The multi-agent framework where agents have roles and collaborate as a crew — plus a platform to run them in production.
Python
The Python language, its runtime and the wide library ecosystem built on it.
9 apps, 5 skills and 3 MCP servers tagged Python.
Apps
The framework and observability platform most teams use to build, debug, and ship LLM agents.
Document parsing and retrieval built for agents — turn messy PDFs into structured, queryable context.
Open-source LLM observability — trace, evaluate, and improve AI applications with production data.
The standard experiment tracker for machine learning, now with tracing and evaluation for LLM applications.
Serverless GPUs from a Python decorator — deploy models and batch jobs with no containers or cluster to manage.
The embedding database that starts as a Python import and grows into a distributed cloud service.
Secure cloud sandboxes where AI agents can run untrusted code safely, starting in milliseconds.
Interactive coding courses with an AI tutor, covering Python, JavaScript, React, SQL and AI-assisted development through structured career paths.
Skills
Official AWS skill for authoring, deploying and debugging CDK stacks — construct patterns, bootstrap, drift, resource import and the CloudFormation errors that trap people.
Build Gradio web UIs and ML demos in Python with the current API — components, layouts, events, and chat interfaces.
Skill: Django Performance Review
by Sentry
Sentry's Django performance review skill — hunts N+1 queries, unbounded querysets, missing indexes and write loops, and reports only findings it can prove.
Skill: Data Visualization
by Anthropic
Anthropic's official data-visualization skill: pick the right chart for the data, then build it with ready-to-run matplotlib, seaborn, and plotly patterns.
Skill: MCP Builder
by Anthropic
Anthropic's guide for building high-quality MCP servers end to end — research, tool design, implementation in TypeScript or Python, testing, and a 10-question evaluation suite.
MCP servers
Drive live Jupyter notebooks from an agent — read and edit cells, execute code, see rich outputs, and run against local JupyterLab or a cloud sandbox.
Run AI-generated code safely in an isolated cloud sandbox, with results returned as data rather than text.
Okta's official open-source MCP server: manage users, groups, apps, policies and branding in your Okta org from an AI agent, with scope-gated tools and confirmation on destructive actions.
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