awesome-automated-ai vs awesome-agent-almanac
Curated directories for AI and agent tools compared
awesome-automated-ai catalogs tools across the machine-learning lifecycle, including AutoML and LLM workflows. awesome-agent-almanac focuses on AI agents and supporting technology, including frameworks and MCP servers, organized by domain.
awesome-automated-ai: Browse a Weekly-Refreshed AI/ML Tools Catalog
A TypeScript-powered catalog of tools for automated AI and machine learning, from AutoML and hyperparameter optimization to LLM agents. Browse 356 curated entries across 25 categories in its interactive site or GitHub README.
awesome-agent-almanac: Browse AI agents and agent tools
A categorized directory of AI agents, agent frameworks, MCP servers, and related projects. Use it to discover tools across development, research, creative work, infrastructure, and other agentic domains.
| awesome-automated-ai | awesome-agent-almanac | |
|---|---|---|
| Language | TypeScript | — |
| Stars | 5 | 3 |
| Forks | 2 | 4 |
| Last analyzed | Nov 9, 2026 | Oct 3, 2026 |
Key differences
- awesome-automated-ai lists 356 entries across 25 categories; awesome-agent-almanac organizes agent-related projects into domain categories.
- awesome-automated-ai spans training, evaluation, monitoring, and deployment as well as agents; awesome-agent-almanac centers on agent applications, frameworks, infrastructure, and MCP servers.
- awesome-automated-ai is built with TypeScript and offers an interactive site alongside its README; awesome-agent-almanac is presented as a community-curated directory of links and descriptions.
- awesome-automated-ai refreshes its catalog weekly using live GitHub data and displays activity indicators for many entries; awesome-agent-almanac describes its listings as curated and does not independently verify project maintenance or suitability.
- awesome-automated-ai includes both open-source projects and commercial platforms; awesome-agent-almanac lists projects with their own setup, requirements, and licensing.
- awesome-automated-ai has recent commits and releases, with contributions concentrated among one person; awesome-agent-almanac is newly created and described as an evolving resource.
Choose awesome-automated-ai if you…
- need to compare tools across the broader machine-learning lifecycle, from AutoML to deployment.
- want weekly refreshed GitHub data and project activity indicators to help evaluate listed tools.
- are looking for an interactive catalog as well as a README.
Choose awesome-agent-almanac if you…
- want to browse agent projects by domains such as coding, research, creative work, and infrastructure.
- need a dedicated category for MCP servers or agent evaluation resources.
- are surveying agent frameworks, applications, and supporting infrastructure in one directory.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.