AI app for it and development · no coding needed
Multi-channel agent messaging console
Reduce integration work and unapproved agent actions while keeping one conversation history per channel.
Made for: Platform and support teams connecting AI agents to team messaging channels
What it does for you
The problem
Agents are locked to one framework and one channel, lose context between rooms, and act without review.
What it gives you
Reviewed agent presence across channels
What you give it
Agent endpointschannel credentialsper-channel memory rulesapproval policies
Build your own version of Switch, CopilotKit Channels SDK and more
One app with what these 10 AI tools do, yours to keep and change: Switch, CopilotKit Channels SDK, AgentSky, MaxClaw by MiniMax, PlugBear, Yasmine Works, Novu Connect, Clarm the AI DevRel Engineer, Oasis, Keiki.
Everything these tools do, in one app
- Multi-channel agent presence Lets an AI agent participate in conversations across messaging platforms like Slack, Teams, Discord, WhatsApp, Telegram, and email.Found in Switch, CopilotKit Channels SDK, AgentSky and 4 more
- Shared conversation context Keeps a single conversation history and context so the agent can follow along with what people have said in the channel.Found in Switch, AgentSky, Novu Connect and 2 more
- Framework-agnostic agent support Works with agents built on different frameworks and providers instead of locking you into one stack.Found in Switch, CopilotKit Channels SDK, AgentSky and 2 more
- Self-hosting option Lets teams run the software on their own infrastructure for control over data and deployment.Found in Switch, CopilotKit Channels SDK, Novu Connect and 1 more
- Per-channel memory Gives each channel or room its own separate memory and context so information doesn't leak between them.Found in Switch, Yasmine Works, Oasis
- Action approval controls Requires explicit human approval before the agent takes sensitive actions like sending email or updating records.Found in CopilotKit Channels SDK, Yasmine Works, Keiki
- Interactive UI in chat Renders buttons, forms, charts, and other UI elements inside chat messages instead of plain text.Found in CopilotKit Channels SDK, Novu Connect
- Persistent agent memory Remembers past conversations and decisions so the agent stays context-aware across sessions.Found in MaxClaw by MiniMax, Yasmine Works, Oasis and 1 more
- One-click agent deployment Launches and runs agents without setting up servers or managing infrastructure yourself.Found in AgentSky, MaxClaw by MiniMax, Oasis and 1 more
- No-code setup Connects agents to channels through a simple interface without writing code.Found in PlugBear
- Unified messaging API Routes agent messages through a single interface that handles delivery, threading, and channel formatting.Found in Novu Connect
- Identity resolution Maps a person's different channel accounts to one identity so context carries across platforms.Found in Novu Connect
- Conversation inspection Shows a full trail of messages, tool calls, and delivery status so teams can review what the agent did.Found in Novu Connect, Keiki
- Scheduled tasks Runs recurring jobs like posting a summary at a set time without manual prompting.Found in Yasmine Works
- Cited technical answers Answers technical questions in chat with repo-specific code examples and architecture diagrams.Found in Clarm the AI DevRel Engineer
- Crash recovery Restores an agent to its last saved state after a crash so long tasks don't restart from scratch.Found in AgentSky
- Shared team memory base Builds an organization-wide memory from conversations and artifacts that agents can query at runtime.Found in Oasis
- Human handoff Lets the agent pass a conversation to a person when needed.Found in Keiki
How it works, step by step
- Connect an agent to Slack, Teams, Discord, WhatsApp, Telegram and email
- Keep one shared conversation history per channel
- Support agents built on different frameworks and providers
- Run the console on the team's own infrastructure
- Isolate memory per channel or room
- Require human approval before sensitive actions
- Render buttons, forms and charts inside chat messages
- Persist agent memory across sessions
- Launch agents without managing servers
- Connect agents to channels without writing code
- Route messages through one unified messaging API
- Map a person's channel accounts to one identity
- Show a full trail of messages, tool calls and delivery status
- Run scheduled tasks such as a timed summary post
- Answer technical questions with repo-specific code examples and diagrams
- Restore an agent to its last saved state after a crash
- Build a shared team memory base agents can query at runtime
- Hand a conversation to a person when needed
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed agent presence across channels 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-channel agent messaging console 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-channel agent messaging console 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 links5 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 criteria12 KB
- demo/index.htmlThe working demo on sample data198 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 integration work and unapproved agent actions while keeping one conversation history per channel. For platform and support teams connecting AI agents to team messaging channels, convert agent endpoints, channel credentials, per-channel memory rules and approval policies into a reviewed agent presence across Slack, Teams, Discord, WhatsApp, Telegram and email. The benefit is a testable hypothesis, measured through channels connected per integration hour and unapproved agent actions per month; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect agent endpoints, channel credentials, per-channel memory rules and approval policies, then follow this sequence: 1. Connect an agent to Slack, Teams, Discord, WhatsApp, Telegram and email. 2. Keep one shared conversation history per channel. 3. Support agents built on different frameworks and providers. Resolve uncertain cases with qualified reviewers, approve reviewed agent presence across channels, and measure channels connected per integration hour and unapproved agent actions per month against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three 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 channel set and approved agent frameworks; final approval and identity checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve channel permissions, source attribution, message accuracy and usage permissions. Platform owners approve substantive changes and deployment scope. One fixed channel set and approved agent frameworks; final approval and identity checks 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 channel set and approved agent frameworks; final approval and identity checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: connect an agent to Slack, Teams, Discord, WhatsApp, Telegram and email; keep one shared conversation history per channel. Support the third module with operator review: support agents built on different frameworks and providers. 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
Team-owned agent endpoints, authorized channel credentials and permitted messaging platforms. 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: Channel and agent setup, Conversation inspector, Approval queue. Use a channel list for connected workspaces, a central thread view showing messages, tool calls and delivery status, and a right-hand panel for memory scope, identity mapping and approval rules. Let users compare agent runs side by side. Display draft, pending approval, approved and failed states. Provide a client preview link with comments anchored to the relevant message. Make the task-specific outcome reviewed agent presence across channels visible beside its evidence, review state and value baseline.
