Auto Ontology is a Python framework for building semantic, graph-based reasoning layers over data. It enables deterministic query generation, better context retrieval, and more explainable AI for LLM and agent workflows.
Personal AI, On Personal Devices
🐍 Geometric Computer Vision Library for Spatial AI
Build and run agents you can see, understand and trust.
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
Build resilient agents.
The agent engineering platform.
Building the self-learning layer next-gen agents will ship with, learning skills from real work.
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
Build Real-Time Knowledge Graphs for AI Agents
The batteries-included agent harness.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free
AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical memory, avatar & group chat, skill ecosystem, safety sandbox, and IM gateway (Feishu/WeChat).
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
Build AI text detectors whose decisions are mechanistically grounded and human-auditable (EMNLP 2026)
Wan: Open and Advanced Large-Scale Video Generative Models
Open Source framework for voice agents, multimodal apps, and realtime AI. Maintained by Daily and the community.
[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
Jev-like family of decision models built on top of Qwen3.5/3.8 you can train and run on your own
A lightweight, powerful framework for multi-agent workflows
Scrapy, a fast high-level web crawling & scraping framework for Python.
scikit-learn: machine learning in Python
HelixHarness 提供完整的 AI Coding 工程化基础能力,还支持不同企业和团队结合自身的业务知识、工程规范和研发流程,持续构建和演进属于自己的专属 Harness
"RAG-Anything: All-in-One RAG Framework"
The Python micro framework for building web applications.
The open-source agent for CI/CD reliability.
Graph-Native Infrastructure for Context and Accountable AI Systems
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
基于Python的开源量化交易平台开发框架
The self-driving agent platform
🤗 smolagents: a barebones library for agents that think in code.
Python toolkit for quantitative finance
🧱 Experimental library for building inference engines
Official PyTorch implementation of VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.
☤ The official plugins for Hermes Agent, built and maintained by Nous Research: Home Assistant, Spotify, Claude Subscription DirectSDK and more, one install away from the Hermes plugin catalog.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Build autonomous AI agents that interact with blockchains — in minutes, not months.
Offline voice-agent application layer: session core with byte-deterministic replay, spoken-LLM adapters (scripted/replay/loopback-mock), injection-safe function-call grammar, slot grounding, workflow engine with compensation and resume, permissioned tool sandbox, repair-dialog policies, task-success and latency evaluation. NumPy core, torch extra.