awesome-web-agents and awesome-ai-agents-2026

These are competitors—both are curated lists of AI agent tools and frameworks serving the same discovery purpose, though A has significantly more community validation (1,288 vs 54 stars) while B claims more comprehensive coverage (300+ resources across 20+ categories).

awesome-web-agents
69
Established
Maintenance 23/25
Adoption 10/25
Maturity 16/25
Community 20/25
Maintenance 13/25
Adoption 8/25
Maturity 9/25
Community 18/25
Stars: 1,288
Forks: 129
Downloads:
Commits (30d): 22
Language: Python
License:
Stars: 54
Forks: 15
Downloads:
Commits (30d): 0
Language:
License:
No Package No Dependents
No Package No Dependents

About awesome-web-agents

steel-dev/awesome-web-agents

🔥 A list of tools, frameworks, and resources for building AI web agents

Organizes web agent tools across multiple categories—autonomous browsers, automation frameworks, web scrapers, search integrations, and benchmarks—providing both production-ready solutions and research prototypes. Covers diverse architectures from vision-enabled agents using DOM distillation to multi-agent systems with parallel task execution and LLM flexibility. Includes implementations targeting various platforms (Chrome extensions, APIs, self-hosted libraries) and frameworks like Anthropic's Computer Use, Microsoft Autogen, and Steel's browser API.

About awesome-ai-agents-2026

caramaschiHG/awesome-ai-agents-2026

🤖 The most comprehensive list of AI agents, frameworks & tools in 2026. 300+ resources · 20+ categories · Updated monthly.

Organizes 300+ AI agent tools across specialized domains—coding, frameworks, browser automation, voice, creative, workflow, CRM, research, and self-hosted solutions—with structured categorization by capability rather than just listing resources. Covers emerging categories like multi-agent platforms, safety guardrails, cybersecurity agents, and industry-specific protocols/standards, plus market statistics and learning resources. Community-driven with monthly updates and PR-based contributions, enabling developers to discover tools matched to specific use cases rather than navigating fragmented documentation.

Scores updated daily from GitHub, PyPI, and npm data. How scores work