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A little curiosity. A world of open source.
THE FIRST COLLECTIONMem0 is an open-source memory layer for AI assistants and agents, offering persistent personalized memory via Python/TS SDKs, CLI, self-hosted server, or cloud. Supports multi-level memory, hybrid retrieval, temporal reasoning, and many LLM providers.
A curated collection of 90+ hands-on AI engineering tutorials and projects covering LLMs, RAG, agents, MCP, multimodal apps, fine-tuning and evaluation, organized by beginner, intermediate and advanced difficulty.
Hello-Agents is a systematic intelligent agent learning tutorial launched by the Datawhale community, covering core agent principles, classic paradigm construction, framework development, memory and retrieval, context engineering, communication protocols, Agentic-RL training and comprehensive project practice, suitable for AI developers and self-learners to build AI-native agents from scratch.
DeepTutor is an open-source lifelong personalized tutoring platform from HKUDS, combining agentic chat, knowledge bases with multiple RAG engines, guided learning, book generation, quizzes and multi-channel IM partners.
AgentGuide is an open-source knowledge base for AI Agent development, research, and job hunting, offering systematic learning paths, hands-on projects, and interview question banks to guide learners from beginner to job offer.
Agentic OS is a self-hosted control plane for running business operations as a fleet of AI agents. It features a cost-aware LLM router, cross-module workflows, and human-in-the-loop approvals for finance, support, and compliance.
Lexos is an event-driven AI document processing engine combining a Go gateway, Python workers, Redis queues and self-hosted models for offline RAG, summarization and speech transcription.
LEANN is a lightweight vector database designed for personal RAG applications, reducing storage requirements by up to 97% through graph-based selective recomputation.
PixelRAG renders documents as screenshots and retrieves over images directly, preserving visual structure like tables and charts that text parsing loses. Includes a hosted 8.28M-page Wikipedia index, CLI tools, and Claude Code integration.
CocoIndex is an open-source incremental indexing framework designed to provide AI agents and LLM applications with continuously fresh context by reprocessing only changed data.
Utility OS is a Next.js academic workspace for university students with Google Drive-synced notes, hybrid RAG AI search with grounded citations, a study planner, GPA calculator, SRS flashcards, Pomodoro timer, and a PWA client.
PaddleOCR is an open-source OCR toolkit that converts PDFs and images into structured data (JSON/Markdown) for LLMs. It includes PP-OCRv6 for multilingual text recognition (100+ languages), PaddleOCR-VL for document parsing, and PP-StructureV3 for layout-aware conversion. Supports CPU, GPU, and various AI accelerators.
Lemory is a local middleware that transforms markdown notes (e.g., Obsidian vaults) into a context database for AI agents. It supports keyless on-device hybrid search, Korean-specific processing, hierarchical token savings, and knowledge graph visualization, integrating with various AI tools via MCP.
TalaDB is an embedded vector and document database designed for on-device AI, providing a unified TypeScript API across Browser, Node.js, and React Native.
Open-source collection of 100+ AI agents, agent skills, and RAG apps. Apache-2.0, hand-built and tested end-to-end, works with Claude, GPT, Gemini, DeepSeek, Llama, Qwen.
Open source AI platform providing a feature-rich chat interface for any LLM. Includes agentic RAG, deep research, custom agents, web search, code execution, and 50+ data connectors. Deployable via Docker, Kubernetes, or a single command.
DB-GPT is an open-source agentic AI data assistant that connects to databases, spreadsheets and knowledge bases, autonomously writes SQL and Python code, runs reusable skills in sandboxed environments, and turns analysis into charts, dashboards and reports.
FastGPT is a knowledge base platform based on large language models, providing out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, supporting rapid construction and deployment of complex Q&A systems.
Open WebUI is a self-hosted, extensible AI platform that provides a user-friendly interface for local and cloud-based models, supporting Ollama and OpenAI-compatible APIs.
Headroom compresses tool outputs, logs, RAG chunks, files, and conversation history before they reach the LLM, reducing token usage while preserving key information. Runs locally as a Python/TypeScript library, proxy, MCP server, or agent wrapper for Claude Code, Codex, Copilot, Cursor, and more.
