HOOKBUS AGENTBuild an agent team
Define roles, responsibilities, tool boundaries, and required handoff outputs.
HookBus Agent
Governed agent teams for regulated enterprises.
Stop relying on one-off prompts. HookBus Agent lets teams define reusable agent teams, run them against explicit goals, and keep the handoffs, files, approvals, evidence, and improvement suggestions needed for governed execution.
Use HookBus Agent when your current runtime cannot expose the lifecycle hooks governance needs. It supports fixed staged workflows and dynamic agentic loops, runs from the web console or CLI, and connects to AgentProtect when central governance is required.
Most agent runtimes do not expose a common lifecycle surface. HookBus Agent does. It is designed to support EU AI Act control areas that depend on record keeping, human oversight, transparency, and auditability.
Built for regulated enterprises that need governed execution now, not after logs, screenshots, and session history have been stitched together by audit.
How HookBus Agent Works
Define the loop once. Run it against new goals. Keep the evidence.
HookBus Agent gives teams a repeatable operating model for agentic work. The user defines the agent team and the execution goal. The runner records the selected path, handoffs, tool activity, generated files, goal checks, and review findings.
Set the goal
Every execution has a mandatory goal. The runner checks handoffs against that goal.
Choose the mode
Use a fixed staged workflow or a dynamic loop that selects the next useful agent.
Run and intervene
Launch from the web console or CLI, watch the agent path, inspect artefacts, and stop runs when needed.
Review and improve
Completed runs can suggest improvements to prompts, teams, skills, and workflow design.
Agent Loop
Agents prompting agents, with handoff and evidence.
Most agent products optimise for execution. HookBus Agent optimises for controlled execution. It supports predictable fixed workflows where the path must be known, and dynamic agentic loops where the runner reads the latest handoff, checks the goal, identifies gaps, and selects the next useful agent.
Fixed staged workflow
Use a known path when the process must be predictable, reviewable, and repeatable.
Request
Requirements
Planning
Build
QA
Risk
Deliver
Dynamic agentic loop
Use dynamic mode when the next useful step depends on the evidence produced so far. The runner checks the latest handoff against the goal and routes to the role that can close the gap. The loop stops only when the goal is achieved, blocked, impossible, or explicitly stopped.
Most agent products focus on what agents can do. HookBus Agent focuses on how organisations control, evidence, and improve what agents do.
For a CTO
Governed agents without changing your stack.
Use HookBus Agent when your current runtime does not expose the hooks governance needs. Do not use it if your runtime already surfaces full AgentHook lifecycle events and a reliable handoff loop.
What this means technically
- Deploy repeatable agent loops instead of unmanaged one-off prompts.
- Surface every significant action before execution so it can be gated rather than discovered after the fact.
- Every prompt, handoff, tool call, approval, denial, output, and file is recorded as evidence.
- Runs on desktop, team server, VPC, on-prem, or air-gapped environments.
- Governance is independent of model choice.
Concrete example
An agent team needs to update a production ticket.
HookBus Agent captures the request, hands it through the agent loop, emits the action event, and surfaces the approval point. With AgentProtect connected, policy checks the action, approval is routed, and the user can approve, deny, or ask for changes. The evidence is recorded either way.
What hooks are
Hooks are the control points where governance can attach.
A hook is a visible point in the agent lifecycle where the runtime emits an event or pauses for a decision. The difference is simple: without hooks, governance looks backwards. With hooks, governance sits in the path before the action completes.
Without hooks
The agent is a black box. Work happens, then control teams try to piece the story together afterwards.
Agent runs
plan, tool call, file change, output
Ticket changed
File written
API called
Money spent
Governance arrives after the fact, using logs, files, session history, and side effects.
With hooks
The runtime exposes the important moments. Each hook gives governance somewhere to inspect, block, approve, notify, or record.
