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Basic Information

This repository is a curated, community-maintained index of agentic AI projects and tools collected by Slava Kurilyak. It catalogs hundreds of agent-related resources, organized into sections such as Top 10 Projects, Rising 10 Projects, and an extensive All Projects list. Each entry includes short summaries, project metadata like GitHub stars and update dates, category tags (for example Development Frameworks, Local Inference, Voice Providers, Observability, and Safety Guardrails), and links to code, docs, or demos when available. The README centralizes descriptions for a broad set of projects spanning agent frameworks, agent UIs, memory systems, tool libraries, model providers, and platform integrations. The file contains detailed notes, badges, and a star history chart, and it is actively maintained with commit history and regular updates. The primary goal is to help people discover, compare, and choose agentic AI technologies in one consolidated resource.

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Features
Comprehensive curated listings with short, factual summaries per project and visible GitHub star counts and update timestamps. Organized highlights including a Top 10 Projects and a Rising 10 Projects section to surface notable and recently active initiatives. Rich categorization tags and labels such as Development Frameworks, Local Inference, Assistants API, Function Calling, Long-Term Memory, Voice Providers, Observability, Safety Guardrails, Structured Outputs, and Web Browsing Frameworks. Per-entry links to repositories, websites, docs, demos, and announcements are provided. The README includes visual artifacts like badges and a star history chart, plus metadata such as file length and commit history. It also offers contribution guidance, a Hire Me section, and instructions to star or contribute to the list. The resource is intentionally broad, covering open-source projects, commercial platforms, SDKs, and tooling for agent development and deployment.
Use Cases
The collection serves as a one-stop discovery and comparison tool for builders, researchers, and product teams evaluating agentic AI technologies. It helps identify suitable frameworks and libraries for particular needs such as multi-agent orchestration, local model deployment, code-execution agents, or voice and phone agent integrations. Readers can quickly find project overviews, maturity signals like star counts and recent updates, and links to documentation and demos to accelerate evaluation. The categorized layout aids in locating specialist toolsets for memory, observability, safety guardrails, function calling, and UI frameworks. Maintainers and contributors can use the list to track ecosystem trends and to suggest additions or corrections. The README also points to ways to contribute, hire the curator for custom development, and view historical popularity through the star history visualization.

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