A2AC extends the A2A protocol with what's missing: cryptographic receipts, shared memory, and token compression. Connect any agent, any model, any platform into one verifiable coordination layer. A2A compatible. Communication cost approaches zero.
A2AC builds on Google's A2A protocol standard with a coordination layer that adds cryptographic verification, compressed communication, and shared agent memory. Every interaction becomes a self-verifying cube.
Register your systems: Salesforce, Azure, Google Cloud, local tools, AI models. A2AC maps everything into a unified registry. Every system gets a verified identity.
REGISTRY // CONNECTEDRun workflows across connected systems. A2AC routes intent to the right tool, model, or agent. Every execution produces a cryptographic receipt. Proof of what happened.
RECEIPTS // IMMUTABLEAs agents share structure, communication cost approaches zero. The system learns patterns, anticipates needs, and resolves from memory before executing. This is K→0.
K→0 // ACHIEVEDA2AC is not a framework. It is infrastructure. The layer underneath that makes all AI systems work together, remember, and prove what happened.
Validate Q-Protocol agent definitions for structure and correctness. Every cube is compressed (GZIP), content-hashed (SHA-256), and verification-signed (BLAKE3). Self-verifying by design.
Vertex AI powered semantic memory. Agents store and recall context across sessions using vector embeddings. Memory is re-entry, not storage. It reorients the present, not recreates the past.
Immutable blockchain-style record of all agent transactions. BLAKE3 hashed blocks with proof-of-work validation. Every action, every workflow, every handoff. Recorded and verifiable forever.
Built on Google's Agent-to-Agent (A2A) protocol. Discoverable via /.well-known/agent.json. Register agents with typed capabilities, constraints, and verified identities. Interoperable with any A2A-compatible agent across any platform.
Control plane at A2AC. Data plane in your GCP project. Your data stays in your project. Clean separation, full auditability, zero data leakage. Deployed via Terraform.
StartQ boots the session. Loads rules, calibrates agents, checks brain health. EndQ closes it. Persists state, saves transcripts, backs up cubes. The next agent picks up exactly where the last left off.
Validate your existing A2A agent card or build a new one. Get a compatibility score, identity signature, and downloadable JSON. Free, forever.
A2AC runs the control plane. You run the data plane. Clean tenant separation with Google Cloud Marketplace procurement and consolidated billing.
Every security claim on this page is implemented in production code, not aspirational. We ship receipts, not badges.
Every action produces a BLAKE3-signed receipt with content hash, timestamp, source identity, and execution constraints. Tamper-evident by construction.
✓ DEPLOYEDAll endpoints secured with GCP-managed TLS 1.3 certificates. Cloud Run HTTPS ingress with automatic certificate rotation. No plaintext communication.
✓ DEPLOYEDAll credentials stored in Google Cloud Secret Manager. Zero hardcoded keys in source code. Runtime injection via service account bindings only.
✓ DEPLOYEDEach Cloud Run service operates under a dedicated service account with minimal role bindings. No default service account usage. Workload Identity Federation for cross-tenant auth.
✓ DEPLOYEDFirestore, Cloud Storage, and BigQuery data encrypted at rest using Google-managed encryption keys. Customer-managed encryption keys (CMEK) available for enterprise tier.
✓ DEPLOYEDEvery agent action, workflow execution, and state transition is written to an append-only ledger with BLAKE3 block hashing and proof-of-work validation. Stored in customer's own BigQuery.
✓ DEPLOYEDCloud Armor WAF policies, VPC Service Controls perimeter, Binary Authorization for container images, and Data Access audit logging are in active development. SOC 2 Type II audit engagement planned for Q3 2026.
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A2AC coordinates agents regardless of the underlying model. Default infrastructure uses Google Vertex AI exclusively.
Agent reasoning and workflow coordination via Vertex AI.
VERTEX AIComplex multi-step analysis and synthesis tasks.
VERTEX AISemantic search and agent memory vector embeddings.
VERTEX AIDomain-specific agent intent classification.
VERTEX AI TUNINGWe build infrastructure for AI coordination. Not frameworks. Not wrappers. The connective tissue that makes all AI systems work together, remember, and prove what happened.
A2AC is available on Google Cloud Marketplace. Contact us for a pilot program or enterprise deployment.