| 10/01 | 9 |
Full-stack application for turning documents into context for LLMs with multi-user management.
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| 09/25 | 9 |
Local-first PDF-to-Markdown conversion for AI agents with page-level tables, locators, and citations that avoid OCR and guesswork.
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| 09/23 | 9 |
Feature-rich, self-hostable chat UI that works with any LLM and supports agents, RAG, connectors, web search, and code execution.
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| 09/18 | 9 |
Highly customizable AI research agent integrating personal knowledge bases with multiple external sources and advanced search capabilities.
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| 10/09 | 8 |
Knowledge-based platform leveraging LLMs for data processing, retrieval, and AI workflow orchestration.
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| 09/28 | 8 |
Go client for interacting with Pinecone data, control, and admin APIs via gRPC and REST.
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| 10/13 | 7 |
Zero-dependency TypeScript runtime for production AI agents, providing durable execution, persistent memory, tool calling, approvals, and resumable runs across Node, Bun, Deno, and edge.
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| 10/12 | 7 |
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.
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| 10/12 | 7 |
AI-powered omnichannel customer service platform with team chat, ticketing, knowledge base, and agent workflows for support teams.
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| 10/11 | 7 |
Curated set of production-ready agent skills for Claude Code, Cursor, Codex, and other AI coding agents.
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| 09/29 | 7 |
Production-ready, self-hosted multi-model AI workspace with interleaved tool execution, RAG knowledge bases, persistent Python sandbox, team workspaces, and full admin backend.
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| 09/22 | 7 |
RAG-based conversational data analysis and Text-to-SQL generation using large language models.
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| 09/21 | 7 |
Generative Business Intelligence agent that allows teams to interact with data for generating insights, reports, and visualizations.
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| 09/17 | 6 |
Local-first RAG knowledge base connecting local Markdown, TXT, and PDF documents to retrieval search and LLM chat.
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| 09/29 | 5 |
RAG engine combining large language models with document understanding for accurate question answering and citation.
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| 10/09 | 4 |
LLM application devops platform tailored for enterprise scenarios with comprehensive features.
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| 10/09 | 2 |
Go and React-based video RAG system that builds a unified index for OCR, ASR, and frame vision, enabling multi-round agent retrieval with pgvector search.
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