* [Onyx v4.6.0](https://github.com/onyx-dot-app/onyx) – Feature-rich, self-hostable chat UI that works with any LLM and supports agents, RAG, connectors, web search, and code execution.

* [RAGFlow v0.27.0](https://github.com/infiniflow/ragflow) – RAG engine combining large language models with document understanding for accurate question answering and citation.

* [FastGPT v4.16.0](https://github.com/labring/FastGPT) – Knowledge-based platform leveraging LLMs for data processing, retrieval, and AI workflow orchestration.

* [AnythingLLM v1.16.0](https://github.com/Mintplex-Labs/anything-llm) – Full-stack application for turning documents into context for LLMs with multi-user management.

* [SQLBot v1.10.1](https://github.com/dataease/SQLBot) – RAG-based conversational data analysis and Text-to-SQL generation using large language models.

* [CortexDB v2.74.0](https://github.com/liliang-cn/cortexdb) – Pure-Go, single-file embedded AI memory and knowledge graph library that provides hybrid vector and lexical retrieval, RDF/SPARQL graph features, and MCP tools via SQLite.

* [Super-Agent-Party v0.4.3](https://github.com/heshengtao/super-agent-party) – 3D AI desktop companion platform with modular LLM enhancements, multi-terminal deployment, and cross-platform compatibility.

* [SurfSense v0.0.38](https://github.com/MODSetter/SurfSense) – Highly customizable AI research agent integrating personal knowledge bases with multiple external sources and advanced search capabilities.

* [Wren AI wren-v0.13.3](https://github.com/Canner/WrenAI) – Generative Business Intelligence agent that allows teams to interact with data for generating insights, reports, and visualizations.

* [AI LocalBase v1.4.7](https://github.com/veyliss/ai-localbase) – Local-first RAG knowledge base connecting local Markdown, TXT, and PDF documents to retrieval search and LLM chat.

* [Lattice v1.14.8](https://github.com/Protocol-Lattice/go-agent) – Go agent framework with graph-aware memory, UTCP-native tools, and multi-agent orchestration.