Enforce
Intent becomes lifecycle Stage state. Movement is blocked until Gates are satisfied.
AI agents ship fast.
AgentSync makes them ship right.
Enforce intent to ship transitions with policy gates, decision arbitration, and replayable evidence.
For platform teams running autonomous agents in CI/CD.
- Private alpha
- API-first
- Kubernetes-ready
A control plane for autonomous delivery.
- Not a code generator.
- Not a CI replacement.
- Not another orchestration runtime.
AgentSync governs how changes move from intent to production.
Lifecycle view
One controlled path from intent to release.
Lifecycle control rail with Stage and Gate checkpoints.
How it works
Three controls in-path
Decide
Agents propose. Policy rules arbitrate. Humans override when required.
Replay
Every transition is linked to checks, approvals, and deployment evidence.
Problem
Autonomous delivery fails quietly.
You do not notice until production does.
Agents drift from original intent.
Pipelines promote without clear ownership.
Production decisions ship without traceable proof.
Incidents become reconstruction exercises.
From SDLC to ASDLC
Validate stage gates, not only code output.
ASDLC keeps the same delivery intent but adds enforceable gates and decision records at runtime.
Legacy SDLC
- Checks are mostly post-change and tool-local.
- Stage movement is often implicit.
- Decisions are scattered across systems.
ASDLC Runtime
- Each Stage has explicit Gate criteria.
- Stage transitions are policy-controlled.
- Every Decision is attached to evidence.
Canonical stages used across the page: Intent → Spec → Implementation → Checks → Deploy → Ship.
Product proof
Operational surface for governed delivery.
- Timeline binds actions to lifecycle Stage state.
- Decision cards show propose, approve, and override.
- Gates panel makes ship readiness explicit.
Deterministic transitions. Faster incident attribution.
One run: intent → checks → decision → deploy evidence.
- 1
Timeline anchors each Stage transition to evidence.
- 2
Decision cards show who approved and who overrode.
- 3
Gates panel surfaces production readiness in one view.
Core capabilities
Built for platform and release teams.
Lifecycle Control
Maintain a runtime state machine from intent to ship. Prevent unauthorized stage transitions.
Decision Governance
A2A arbitration with quorum, timeout, and override semantics. Resolve conflicts through policy.
Evidence and Replay
Audit-ready ledger linking intent, checks, approvals, and release actions for every ship decision.
Use cases
Where teams use AgentSync
Platform
Multi-agent feature delivery
Open use caseRelease
Regulated production workflows
Open use caseSecurity
Audit-ready Stage Gate control
Open use caseSRE
Autonomous incident remediation
Open use caseEnterprise posture
Built for high-accountability environments.
- RBAC
- Operator overrides
- Replayable ledger
- API-first integration
- Kubernetes-ready deployment
Public repo: github.com/keksmd/a2ahub-landing
FAQ
Common questions
Does this replace CI/CD?
No. AgentSync governs Stage Gate logic above your existing pipeline.
Does this replace coding agents?
No. It controls how their output reaches production.
Who operates it?
Platform and release teams.
How long to integrate?
Initial integration is API-level and runs alongside Jira, CI, and GitOps systems.
Control your agents before they ship the wrong change.
Join early access.