AI app for it and development · no coding needed
Multi-agent coordination and governance portal
Reduce coordination overhead and ungoverned agent actions while keeping humans in control.
Made for: Engineering and operations teams running multiple AI agents alongside human staff
What it does for you
The problem
Agents from different frameworks cannot share context or be governed in one place, so coordination, policy enforcement and audit are manual and fragmented.
What it gives you
Reviewed coordination record linked to each workflow
What you give it
Agent registrationsframework adapterspolicy rulesworkflow definitions
Build your own version of BAND, Mozaik and more
One app with what these 5 AI tools do, yours to keep and change: BAND, Mozaik, Opencontroller by lyzr, A2A Protocol, Khorus.
Everything these tools do, in one app
- Agent-to-agent communication Lets multiple AI agents exchange messages, data, and reasoning directly with each other.Found in BAND, Mozaik, Khorus
- Human-in-the-loop participation Treats people as first-class participants who can join, observe, and intervene in agent conversations.Found in BAND
- Persistent shared context Keeps context across sessions so agents can resume work and build on prior interactions.Found in BAND, Mozaik, Khorus
- Runtime self-organization Allows agents to decide dynamically how to collaborate during execution without a predefined workflow graph.Found in Mozaik
- Structured event messaging Sends events with structured context items and participant IDs so agents interpret intent precisely.Found in Mozaik
- Framework-agnostic connectivity Links agents from different systems, frameworks, and custom builds into the same flow.Found in BAND, Khorus
- Pluggable memory backends Lets developers wire in their own storage for persisting participant context.Found in Mozaik
- Concurrent async execution Runs agents non-blocking so they handle many parallel processes without polling loops.Found in Mozaik
- Inline policy enforcement Checks and blocks calls that violate rules in the request path rather than only logging them.Found in Opencontroller by lyzr
- Self-hosted deployment Deploys into your own infrastructure under your own keys without an external registry dependency.Found in Opencontroller by lyzr
- Agent and workflow discovery Finds agents, models, and workflows across clouds, SaaS, Kubernetes, and devices.Found in Opencontroller by lyzr
- Real-time monitoring Tracks usage signals in real time and can convert them into actions.Found in Opencontroller by lyzr, A2A Protocol
- Governance and audit trail Provides traceable records of coordination, escalation, and execution for troubleshooting and compliance.Found in BAND, Opencontroller by lyzr, Khorus
- Automated API integration Connects applications and services without extensive coding.Found in A2A Protocol
- Real-time data synchronization Keeps information up to date across connected platforms.Found in A2A Protocol
- Customizable workflows Lets users tailor processes to match specific business needs.Found in A2A Protocol
- Secure data handling Protects data with encryption and compliance measures.Found in A2A Protocol
- On-chain verification and settlement Records and settles agent actions on-chain for transparent, auditable execution.Found in Khorus
- Agent tokenization and deployment Packages agents with specific roles and deploys them for broader distribution.Found in Khorus
How it works, step by step
- Register agents from different frameworks and custom builds
- Exchange messages, data and reasoning between agents
- Let humans join, observe and intervene in agent conversations
- Persist shared context across sessions and resumes
- Let agents self-organize collaboration at runtime
- Send structured events with context items and participant IDs
- Connect agents from different systems into one flow
- Support pluggable memory backends for participant context
- Run agents concurrently without polling loops
- Enforce policy inline and block violating calls
- Deploy self-hosted under the buyer's own keys
- Discover agents, models and workflows across clouds, SaaS, Kubernetes and devices
- Monitor usage signals in real time and convert them into actions
- Record coordination, escalation and execution in an audit trail
- Connect applications and services through automated API integration
- Synchronize data across connected platforms in real time
- Tailor workflows to specific business needs
- Protect data with encryption and compliance measures
- Record and settle agent actions on-chain for auditable execution
- Package agents with specific roles and deploy them for distribution
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed coordination record linked to each workflow with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Multi-agent coordination and governance portal with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Multi-agent coordination and governance portal with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links4 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare25 KB
- prompt-vps.mdThe same build on your own server (Docker)25 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria11 KB
- demo/index.htmlThe working demo on sample data197 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce coordination overhead and ungoverned agent actions while keeping humans in control. For engineering and operations teams running multiple AI agents alongside human staff, convert agent messages, shared context, policy rules and execution traces into a reviewed coordination record linked to each workflow. The benefit is a testable hypothesis, measured through coordinated tasks completed per operator hour and policy violations caught before execution; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect agent registrations, framework adapters, policy rules and workflow definitions, then follow this sequence: 1. Register agents from different frameworks and custom builds. 2. Exchange messages, data and reasoning between agents. 3. Let humans join, observe and intervene in agent conversations. 4. Persist shared context across sessions and resumes. 5. Let agents self-organize collaboration at runtime. 6. Send structured events with context items and participant IDs. 7. Connect agents from different systems into one flow. 8. Support pluggable memory backends for participant context. 9. Run agents concurrently without polling loops. 10. Enforce policy inline and block violating calls. 11. Deploy self-hosted under the buyer's own keys. 12. Discover agents, models and workflows across clouds, SaaS, Kubernetes and devices. 13. Monitor usage signals in real time and convert them into actions. 14. Record coordination, escalation and execution in an audit trail. 15. Connect applications and services through automated API integration. 16. Synchronize data across connected platforms in real time. 17. Tailor workflows to specific business needs. 18. Protect data with encryption and compliance measures. 19. Record and settle agent actions on-chain for auditable execution. 20. Package agents with specific roles and deploy them for distribution. Resolve uncertain cases with qualified reviewers, approve reviewed coordination record linked to each workflow, and measure coordinated tasks completed per operator hour and policy violations caught before execution against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed agent protocol version and policy set; final policy and escalation decisions remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve agent identity, source attribution, execution accuracy and usage permissions. Operators approve substantive changes and deployment scope. One fixed agent protocol version and policy set; final policy and escalation decisions remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One fixed agent protocol version and policy set; final policy and escalation decisions remain human. Implement one approved input format, a bounded representative case set and the first two task modules: register agents from different frameworks and custom builds; exchange messages, data and reasoning between agents. Support the third module with operator review: let humans join, observe and intervene in agent conversations. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Buyer-owned agent registries, framework adapters and permitted research sources. Cloud asset storage, design-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Agent and workflow registry, Live coordination board, Policy and audit console. Use a list view for registered agents and workflows, a central timeline of agent and human messages, and a right-hand panel for context items, policy state and approvals. Let users replay a session and compare runs side by side. Display running, blocked, escalated and approved states. Provide a client preview link with comments anchored to the relevant event. Make the task-specific outcome reviewed coordination record linked to each workflow visible beside its evidence, review state and value baseline.
