autogen plugins

The directory indexes 3 plugins tagged “autogen” from 2 public source repositories, with 12 skills and 8 MCP servers across the collection.

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aws-startup-advisor
by Amazon Web Services
Personalized AWS guidance built on patterns from 350,000+ startups—architecture, cost, security, and migration, from day-one account setup to production-ready infrastructure. Migrate to AWS from GCP or Heroku—including your entire AI stack: OpenAI/Gemini/Anthropic SDK rewrites to Amazon Bedrock, agentic systems (LangChain, CrewAI, AutoGen) to AWS-native runtimes, and Temporal workers. Includes AWS Activate credits eligibility and 60+ exclusive startup offers. Built by AWS Startup Solutions Architects, with multi-account, multi-region support.
CodexClaude Code7 Skills4 MCP serversstdioStreamable HTTP
19Updated yesterday
migration-to-aws
by Amazon Web Services
Migrate from GCP or Heroku to AWS — including your entire AI stack. Moves infrastructure (Cloud Run → Fargate, Heroku Dynos → Elastic Beanstalk by default with Fargate/EKS overrides, databases → RDS/Aurora), OpenAI/Gemini workloads to Amazon Bedrock, and agentic systems (LangChain, CrewAI, AutoGen, OpenAI Agents SDK) to AWS-native frameworks. Generates runnable Terraform, migration scripts, provider adapters, and deployment artifacts. Gives honest model-by-model pricing comparisons so you know exactly when Bedrock saves money and when it doesn't.
CodexClaude Code2 Skills4 MCP serversstdioStreamable HTTP
19Updated yesterday
ai-agent-engineering
by Matt Corbett
AI agent-engineering team — agents (agentic-systems-architect, agent-implementation-engineer) for BUILDING production agentic systems: hard TRIAGE (most tasks win as a fixed workflow or a single LLM call, not an agent), single-vs-multi-agent topology, framework selection (LangGraph / OpenAI Agents SDK / CrewAI / AutoGen / Claude Agent SDK), tool & function design, context/memory/state management, planning & reflection loops, human-in-the-loop, guardrails, cost/latency budgets, tracing/observability, and agent EVALS (trajectory, tool-use, task-completion). skills, a knowledge bank, and templates. Engineering judgment, not a demo; the framework/model/API landscape is volatile — every version carries a retrieval date + [verify-at-use]. Distinct from ai-rag-engineering (retrieval), prompt-engineering (single-call prompt craft), llm-evaluation-engineering (general eval harnesses), and claude-app-engineering (Claude product apps). Needs ravenclaude-core.
Claude Code3 Skills
7Updated last week