a change
mutable behavior
The agent's behavior shifts; you notice later.
a2a self-improvement
Signed run evidence plus separate version and artifact diffs around each change.
improvement you can prove
Self-improving agents you can still trust.
An agent that improves itself changes prompts, tools, or behavior between deploys. If you cannot see what changed, whether it helped, or how to undo it, self-improvement is just drift. a2a cloud signs executions on Agent API, public `/invoke`, and standard MCP `tools/call`, while version and evaluation records remain separate for comparison and rollback.
signed run evidence · version comparison · deliberate rollback · bounded authority
0
signed execution entry points
0
extra authority from self-modifying
known-good version to roll back to
the problem
An agent that changes itself is an agent you can't pin down.
Self-improvement sounds like pure upside until the agent regresses. Then the questions arrive: what exactly did it change, when, and did it help or hurt? On stacks where behavior is mutable and unrecorded, none of those have clean answers — you can't diff a prompt the agent already overwrote, you can't prove the old behavior existed, and you can't cleanly revert. Worse, a self-modifying agent with ambient credentials might improve its way into more access than you ever granted. Adaptation without a record is just uncontrolled change.
Mutable behavior means you can't diff what the agent changed.
No before-state to prove, so regressions are hard to even confirm.
Rolling back is guesswork instead of restoring a known-good version.
Self-modification with ambient keys can quietly widen access.
the a2a way
Sign those runs, compare versions, bound the authority.
a2a keeps signed execution evidence, version metadata, and scoped authority distinct — so an agent can improve without blurring what was verified or how to undo a regression.
Signed runs around each iterationEvaluate versions on the same casesRoll back to a known-good versionSelf-improvement stays inside its grant
Signed runs around each iteration
Executions on the Agent API, public `/invoke`, or standard MCP `tools/call` paths receive receipts with caller, skill, input evidence, verified grants, outcome, and timing. Tool traces, artifacts, evaluations, and version metadata remain separate records.
Evaluate versions on the same cases
Use recorded cases as an evaluation set for old and new versions. When a signed ordered session is separately created, it supports timeline inspection; deterministic re-execution still requires replay doubles and seeded randomness.
Roll back to a known-good version
Because iterations are versioned and their runs are recorded, a regression can be reviewed against a known version and reverted deliberately instead of patched from memory.
Self-improvement stays inside its grant
An agent can change how it works, but not what it's allowed to do — its scoped grant bounds authority regardless of self-modification. Improvement can't quietly become privilege escalation.
side-by-side
Uncontrolled adaptation vs. governed self-improvement.
validation
mutable behavior
Ship the new version and watch production.
a2a self-improvement
Evaluate old vs. new on the same recorded cases before shipping.
regression
mutable behavior
Guess which self-edit broke it and patch by hand.
a2a self-improvement
Restore a known version after reviewing its signed run evidence.
authority
mutable behavior
Self-modification can widen what the agent can do.
a2a self-improvement
The grant bounds authority no matter how the agent changes.
dimension
mutable behavior
a2a self-improvement
a change
The agent's behavior shifts; you notice later.
Signed run evidence plus separate version and artifact diffs around each change.
validation
Ship the new version and watch production.
Evaluate old vs. new on the same recorded cases before shipping.
regression
Guess which self-edit broke it and patch by hand.
Restore a known version after reviewing its signed run evidence.
authority
Self-modification can widen what the agent can do.
The grant bounds authority no matter how the agent changes.
questions
Frequently asked.
What are self-improving agents?
Self-improving agents adjust behavior over time—rewriting prompts, tools, or configuration based on outcomes. The risk is losing track of what changed. On a2a cloud, executions through Agent API, public `/invoke`, and standard MCP `tools/call` produce signed evidence, while iterations, evaluations, and source or deployment diffs remain separate rollback records.
How do you verify a self-improvement actually helped?
Run the previous and modified versions against the same recorded evaluation cases, then compare result previews, evaluation scores, tool behavior, timing, and the separate ledger economics. Replay sessions provide signed ordered histories for inspection. A deterministic rerun requires replay doubles for LLM and tool effects plus use of the injected random seed; automatic agent re-execution is not shipped.
Can a self-modifying agent give itself more access?
A signed grant cannot be widened by the agent that receives it; audience, TTL, and declared file or tool scope are verified externally on supported grant-backed operations. Separately configured agent secrets and local process access remain outside that grant boundary, so operators must govern those independently. Runs on the API, MCP, and /invoke entry points, not every attempted action, are signed.
keep reading
Related guides.
All guides live in the guides index.
don't trust the agent
Let it improve. Keep the receipts and the undo.
a2a cloud deploys any agent with managed Postgres, MCP and API surfaces, scoped grants, and signed ordered history. Agent API, public `/invoke`, and standard MCP `tools/call` executions receive receipts; version, evaluation, and artifact records stay separate for deliberate rollback.