ИИ-агенты
deepagents
The batteries-included agent harness from the LangChain team.
★ 30,0 тыс. звёздMIT
Смотреть руководство →deepseek-harness — проект с открытым исходным кодом из категории «ИИ-агенты» от deepseek-ai (deepseek-ai/deepseek-harness на GitHub). У него 245 484 звезды на GitHub и 29 409 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 3 октября 2026.
DeepSeek's plugin-based agent harness where everything is a plugin.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Tools, skills, and integrations load as plugins, not built-ins.
dsh and dsh-plugin topics hint at a packaged plugin format.
Built in TypeScript for the JavaScript-heavy agent stack.
An official project from deepseek-ai, aligned with their models.
Permissive license for commercial and open use.
Hundreds of thousands of stars signal huge community interest.
Download the source and move into the project folder.
git clone https://github.com/deepseek-ai/deepseek-harness.git
cd deepseek-harnessPull in the Node packages the project needs.
npm installTreat these as starting points - the README documents the exact commands.
npm run buildWhen the harness is settled, the discovery problem remains — Awesome AI Tools maintains a very large, 2026-updated curated list of AI tools to survey the field, and Weave from Weights & Biases helps you develop the AI-powered app itself. Also on this shelf: logfire — Pydantic Logfire: Python and AI observability on OpenTelemetry — SQL-queryable traces, metrics, and logs.
It is an open-source project at deepseek-ai/deepseek-harness with 29409 forks. Check the repo's contributors and recent commits to judge how active maintenance is.
Yes - it is MIT licensed, so you can use, modify, and distribute it freely, including in commercial projects.
The framework itself is free - but you will need a model to drive it, which usually means your own API key or a local model.
Most harnesses ship a fixed toolset; DeepSeek Harness bets on plugins for everything, which pays off if you want a modular, extensible core. If you prefer a batteries-included framework, look at the general agent frameworks in this collection instead.
Clone the repo, read the README's quickstart, and run the provided example - most projects get you to a first result in minutes.
The batteries-included agent harness from the LangChain team.
Model-agnostic marketplace of agent skills with a harness-free canonical layer.
30 runnable notebooks teaching everything about agent memory.
A harness-oriented framework for production-grade agent applications.
A framework for agent nexuses where intelligence emerges from interaction.
A coding agent tuned for open models like Kimi, GLM, DeepSeek, and Qwen.
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если deepseek-harness вам не подходит.
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Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к deepseek-harness — продолжайте изучать полку по обе стороны от него.
The agent that grows with you — a Python framework for adaptive AI agents.
Turn any website into clean, agent-ready data with one API.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The open-source platform for building and running autonomous AI agents, hosted or self-hosted
An agentic skills framework & software development methodology that works.
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete…
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