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Stack · resolved from live tool data

AutoGen + Cloudflare AI Gateway / Workers AI + LangMem

Three layers of an agent stack, judged on the questions a vendor will not answer: can an agent set it up alone, what shape is the bill, and how much of it speaks MCP.

Orchestration

AutoGen

Microsoft's framework for multi-agent conversation, with a programming model for agents that talk to each other and tools.

  • Pricing open-source
  • Signup unknown
  • Auth unknown
  • MCP server no
  • GitHub stars 60,457
LLM / inference

Cloudflare AI Gateway / Workers AI

Free edge AI gateway (caching, rate/spend limits, observability) in front of any provider, plus Workers AI for serverless model inference.

  • Pricing freemium — AI Gateway free (pass-through, no markup); free tier 100k logs/mo; Workers AI ~$0.30/M tokens with 10k free Neurons/day
  • Signup programmatic-api
  • Auth api-key
  • MCP server yes
Memory

LangMem

Open-source SDK from LangChain that gives LangGraph agents long-term memory (extraction, search, prompt optimization) in your own store.

  • Pricing open-source — Free open-source; runs in your infra on your existing LangGraph store (Postgres/SQLite/in-memory); managed service on waitlist
  • Signup self-serve-instant-key
  • Auth none
  • MCP server no

Every field above is read from the tool directory, refreshed daily — nothing here is written per combination. Change any layer in the stack explorer, or take this one as JSON. See how the tools are moving in agent tool momentum.

Dispatches from the machines

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