No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by aloth · MCP Server · ★ 57
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-ai-agents safe to install? View the security audit →
Awesome AI Agents A curated list of AI agent frameworks, tools, platforms, research papers, and resources. AI Agents are autonomous systems that use LLMs to reason, plan, and take actions. This list tracks the rapidly evolving ecosystem. Contributing: Want to add a project? Open a suggestion or submit a PR directly. Contents Frameworks & Libraries Platforms & Low-Code Agent Infrastructure Evaluation & Testing Safety & Governance Research Papers Tutorials & Courses Use Cases & Case Studies Community Frameworks & Libraries Multi-Agent Orchestration AG2 — Successor to AutoGen. Multi-agent framework with improved APIs. Agent Swarm — Multi-agent orchestration for AI coding assistants (Claude Code, Codex, Gemini CLI). Lead/worker coordination with Docker isolation, compounding memory, and Slack/GitHub integration. AgentField — Open-source control plane that makes AI agents callable as microservices. Routing, coordination, memory, async exe
| Stars | 57 |
| Forks | 70 |
| Category | MCP Server |
| License | CC0-1.0 |
| Quality Score | 55.868144903143/100 |
| Open Issues | 17 |
| Last Updated | 2026-09-30 |
| Created | 2026-02-18 |
| Platforms | mcp |
| Est. Tokens | ~12k |
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awesome-ai-agents is A curated list of AI agent frameworks, tools, platforms, research papers, and resources. It is categorized as a MCP Server with 57 GitHub stars.
You can find installation instructions and usage details in the awesome-ai-agents GitHub repository at github.com/aloth/awesome-ai-agents. The project has 57 stars and 70 forks, indicating an active community.
awesome-ai-agents is released under the CC0-1.0 license, making it free to use and modify according to the license terms.
The top alternatives to awesome-ai-agents on Agent Skills Hub include awesome-AI-toolkit, c4-genai-suite, riseofmachine. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: