Agumbe
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Spin up a production-ready workspace in one prompt.

We generate your agent manifests, workspace, MCPs, and repos - all in an isolated environment you control.

Agent WorkloadProvision an agent runtime inside a workspace, with logs and action status in Agumbe.
✓ Agent workload per workspace
✓ MCP tools and repos auto-provisioned
✓ You control credentials and action scope

How it works

From prompt to production-ready agent - in minutes.

We turn intent into an agent workspace, approved connectors, MCP tool access, manifests, and repos you can improve over time.

1

Describe the agent you need

Tell us in plain language what work the agent should do. For example: "Triage inbound support requests and post summaries to Slack."

  • Your prompt
  • Business intent, not boilerplate
2

We infer tools and connectors

Agumbe maps the intent to tools like Gmail search, Drive read, Slack post, and workspace-scoped MCP servers.

  • Required connector detection
  • Workspace credential grants
  • Tool list generated from intent
3

Agent workload goes live

You get a deployed agent runtime in the workspace, with its manifests and agent definition versioned in one repo.

  • AgentDefinition compiled
  • MCP servers wired in
  • Action status available in Agumbe
4

Improve and promote safely

Refine goals, tools, policies, and triggers in chat, then promote a working development version to production.

  • Editable agent blueprint
  • Connector updates through grants
  • Versioned rollout path

Resources & Support

Everything you need to build, troubleshoot, and get help with Agumbe.

Documentation

Explore guides, tutorials, FAQs, and best practices for building with Agumbe.

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Community

Connect with fellow builders, ask questions, and get instant help from the community.

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Open Support Ticket

Submit a detailed support request and get personalized assistance from our team.

Open Ticket →

Frequently Asked Questions

What exactly does Agumbe generate?

Agumbe generates an agent blueprint, approved connector grants, MCP tool access, runtime manifests, policies, and a versioned agent repo for an isolated workspace you control.

Do I own the generated agent and infrastructure?

Yes. You own the generated agent definition, repository, connector configuration, and deployed workspace infrastructure.

Can I iterate on the generated agent?

Absolutely. You can request changes in natural language and Agumbe will update the agent goal, tools, policies, triggers, and repo artifacts without replacing your workspace.

How is pricing calculated?

Pricing is credit-based. Credits are consumed for blueprint generation, model usage, tool execution, and deployment runs. No forced monthly commitment.

AI Gateway

One control plane for model traffic.

Route OpenAI-compatible requests through Agumbe to enforce tenant policy, provider choice, budgets, retries, and observability before traffic reaches production users.

Explore AI Gateway
agumbe gatewayresponses
$ curl https://gateway.agumbe.ai/v1/responses \
  -H "Authorization: Bearer $AGUMBE_API_KEY" \
  -H "x-agumbe-tenant: acme-prod" \
  -d '{
    "model": "policy/auto",
    "input": "Summarize this support thread",
    "controls": {
      "budget": "team-weekly",
      "guardrails": ["pii", "prompt-injection"],
      "fallbacks": ["openai:gpt-5-mini", "anthropic:claude"]
    }
  }'
policy approvedcost trackedfallback readytrace recorded

XContext

Give agents the right context, not all context.

Connect workspace memory, documents, tools, and retrieval policies so each agent receives scoped context with redaction, freshness, and audit trails built in.

Explore XContext
xcontext sessioncontext pack
context.build({
  workspace: "support-agent-prod",
  task: "prioritize escalations",
  sources: [
    "fresh_tickets",
    "customer_contracts",
    "runbook_incidents"
  ],
  policy: {
    redact: ["secrets", "payment_data"],
    maxAge: "24h",
    audit: true
  }
})
12relevant memories
4approved tools
0secret leaks

How to build a Production-Ready Agent in Minutes with Agumbe

Describe the work, connect approved systems, and deploy an agent that takes action inside its own workspace.

Describe the agent

Create an agent that triages inbound support requests and posts summaries to Slack.

Agumbe turns plain text input into goal, context, skills, tools, triggers, policies, and deployment intent.

Add your connectors

MailDriveSlackWhatsApp BusinessGitHubMCP

Grant only the systems the agent needs. Credentials stay scoped to the workspace and can be disconnected.

Put it to work

Summarize unread support mail and post the top priorities to Slack.
GmailScanning inbox✓
DriveChecking attachments✓
SlackDrafting summary✓
MCPRecording action status...

Watch logs and action status in Agumbe while the deployed runtime does real work through approved tools.

Get Started

Integrate this flow into your development workflow today.

Sign Up Now

Simple, transparent pricing

No hidden fees. Just pay for what you use.

Starter

₹2000 minimum

  • Begin once your free credits run out
  • Refill credits anytime as needed
  • Flexible pay-as-you-go model
  • No monthly commitment required
Recommended

Pro

₹2000 / seat / week

Best for growing teams.

  • Ideal for developer teams
  • Includes extra credits & collaboration tools
  • Priority access to new features
  • Everything you need to build and scale

Enterprise

Let’s design your lane.

  • Unlimited collaborators
  • Tailored security & compliance
  • Priority support & SLAs
  • Custom onboarding + training

1 INR = 100 denits. Credits used for code, model, and deployment runs.