#rag

Опис репозиторію не опубліковано.

Govern your documents like code. MCP server that indexes .md/.docx/.html/.pdf into a SQLite knowledge graph and runs drift audits — stale policies, conflicting research claims, superseded docs, undocumented code exports. 12 MCP tools incl. cross-reference graph, governance + provenance metadata, topic similarity. Single binary, zero runtime deps.

Опис репозиторію не опубліковано.

Lightweight prompt injection detection for LLM applications

Persistent memory for Claude Code, Cursor, Copilot & Windsurf — your AI stops re-reading your codebase every morning. 120+ MCP tools, semantic search, shared Team Brain. Free tier, EU-hosted.

Zero-config NL-to-SQL data engine with multi-tenant isolation, built for embedding in multi-tenant SaaS apps.

Deploy production-ready AI services in minutes. One YAML file for agents, RAG pipelines, and MCP servers — run anywhere. Inspired by docker-compose.

A modern Go framework for building multi-agent AI systems.

An open-source personal agent OS - any LLM, private memory you can see and walk.

Zero-dependency .NET library for RAG text preparation: multilingual cleaning, sensitive data masking, content filtering, and semantic chunking across 14 languages.

Self-hosted shared context, memory, coordination, and evidence for Claude Code, Codex, Kiro, OpenCode, and MCP agents.

Опис репозиторію не опубліковано.

knowmind — CLI + MCP-Server für das Gedächtnis Ihrer KI (knowmind.de). npx -y knowmind mcp

Code retrieval for AI agents: one call returns the exact code, verbatim with true line numbers, instead of 20 greps. The whole index is one SQLite file — no vector DB, no daemon. MCP server for Claude Code, Cursor and Codex.

Опис репозиторію не опубліковано.

Token-efficient CLI plugin for Claude Code — Sift-powered search + native tool routing

Native Local AI & Vector RAG Engine for Laravel. Seamlessly integrate Ollama and LM Studio with zero infra and 100% data privacy.

Give AI proven facts — a cryptographically verified truth layer for agent AI, built on ZK proofs, selective disclosure, and on-chain provenance.

A fast and memory-efficient PHP text chunker

One MCP server for all web data — search, scrape, crawl, proxy, and AI research in a single npx install. Works with Claude, Cursor, and any MCP client.

Identity-scoped schema selection for text-to-SQL: give the model only the tables this caller may read, and 75% fewer prompt tokens.

Know your documents before they reach an LLM

AI agent that lives in your chat apps. Controls your machine, remembers your conversations, searches your documents — with guardrails so it doesn't go rogue. OpenClaw without the bloat

Self-improving context & memory for Claude Code and OpenAI Codex. One canonical knowledge store injected only when relevant — hooks push budgeted context, an MCP server serves depth on demand, and it learns lessons from your sessions. Agent memory + context engineering as a single static Go binary.

Static analyzer that turns a Python package's source into a queryable code graph (API surface, dependencies/architecture, impact, change-review, RAG).

AI Agent SDK designed for Go developers

A verifiable memory layer for language models — facts in a graph, every claim with its source.

GoRAG is a production-ready, high-performance RAG (Retrieval-Augmented Generation) framework built entirely in Go. Designed for enterprise scalability, it seamlessly connects your internal data to the most powerful LLMs with zero Python dependencies.

At long last

Опис репозиторію не опубліковано.