ИИ-агенты
deer-flow
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message…
★ 83,4 тыс. звёздMIT
Смотреть руководство →strix — проект с открытым исходным кодом из категории «ИИ-агенты» от usestrix (usestrix/strix на GitHub). У него 66 343 звезды на GitHub и 7 273 форка, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 3 октября 2026.
Open-source AI penetration testing tool to find and fix your app’s vulnerabilities.
Research, coding, browsing, or ops — agents work best with a clear goal.
From no-code builders to code-first SDKs, match complexity to the task.
Web search, code execution, and APIs are what make agents useful.
Watch the trace, approve consequential actions, iterate.
Specialized agents collaborate on bigger jobs.
Agents call real tools: browsers, terminals, APIs.
Benchmarks keep agent quality measurable.
Run agents on your infra with your keys.
Swap frontier models as better ones appear.
Traces show exactly what the agent did and why.
Download the source and move into the project folder.
git clone https://github.com/usestrix/strix.git
cd strixEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at usestrix/strix with 7,273 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed — commercial use allowed with attribution.
Sandboxing, approval gates, and least-privilege credentials.
Builders exist, but code-first frameworks go further.
Model API bills dominate; self-hosted stacks cut that sharply.
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message…
Make humans and AI agents work as one team — open-source and self-hostable.
An agentic skills framework & software development methodology that works.
JADX plugin + MCP server that lets LLMs analyze Android APKs live — decompile, review, find vulnerabilities
Autonomous AI agents for penetration testing — self-hosted, multi-agent, with a full web UI
Automated penetration-testing agent framework powered by LLMs, published at USENIX Security 2024.
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если strix вам не подходит.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к strix — продолжайте изучать полку по обе стороны от него.
Drop-in persistent memory infrastructure for AI agents and apps.
A programming framework for agentic AI
Convert PDFs, DOCX, and HTML into clean, AI-ready documents.
The best-benchmarked open-source AI memory system. And it's free.
A coding agent tuned for open models like Kimi, GLM, DeepSeek, and Qwen.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work…
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.