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AutoGen (AG2) vs LlamaIndex

AutoGen (AG2) scores higher on the AgentReady, 53/100 against 52/100. They differ on 8 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

AutoGen (AG2). AG2 (formerly AutoGen) is an open-source multi-agent AI framework and AgentOS for building, orchestrating, and evolving systems of AI agents.

LlamaIndex. LlamaIndex provides document parsing and extraction tools that turn complex documents into AI-ready context.

Where AutoGen (AG2) is ahead

AutoGen (AG2) passes clear canonical domain, clear product positioning and mcp discoverable, and LlamaIndex does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds adopt: mcp integration available. LlamaIndex misses it.

Where LlamaIndex is ahead

LlamaIndex passes structured api reference and limits / constraints documented, and AutoGen (AG2) does not. That is understand, whether an agent can read the docs and work out how the API behaves before calling it.

It also holds adopt: self-service signup and fast time to first request. AutoGen (AG2) misses those.

What neither does

Both fail openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, no mandatory sales call, programmatic credential creation, cli available, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified. If your agent needs any of those, you will be building it yourself either way.

Score, pillar by pillar

The AgentReady splits into four pillars, scored separately, because a product can be easy to find and still impossible to adopt.

Discover is whether an agent can find the product at all without being told it exists. AutoGen (AG2) leads 100 to 67. AutoGen (AG2) misses nothing; LlamaIndex misses clear canonical domain, clear product positioning, mcp discoverable.

Understand. LlamaIndex leads 46 to 23. AutoGen (AG2) misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; LlamaIndex misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented.

Adopt. LlamaIndex leads 60 to 55. AutoGen (AG2) misses self-service signup, no mandatory sales call, programmatic credential creation, fast time to first request, cli available; LlamaIndex misses no mandatory sales call, programmatic credential creation, cli available, mcp integration available.

Operate. Both sit at 35/100 here. AutoGen (AG2) misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; LlamaIndex misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

AutoGen (AG2) does not publish a machine-readable starting price and has a free tier. LlamaIndex starts at $0/mo and has a free tier.

Signal by signal

Which to pick

Signal counts are level here, so fit and price decide it. Full profiles: AutoGen (AG2) and LlamaIndex. Alternatives to each: AutoGen (AG2), LlamaIndex.

An agent can fetch this as data: POST /v1/compare {"slugs": ["ag2", "llamaindex"]}