output
A meta-agent emits config or code a human must deploy.
A meta-agent deploys a live, callable agent through the platform API.
A meta-agent is only useful if what it builds actually runs. On most stacks a builder agent emits code or config and a human still has to deploy it — the automation stops at the interesting part. a2a cloud gives builders the deploy API directly: your meta-agent packages, provisions, and exposes a live child agent, finds capabilities by discovery instead of hard-coding, and leaves signed evidence for its executed runs alongside the child's deployment record.
deploy by API · discover, don't hard-code · every child an audit boundary
The point of an agent that builds agents is to close the loop — go from intent to a working agent with no human in the middle. But most frameworks let a builder produce a spec, a graph, or a snippet, then hand it back to you to deploy, isolate, and secure by hand. The children have no identity, share whatever the parent holds, and leave no record. You've automated the easy half and kept the hard half manual.
a2a exposes the same deploy, discovery, and grant primitives to a meta-agent that a human developer uses — so building an agent produces a governed, isolated, callable actor, not homework.
Your builder agent calls the same `a2a deploy` path a human would — package, provision, expose. The output isn't a config blob; it's a live agent with an endpoint, so a meta-agent can stand up working children on demand.
A builder finds capabilities with `ctx.discover.find_agents(skill=...)` rather than hard-wiring child references. It can compose existing agents or generate new ones, and the wiring is queryable, not buried in code.
Each built agent can get its own isolated Postgres and its own signed evidence on the API, MCP, and /invoke paths. One child cannot read another's database through the platform's normal scoped interfaces, and their deployment and run records stay separate.
Meta-agent skill executions on the API, MCP, and /invoke entry points receive signed caller, skill, input, verified grant, outcome, and timing evidence. Artifacts, child deployment metadata, and Agent API paid-call economics remain separate records.
A meta-agent emits config or code a human must deploy.
A meta-agent deploys a live, callable agent through the platform API.
Child references are hard-coded and go stale.
Children are discovered by skill and capability at runtime.
Built agents share a database and a blast radius.
Each built agent gets its own Postgres and signed run history.
No record of what the builder produced or why.
Signed build-run evidence sits beside separate child deployment records.
It's a meta-agent, or agent factory — an agent whose job is to generate, configure, and deploy other agents rather than to do the end task itself. On a2a cloud the builder uses the platform deploy API, so each agent it produces is a first-class deployable with its own agent card, isolated Postgres, and MCP endpoint, not a template or a code snippet a human still has to ship.
Through discovery. A builder calls `ctx.discover.find_agents(tags=..., skill=..., capability=...)` to locate existing agents by what they can do, then composes them or generates new ones to fill gaps. Because wiring happens at runtime by capability instead of hard-coded references, the resulting fleet stays queryable and doesn't rot when individual agents change.
Each child can be deployed with its own isolated Postgres, scoped delegation, and signed evidence on Agent API, public `/invoke`, or standard MCP `tools/call` executions. That keeps normal platform database access and evidence records separate, without claiming absolute isolation from arbitrary externally configured credentials.
All guides live in the guides index.
a2a cloud deploys any agent — LangGraph, OpenAI Agents SDK, CrewAI, or custom — and hands builders the same API: deploy a live child, give it isolated Postgres and MCP surfaces, scope delegation, and sign executions on the API, MCP, and /invoke entry points.