Havuz

Persistent, inspectable memory that grows and refines over time. Built on files. Owned by you.

Python SDK for vector search, semantic search, RAG, embeddings, and AI agents on Oracle AI Database

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

Give any local LLM a billion-token memory. Open-source, local-first context + memory engine for Ollama and AI agents — runs on your own mach

可观测、可评测、可部署的多 Agent 工程平台：结构化路由、Skills、工具/RAG、50 模型实验中心与 LLM-as-Judge。FastAPI + Vue。

AI-operable research workspace for Zotero, Obsidian, and NotebookLM. Use any two, or all three, through CLI, MCP, REST, and dashboard.

An open-source RAG platform to explore the unsealed Jeffrey Epstein court documents.

Kyros — The Memory OS for AI Agents Give your AI agents secure, self-correcting, persistent memory in 3 lines of code. Three memory types

Per-project semantic search over Claude Code session history. Indexes JSONL transcripts into SQLite; retrieves via bge-m3 embeddings (Ollama

Protokół dla polskiej inteligencji.

Agentic memory for CTI in Python — STIX knowledge graphs, threat-actor alias resolution, offline-first RAG, MCP server for Claude Code and L

面向"面试官 × 简历主人公"场景的个人简历 RAG 问答 Agent：把简历、证书、荣誉、项目介绍放进知识库，面试官可对简历任意提问（自我介绍、项目深挖、技术八股、HR 素质、简历细节），系统以第一人称自然作答。核心设计是"宽松推理 + 诚实标注"——硬事实（数字/日期/证书名

Local-first MCP server and CLI in Rust: any page as LLM-ready Markdown, whole-site crawls, keyless search, and local captcha solving. No clo

开源紫微斗数 AI Agent：基于确定性命盘事实进行可追溯对话。 Evidence-backed chart conversations.

Multi-agent AI/CS learning assistant: LangGraph routing, LightRAG graph RAG, three-layer memory, learning roadmaps. FastAPI + React.

Local document knowledge base for DeepSeek Harness: library_add/remove/list, hybrid semantic+keyword library_search with diversity re-rankin

Full-text financial reports (US, China, Japan, Korea, Taiwan) as clean Markdown — REST API + MCP server for LLMs, RAG and quant

Own your LLM's web search: a local search->fetch->rank pipeline that replaces hosted web-search tools. Measured: matches hosted accuracy at

The complete backend for AI agents in one SQLite file : Documents, vectors, cache, queue, and cron.

Seu próprio Agente de IA treinado no seu método: hub de agentes com login, venda automática e painel admin. Next.js + Supabase + OpenAI. Mon

[ACL'26 Main] Official code for "LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning".

Code samples for building AI applications on AWS with Amazon Bedrock, including Converse API, tool use, RAG with Knowledge Bases, guardrails

Raise your own dragon: fine-tune a language model on your own documents, from R. Writes the training data, trains on your laptop, RAG built

Open-source context infrastructure for agents. Sync changes, inspect paths and read current source content through Python, CLI or MCP.

A local-first AI memory system with hybrid search, MCP integration, and a knowledge graph.

Agent skills for LandingAI's Agentic Document Extraction (ADE) — production-ready document AI for agentic coding assistants

The Ultimate AI Compute Gateway ( Router ) | A high-performance, stateless-to-stateful LLM compute gateway in Go. Features multi-model pooli

Concurrent Go CLI that detects hidden prompt-injection content in documents — invisible Unicode, homoglyphs, hidden HTML, and known trigger

AI brain for your Paperless-ngx archive — chat with your documents via local (Ollama) or cloud LLMs, with agentic tool use, semantic search

AI agent workflow platform — visual flow orchestration, drag-and-drop forms, knowledge base RAG, multi-model LLM, digital workers, Tauri des

PostgreSQL-compatible SQL, graph, and vector database built from scratch in Rust.

Gomaa — Autonomous Agent Memory OS. Persistent memory system for AI agents with Obsidian vault integration, hybrid RRF search, knowledge gra

Open-source metasearch backend, MCP server, and AI search API for LLM agents. Python FastAPI search gateway with Google search via SerpBase

A post-retrieval temporal layer for RAG systems — validity filtering, time decay, document kind classification, and hybrid reranking in one

帮助每一个人快速上手vibe coding和agent的学习，体会vibe的乐趣。教程包含常见概念扫盲、dify、opencode、codex、trae的使用指南；还会手搓一个mini agent深入理解底层原理；最后还包含langchain和langraph框架的入门和学习教程

Bounded, inspectable LLM inference pipelines from declared YAML — runs offline against Ollama or any OpenAI-compatible local server, emittin

Install once, talk to your agent. ThinkWiki turns documents and notes into a local Markdown wiki with inbox review, content knowledge graph,

Local OCR, metadata automation and RAG document chat for Paperless-ngx using PaddleOCR and Ollama, designed for CPU-only self-hosted servers

Local LLM-maintained personal wiki, built on Karpathy's LLM-Wiki pattern. Runs on Ollama + Qwen3 + QMD.

Private, self-hosted document chat for attorneys: parse legal PDFs and query them with local open-source LLMs (Ollama) + verifiable page cit

A local dual-layer memory pattern for AI agents: a compact, human-readable markdown index paired with semantic retrieval from a local vector

Installable DeepSeek Harness knowledge base plugin

Evano Studio is an open-source local AI desktop app for agents, automation, knowledge, and productivity.

Enter a US stock ticker, get an analyst grade memo with DCF valuation, peer comparables, news sentiment, and earnings call tone analysis. Mu

Grabs all your Perplexity conversations data, spits it out into a nice file folder structure and allows you to find your old conversations a

让 DeepSeek Harness 拥有跨会话长期记忆：AI 自动记住你是谁、你的项目和偏好，新会话直接带上背景，生活与工作记忆自动分开互不干扰，零配置无感运行 | Long-term memory for DeepSeek Harness: the AI remembers

Extends pageIndex into an AI document workspace with multi-format parsing, OCR, visual TOC, custom models, citations, and agentic QA.

Open-source control layer over PDF parsing that picks the right method, verifies output quality, and falls back automatically when results f

AI-Lake Format: self-contained Parquet + HNSW index — unifying tabular data, embeddings, and vector search in a single Iceberg-compatible fi

AI Agent / LLM application engineer Chinese interview question bank: 2,038 questions with reference answers