Request hookWho asked, what they asked, context
CAPTURE
Plan hookWhat the agent intends to do
REVIEW
Tool hookAction, resource, scope, risk
CHECK
Approval hookApprove, deny, ask, escalate
PAUSE
Evidence hookDecision trail, output, artefacts
RECORD
PolicyAgentProtect can decide before the action runs.
ApprovalHuman control happens in the runtime path.
EvidenceAudit gets a replayable record, not loose logs.
PortabilityGovernance is not locked to one model or one agent.
Hooks turn agent activity into governed, inspectable, enforceable execution.
Product Demo
Video walkthrough and live agent-team flow.
The walkthrough shows HookBus Agent in use with safe demo data, visible handoff paths, validation loops, progress, and evidence trails.
HookBus Agent product walkthrough
Governed agent teams, evidence, and review loops
Evidence and Artefacts
Every run leaves a record the organisation can inspect.
HookBus Agent does not just return an answer. It keeps the run history, selected agent path, handoff markdown, generated files, test evidence, goal checks, review findings, and self-improvement suggestions that explain how the output was produced.
Run history
Every execution is recorded with status, selected team, goal, model, timestamps, and replayable handoff state.
Handoff artefacts
Each agent produces structured markdown with evidence, risks, open questions, acceptance coverage, and next handoff.
Files and downloads
Generated CSVs, reports, code, screenshots, and other outputs are stored as run artefacts with usable paths.
Self-improvement
Completed runs can be reviewed against the request and goal to suggest improvements to the saved agent team.
The output is useful. The evidence trail is what makes the work governable.
Operational example
A repeatable agent team, not another unmanaged chat session.
A regulated team can define the workflow once, run it against a new request, and retain the evidence needed to explain what happened, who approved it, what changed, and how the next run should improve.
1. Define the team
Set the roles: intake, research, analysis, delivery, verification, and improvement. Each agent has a narrow job and a structured handoff requirement.
2. Execute with controls
The run emits lifecycle hooks for prompts, handoffs, tool calls, files, approvals, and final output. Governance can observe, pause, approve, deny, or ask for changes.
3. Keep the evidence
The organisation keeps a replayable record: request, context, decisions, outputs, artefacts, approval status, and self-improvement suggestions for the saved agent team.
The enterprise value is repeatability, control, and evidence. The output is only the visible end of the governed run.
The simple version
Keep your existing runtime where it exposes the hooks governance needs. Use HookBus Agent where it does not.
For a CTO, the buying decision is simple: keep the agent estate you already trust where it can emit the right hooks. Deploy HookBus Agent where you need a governed runtime that surfaces the full lifecycle from day one, then connect those agents to AgentProtect when the organisation needs central control.
HookBus Agent
The commercial hook-complete runtime your users run when existing agents cannot expose the control points. It can execute work, call tools, run reusable agent teams, capture evidence, and surface approval points for AgentProtect.
Governance events
Runtime actions, tool calls, handoffs, approvals, files, and evidence are captured as the agent works, not reconstructed afterwards.
AgentHook
The open event and evidence standard HookBus Agent aligns to, so governance is not locked to one model or one agent runtime.
AgentProtect
The central control plane for policy, approvals, audit exports, fleet visibility, and enterprise integrations.
Buying ladder
What each layer is for.
Existing agent runtime
HookBus Agent
AgentProtect
Keep it when it can emit the lifecycle hooks governance needs.
Governed execution locally. Agent teams, goals, handoffs, evidence capture, approval points, replay, and notification paths.
Central governance. Shared policy, AgentProtect enforcement, approval routing, fleet visibility, audit exports, SIEM and DLP integration.
Best where your current agent can be shimmed or already exposes AgentHook-compatible events.
Right first purchase when you need a governed runtime now.
Right upgrade when multiple teams, regulators, security, and audit need one control plane.
Get started
Deploy governed agents from day one.
Pricing and licensing depends on your deployment. Contact us to discuss options.