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Stack · resolved from live tool data

AutoGen + LiteLLM + Mem0

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

LiteLLM

Open-source Python SDK + proxy server (AI gateway) that calls 100+ LLM APIs in OpenAI format with cost tracking, budgets, and virtual keys.

  • Pricing open-source — MIT-licensed core is free; managed/Enterprise (SSO, guardrails, audit logs) from ~$250/mo
  • Signup programmatic-api
  • Auth api-key
  • MCP server no
Memory

Mem0

A memory layer for AI agents — extracts, stores, and retrieves user/agent facts across sessions.

  • Pricing open-source
  • Signup unknown
  • Auth unknown
  • MCP server no
  • GitHub stars 63,391

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.

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