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AutoGen (AG2) vs Electric Sql

AutoGen (AG2) scores higher on the AgentReady, 53/100 against 42/100. They differ on 9 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.

Electric Sql. Electric is an agent platform built on sync, providing managed agents, streams, and a sync engine for building multi-agent systems and local-first apps.

Where AutoGen (AG2) is ahead

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

It also holds adopt: agent-compatible signup flow and mcp integration available. Electric Sql misses those.

And on operate, observable execution. Electric Sql misses it.

Where Electric Sql is ahead

Electric Sql passes self-service signup, fast time to first request and cli available, and AutoGen (AG2) does not. That is adopt, whether an agent can get a key and make its first successful call without a human in the loop.

What neither does

Both fail structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, no mandatory sales call, programmatic credential creation, 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; Electric Sql misses clear canonical domain, clear product positioning, mcp discoverable.

Understand. Both sit at 23/100 here. 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; Electric Sql misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Both sit at 55/100 here. AutoGen (AG2) misses self-service signup, no mandatory sales call, programmatic credential creation, fast time to first request, cli available; Electric Sql misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, mcp integration available.

Operate. AutoGen (AG2) leads 35 to 24. AutoGen (AG2) misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Electric Sql misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified.

Pricing

AutoGen (AG2) does not publish a machine-readable starting price and has a free tier. Electric Sql starts at $1 per 1M writes and has a free tier.

Signal by signal

Which to pick

AutoGen (AG2) clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: AutoGen (AG2) and Electric Sql. Alternatives to each: AutoGen (AG2), Electric Sql.

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