honcho
Memory library for building stateful agents
Retrieval-augmented generation (RAG) makes a language model answer from your own documents. The text is split into chunks, turned into vectors and stored in an index, and the most relevant chunks are added to the prompt when a question comes in. The projects here cover the whole pipeline or one part of it: document parsing, vector search, or a complete question-answering app.
Answer quality in RAG depends mostly on retrieval, not on the model. Compare how each project handles difficult documents such as PDFs, tables and scans, whether it supports hybrid search that combines keywords with vectors and re-ranking, and whether it shows which sources an answer came from.
Memory library for building stateful agents
可私有部署的多租户知识智能体平台:统一 RAG、知识图谱、多智能体、MCP/Skills、沙盒与权限管理。Self-hosted knowledge agent platform for RAG, knowledge graphs and multi-agent workflows.
Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML
🔥 基于大模型和 RAG 的智能问数系统,对话式数据分析神器。Text-to-SQL Generation via LLMs using RAG.
The system of action for AI-native cybersecurity—where intent becomes governed execution, evidence becomes operational memory, and every operation improves the next.
《大模型与智能体》电子书与 6 个编程任务:Transformer、mini-GPT、SFT/DPO、RAG、工具调用与编程智能体。
↥ ↥ ↥ Follow for updates An RBAC permission management system based on Spring Cloud 2025, Spring Boot 4, and OAuth2.
Open-source context retrieval layer for AI agents. Open-source context retrieval layer for AI agents and RAG systems.
Turn your PC, Mac, or Linux box into an AI server. LLM inference, chat UI, voice, agents, workflows, RAG, and image generation.
Open-source framework for building agentic apps in JavaScript, Go, Dart, and Python, built and used in production by Google
The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL
Quantization, kernels, runtime and inference engine for mobiles, wearables, smart home and robots.
An automated document analyzer for Paperless-ngx using OpenAI API, Ollama, Deepseek-r1, Azure and all OpenAI API compatible Services to automatically analyze and tag your documents.
HelixDB is an OLTP graph database with native vector and full-text search built in Rust on Object Storage.
Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles, unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.
🐢 Open-Source Evaluation & Testing library for LLM Agents
A visual playground for agentic workflows: Iterate over your agents 10x faster
Context Graph for AI Native SDLC. Potpie turns your codebase and software development lifecycle into a living context graph for AI agents.
An enterprise AI development framework for building AI agents. It provides unified management of multi-provider LLMs, secure enterprise knowledge bases with high-precision retrieval, visual workflow orchestration and multi-agent coordination. Compatible with mainstream Agent Skill standards, it enables developers to efficiently build production-gra
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org
An AI-powered custom node for ComfyUI designed to enhance workflow automation and provide intelligent assistance
MineContext is your proactive context-aware AI partner(Context-Engineering+ChatGPT Pulse)
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices