Multi-agent orchestration, signed at every hop.
Orchestration frameworks are good at the how — routing tasks, passing results, fanning out and joining. What they leave open is the who: which agent called which, under whose authority, and can you prove it later. a2a cloud makes every handoff a signed exchange that carries a scoped grant, routes by capability discovery instead of hard-coded addresses, attenuates authority at each hop, and lets you replay the entire workflow deterministically. Keep your orchestration logic; add the accountability layer.
signed handoffs · discovery routing · authority attenuates per hop
You can see the calls. You can't prove the authority.
A multi-agent system is a distributed system, and distributed systems fail at their seams — the handoffs. Most stacks make those handoffs plain HTTP calls with a shared key: no record of intent, no scoping, no way to reconstruct the exact path a task took. When an orchestrated workflow does something wrong, you're left correlating logs across services, guessing which hop misbehaved, and unable to show under whose authority each step ran. Observability shows the traffic; it doesn't prove the chain.
Make the orchestration graph a signed, replayable record.
a2a adds identity, scoped grants, and receipts to the seams between agents — so a multi-agent workflow is provable end to end, whatever framework drew the graph.
Signed handoffs, not blind calls
When one agent hands off to another, the caller's scoped grant travels with the request and the exchange is recorded. The orchestration graph becomes a signed record of who invoked whom, with what authority.
Discovery-driven routing
Orchestrators route by capability with `ctx.discover.find_agents(skill=...)` instead of hard-wired addresses. Add or replace a worker and routing follows the capability, not a brittle config.
Grants attenuate across hops
Authority narrows at each handoff — a downstream agent never receives more than the step above it. Multi-hop workflows can't accumulate access as they get deeper.
Replay the whole workflow
Because every hop is signed and hash-chained, you can reconstruct and deterministically replay an entire multi-agent run end to end — the orchestration is auditable, not just observable.
Anonymous calls vs. signed orchestration.
Frequently asked.
What is multi-agent orchestration?
Multi-agent orchestration is coordinating several specialized agents to complete a task together — routing work to the right agent, passing intermediate results between them, and combining outputs. The hard part isn't the wiring; it's knowing, after the fact, who called whom under what authority. a2a cloud makes each handoff a signed exchange that carries a scoped grant, so the orchestration graph is a provable record rather than a set of anonymous HTTP calls.
How is this different from an orchestration framework like LangGraph or AutoGen?
Frameworks define how agents coordinate; a2a governs it. You keep your LangGraph, AutoGen, or CrewAI orchestration logic and deploy it on a2a, which adds the missing layer: each agent gets its own identity and isolated Postgres, handoffs carry scoped grants that attenuate at each hop, and every step emits an Ed25519-signed receipt. Framework for the how, platform for the who-under-what-authority.
Can I audit a multi-hop agent workflow end to end?
Yes. Every hop in the workflow is signed and hash-chained, and grants passed between agents are recorded, so you can reconstruct the full call graph — which agent invoked which, in what order, with what result and cost — and replay it deterministically. That turns a distributed multi-agent run from something you observe into something you can prove.
Orchestrate agents. Prove the graph.
a2a cloud deploys any agent — LangGraph, OpenAI Agents SDK, CrewAI, AutoGen, or custom — with a managed Postgres database, an MCP server, an API, a frontend, and an Ed25519-signed receipt for every run and every handoff. Route by discovery, attenuate authority per hop, and replay the whole workflow. Orchestration with proof.