Explore the AI tooling ecosystem

Agents used directly to edit code and carry out development tasks.

Agents focused on a particular language, domain or kind of engineering work.

Tools for building agents or defining their execution workflows.

Multi-stage systems that orchestrate specialized agents or roles across an end-to-end software-engineering process.

Bridges, connectors and integration layers rather than standalone coding agents.

Control surfaces for running, managing and automating agents.

Reusable instruction packages, plugins and playbooks loaded by a host agent.

Chat interfaces and workspaces for local or hosted models, including applications with bundled inference.

Inference engines, serving layers, model runtimes and inference optimizations.

Frameworks and tools for training, adapting and optimizing machine-learning models.

Tools and pipelines for working with audio, images, video and multimodal interactions.

Document processing, retrieval, code indexing and persistent context infrastructure.

Tools for protecting AI applications, enforcing safeguards and handling sensitive data.

Tracing, monitoring, testing and evaluation of AI applications and agents.

Platforms and engines for connecting services, automating tasks and executing workflows.

Supporting development workspaces, UI building blocks and execution utilities.

Standards, educational material, curated directories and metadata references.