ИИ-агенты
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Open-Source Frontier Voice AI
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Смотреть руководство →Anthropic-Cybersecurity-Skills — проект с открытым исходным кодом из категории «ИИ-агенты» от mukul975 (mukul975/Anthropic-Cybersecurity-Skills на GitHub). У него 33 752 звезды на GitHub и 4 089 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 31 августа 2026.
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fr…
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.
Large language models drive its smartest features, locally or via API.
Swap frontier models as better ones appear.
Traces show exactly what the agent did and why.
Approval gates for actions that matter.
Long-term memory across sessions, not goldfish chat.
Specialized agents collaborate on bigger jobs.
Download the source and move into the project folder.
git clone https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git
cd Anthropic-Cybersecurity-SkillsEvery 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 mukul975/Anthropic-Cybersecurity-Skills with 4,089 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed — commercial use allowed with attribution.
For bounded tasks with supervision, yes. Fully autonomous money-moves still need guardrails.
Sandboxing, approval gates, and least-privilege credentials.
Builders exist, but code-first frameworks go further.
Open-Source Frontier Voice AI
Open-source foundation of ToolJet AI - the enterprise app generation platform for internal tools, dashboards, business applications, workflows and AI agents.…
TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill,…
Agent-native memory infrastructure - structured, persistent memory for production agents
Google's MCP Toolbox for Databases - give agents safe, structured access to your data
MCP server letting AI agents run 150+ cybersecurity tools for authorized pentesting and research.
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если Anthropic-Cybersecurity-Skills 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 Anthropic-Cybersecurity-Skills — продолжайте изучать полку по обе стороны от него.
A high-performance vector search engine for next-gen AI.
A Claude Code-style coding agent that runs anywhere and works with almost any model provider
Your personal AI assistant — self-host it, chat anywhere, extend everything.
GitHub's official MCP server — let AI tools work with repos, issues and pull requests
High-performance serving for the LLMs that power your agents.
Build and run agents you can see, understand and trust — framework plus a visual agent service
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.