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HyperAgent
HyperAgent is Hyperkit's AI-native workflow system for multi-chain smart contract delivery. The Hyperkit whitepaper (v1.2.0) positions it as the control plane that reduces coordination cost across specification, generation, audit, simulation, and deployment. This site summarizes that model and matches the public HyperAgent repository README for product scope and stack claims.
What is HyperAgent?
HyperAgent is not framed as a single chat assistant. It is a structured workflow: Studio captures intent and project state, the gateway enforces tenant and request boundaries, the orchestrator orders stages, and backend services produce verification output and deployment preparation. The product thesis in v1.2.0 is workflow unification, not removal of every chain-specific adapter.
Strategic model
Hyperkit's strategy documents separate research-backed workflow pain from internal build milestones. The falsifiable hypothesis in the whitepaper is that high-fit teams lose meaningful time or budget reconciling disconnected tools across the delivery path. HyperAgent is the system answer: one orchestrated pipeline with explicit gates instead of ad hoc handoffs.
Scope honesty
Key capabilities
Orchestrated workflow
Specification through design, codegen, audit tooling, Tenderly simulation, deploy, and monitoring stages when enabled
Verification path
Static analysis and simulation as release-relevant stages, not optional extras
BYOK for LLMs
User-supplied provider keys in an isolated configuration path for workloads
Payments and AA
Thirdweb surfaces for ERC-4337, EIP-7702, and x402 payment walls on supported flows
Durable control plane
Runs, steps, logs, and provenance for recovery and auditability
Studio surfaces
Dashboard, workflows, contracts, deployments, settings, payments on supported SKALE Base flows
Four-layer architecture
The whitepaper table defines four layers: client, gateway, orchestrator, and backend services. The diagram below is a high-level rendering of the same separation of concerns.
Layer reference
- Client: Studio workspace, Next.js UI, CLI and SDK-style surfaces for project intake and artifact review.
- Gateway: API edge, JWT authentication, routing, and status handling for tenant isolation.
- Orchestrator: LangGraph workflow engine, agent routing, queue-backed job control for stage sequencing.
- Backend services: Slither, Mythril, Tenderly, storage, observability, deployment adapters.
Runtime shape
The HyperAgent README describes a microservice-oriented layout: agents are services with explicit schemas, coordinated through Agent2Agent (A2A) patterns and ERC-8004-compatible registries where deployed. That runtime picture sits inside the orchestrator and backend layers above. It complements, rather than replaces, the four-layer strategic diagram.
Representative pipeline (from upstream docs): SpecAgent with versioned spec lock, design and proposal agents, CodegenAgent, autofix and audit agents (Slither, Mythril, MythX, Echidna), TenderlySimAgent, DeployAgent, VerifyAgent, MonitorAgent. Exact availability depends on your deployment and capability flags.
Quick start
Clone the HyperAgent monorepo and run Studio locally (from the upstream README):
1. Clone and install
git clone https://github.com/Hyperkit-Labs/hyperagent.git
cd hyperagent
pnpm install2. Environment
Copy the sample env file from the repo, then set at least:
# Examples from upstream README
NEXT_PUBLIC_THIRDWEB_CLIENT_ID=...
NEXT_PUBLIC_API_URL=http://localhost:40003. Start Studio
pnpm --filter hyperagent-studio devOpen http://localhost:3000. Run the optional API or Docker backend when you need full workflow calls.
Canonical build and honesty notes: github.com/Hyperkit-Labs/hyperagent