NousResearch/hermes-agent
The agent that grows with you
Explore the best open source Python projects on GitHub, including AI tooling, data libraries, backend systems, automation software, and research infrastructure.
AI engineers, data teams, backend developers, automation builders, and technical evaluators.
Python remains a core language for AI, data, and automation, which makes the ecosystem broad and noisy. A curated ranking helps narrow the field.
Focus on practical adoption signals, maintenance consistency, documentation quality, and whether the repository is solving an active workflow problem.
AI engineers, data teams, backend developers, automation builders, and technical evaluators.
Python rankings matter because the language spans very different buyer and developer intents, from machine learning to CLI automation to web backends. A generic top-star list is rarely enough.
Use this page to spot repositories that are both active and relevant now, then compare them in the project detail view before investing time.
A practical shortlist of Python repositories worth evaluating based on recent GitHub momentum.
The agent that grows with you
利用 AI 大模型和自动化工作流,根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. The fastest local inference engine in the world.
:house_with_garden: Open source home automation that puts local control and privacy first.
A high-throughput and memory-efficient inference and serving engine for LLMs
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]
Get your documents ready for gen AI
基于Python的开源量化交易平台开发框架
Open-source personal AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-agent, multi-model, multi-channel. Lightweight, extensible, one-line install.
AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes CLI, local MCP, catalog, plugins, and Workbench.
SGLang is a high-performance serving framework for large language models and multimodal models.
Streamlit — A faster way to build and share data apps.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Summer 2027 software engineering, data science, AI, quant, product management, and hardware internship postings. Updated daily by Simplify and Pitt CSC.
SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.
[EMNLP 2025 Demo] PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译,支持 Google/DeepL/Ollama/OpenAI 等服务,提供 CLI/GUI/MCP/Docker/Zotero
High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.
The official source code repository for the calibre ebook manager
🗃 Open source self-hosted web archiving. Takes URLs/browser history/bookmarks/Pocket/Pinboard/etc., saves HTML, JS, PDFs, media, and more...
Common categories include AI frameworks, RAG tools, data pipelines, automation scripts, scientific tooling, and backend services.
No. AI is a large part of Python momentum, but the page also surfaces backend, automation, and data infrastructure projects.
Active maintenance, rising developer attention, practical documentation, and evidence that the project is being adopted for real tasks.