidence. Built with LangChain + LangGraph + Streamlit.

Persistent memory MCP server for AI agents — Rust, 19 tools, knowledge graph, Hebbian learning, episodic memory, contradiction detection, prospective triggers, Bayesian calibration, zero-config Docker setup.

Local code intelligence MCP server and CLI for AI coding agents

Turn YouTube, websites, and arXiv papers into a structured, reusable corpus of insights, syntheses, and reports.

No repository description published.

Quickly reads webpages and converts to markdown for fast, token efficient web scraping

Search code and feature records by meaning through the command line or Model Context Protocol (MCP). Inference runs on your GPU.

Agentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.

Goink 桌面 AI 小说创作助手，对话式写作 + 自动状态追踪 + 本地语义搜索。跨平台开箱即用。AI Agent Novel Generator.

Fast BM25 search in Python, powered by Numpy and Numba

Self-hosted MCP server that makes your Obsidian/markdown vault searchable — text, PDFs, Office docs, images, audio — from any MCP client. Hybrid retrieval over a typed, governed corpus, sub-second at 50k notes; your files stay plain markdown.

Local‑first MCP server for multi‑repository semantic code search with Qdrant and llama. Turns your entire workspace into private context for AI coding assistants like Claude Code, Codex, Cursor, Copilot, Antigravity and Windsurf.

한국어 PII 검출 + 가명화 Python 라이브러리

An agent framework for Go with graph-aware memory, UTCP-native tools, and multi-agent orchestration. Built for production.

LLM agent evaluation framework with 7 Harness Gates (A–G) and 58 metrics. Supports LangChain, CrewAI, AutoGen, DSPy, PydanticAI. Native LLM-as-Judge, OTEL tracing, FastAPI dashboard.

Providing unified trait abstractions for AI models

A pure-Go, single-file AI memory and knowledge graph library and plugin.

Self-hosted retrieval infrastructure for AI assistants. MCP-first search and grounded answers over a private corpus, with citations that resolve to a real location in a real document — a page, a heading, a line, a cell.