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    AI agent builder

    Build AI agentswithout writing code.

    Give an agent instructions, a model and a knowledge base. Test it, version it, share it with your team, and put it to work inside agentic workflows — all from one workspace.

    [ 97 agent tools · 8 families ]

    Start with 100 free credits. No credit card required.

    How it works

    How AI agents work in MultiverseAI

    An agent is a saved assistant with a job to do. Four decisions define it.

    A row of identical capsule-shaped units, each with a single status light — a fleet of AI agents
    1. [01]

      Write the instructions

      Give the agent a name, a description and a system prompt. Start from one of five personality presets — Professional, Casual, Technical, Friendly or Creative — or write your own, and choose concise, balanced or detailed replies.

    2. [02]

      Pick the model

      Each agent runs on the model you choose: Gemini 3 Flash by default, or Gemini 2.5 Pro, GPT-5, GPT-5.1, GPT-5 Pro or Claude 4.6 Sonnet.

    3. [03]

      Ground it in knowledge

      Assign a Context as the agent’s knowledge base. Add entries by hand, import a CSV, or split a long document into chunks — the agent reads it with every reply.

    4. [04]

      Put it to work

      Chat with it, run saved test cases against it, call it from the API, or drop it into a workflow as an AI Agent node.

    Agent tools

    97 agent tools that act, not just answer

    The MultiverseAI agent — in AI Chat, the assistant sidebar, the public API and the MCP server — works with 97 tools in 8 families. Integration tools act through the accounts you connect, and the 37 that change data or send messages wait for your approval.

    [ 12 tools ]

    Workspace

    Tasks, teams, knowledge, memories, projects and settings inside MultiverseAI.

    • manage_tasks
    • manage_teams
    • manage_contexts
    • manage_memories
    [ 13 tools ]

    Prompts & workflows

    Build, run and inspect workflows, queue prompts and schedule actions.

    • prompt_runner
    • manage_queue
    • workflow_builder
    • execute_workflow
    [ 3 tools ]

    Agents

    Manage your saved agents, spawn sub-agents and hand off to a specialist.

    • manage_agent
    • spawn_agent
    • handoff_agent
    [ 17 tools ]

    Social & messaging

    Post and reply on X, Instagram, Threads, LinkedIn, TikTok, Telegram and more.

    • social_post_scheduler
    • project_channels
    • project_channels_act
    • twitter
    [ 10 tools ]

    Ads & commerce

    Meta, TikTok and Google Ads, analytics, Shopify, Stripe and CRM.

    • facebook_ads
    • facebook_fundraiser
    • meta_catalog
    • tiktok_ads
    [ 17 tools ]

    Google, email & productivity

    Email, Docs, Sheets, Drive, Calendar, Slack, GitHub, Jira, Linear, Notion.

    • email
    • send_email
    • resend
    • angelsend
    [ 7 tools ]

    Web & research

    Search the web, scrape and capture pages, and query vector stores.

    • web_search
    • web_scrape
    • web_capture
    • firecrawl
    [ 18 tools ]

    Media, code & data

    Images, video, speech, charts, sandboxed code, file parsing and data queries.

    • generate_image
    • generate_video
    • heygen
    • tavus

    The full catalog, with every action each tool supports, is in the API docs.

    Ship with confidence

    Test, version and share your AI agents

    An agent is only useful once you trust it. Check its answers, keep its history, and hand it to the people who need it.

    • Save test cases with the keywords a good answer must contain, then re-run them after every change
    • Try prompts in a testing sandbox before you rely on the agent
    • Every save becomes a version — restore an earlier configuration in one step
    • Share an agent with a teammate or a whole team, with Use or Edit access
    • Export an agent as JSON and import it into another workspace
    • Keep agents as Draft or Published, tag them, and archive the ones you retire
    Multi-agent

    Build multi-agent workflows

    Agents do their best work as steps in a larger process. In the Workflow Builder, an AI Agent node set to a saved agent brings that agent’s instructions and knowledge base into the run.

    [01]

    Chain specialists

    Put a research agent, a writer and a reviewer in sequence — each AI Agent node runs a different saved agent on the previous step’s output.

    [02]

    Route and pause

    Condition and Switch nodes send work to the right agent, and Wait for Approval holds the run until a person signs off.

    [03]

    Delegate in chat

    In conversation, the MultiverseAI agent can spawn sub-agents for parts of a task, or hand the conversation off to a specialist persona.

    Not sure where to start? Begin from one of the workflow templates and swap in your own agents.

    For developers

    Call your AI agents from the API

    Create agents and send them messages over the public REST API with a MultiverseAI API key. The same agent answers in the app and in your code.

    GET  /v1/agents
POST /v1/agents
POST /v1/agents/{id}/chat
  { "message": "Summarise this week's support tickets" }
    FAQ

    AI agent builder questions

    Straight answers about what agents in MultiverseAI can and can’t do.

    1

    What is an AI agent in MultiverseAI?

    An agent is a saved AI assistant with its own instructions, model and optional knowledge base. You can chat with it, test it, version it, share it with your team, call it from the API, and use it as a step inside a workflow.

    2

    Do I need to write code to build an AI agent?

    No. You build an agent with a form: instructions, a personality preset, a model and a knowledge base. You can also ask the assistant in AI Chat to create or update an agent for you. The REST API is there if you want it, but it is optional.

    3

    Which AI models can my agents use?

    Agents can run on Gemini 3 Flash (the default), Gemini 2.5 Pro, GPT-5, GPT-5.1, GPT-5 Pro or Claude 4.6 Sonnet. You pick the model per agent and can change it at any time.

    4

    What tools can an AI agent use?

    The MultiverseAI agent works with 97 built-in tools in 8 families — workspace, prompts and workflows, agents, social and messaging, ads and commerce, Google and productivity, web research, and media, code and data. Integration tools act through the accounts you connect, and the 37 tools that change data or send messages ask for your approval first.

    5

    Can several AI agents work together?

    Yes. The MultiverseAI agent can spawn sub-agents for parts of a task or hand a conversation off to a specialist persona. In the Workflow Builder you can chain several AI Agent nodes, each running a different saved agent, and route between them with Condition and Switch nodes.

    6

    How much does it cost to run an AI agent?

    Every account starts with 100 free credits and no credit card. One credit is $0.01, and AI usage is billed at what the model provider charges plus 50%, so you pay for what the agent actually uses.

    Build an agent

    Your first AI agent is a few minutes away

    Write the instructions, pick a model, add what it should know. Start with 100 free credits.

    100 free credits to start
    No credit card required
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