Timbal: your whole AI agent stack in one box

2 months ago

Timbal wants to be the only tool you open to build an AI agent. The framework, the automation, the app, in one box.

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Chapters

  1. 0:00Slide 1
  2. 0:06One canvas to build agents, workflows, and apps
  3. 0:13One stack instead of five glued together
  4. 0:25Under the hood, it's plain Python
  5. 0:34The core is open, so you can walk away
  6. 0:45Cloud, your VPC, or fully on-prem
  7. 0:59One open box for the whole stack
Show transcript

Slide 1

Timbal: your whole AI agent stack in one box
AI Workflow Automation Artificial Intelligence SaaS

Timbal wants to be the only tool you open to build an AI agent. The framework, the automation, the app, in one box.

One canvas to build agents, workflows, and apps

Timbal Studio dashboard: a Good evening greeting and a row of cards for Create Agent, Create Workflow, AI Builder, Knowledge Bases, and Create Deployment, with a left navigation rail
Assemble it visually, then keep it as real code.

This is Timbal Studio. You build agents and workflows on a visual canvas, wire in your data, and ship an interface. And it all exports as real code you keep.

One stack instead of five glued together

Timbal's Replace your entire AI tooling stack panel, listing the tools it claims to replace across agentic frameworks, workflow builders, databases and vector stores, UI, LLM routing, observability, and governance
One box, or five you wire together yourself?

If you've shipped an agent, you know the tax. A framework, an automation tool, a vector database, an eval harness, all duct-taped together. Timbal's bet is one stack instead of five. Whether that beats stitching it yourself is the real question.

Under the hood, it's plain Python

The minimal Timbal agent from the docs: from timbal import Agent, then agent equals Agent with name my_agent and model openai gpt-5-mini
Timbal's Integrations card: 100+ native connectors shown as a logo grid including Gmail, Google Drive, Slack, Salesforce, HubSpot, and PostgreSQL
Timbal lists 100+ native connectors, so it reaches your data with no glue code.

Under the hood it's plain Python. A working agent is two lines. And Timbal lists over a hundred native connectors, so it reaches your Salesforce, your Drive, your knowledge base with no glue code.

The core is open, so you can walk away

The timbal-ai/timbal GitHub repository page: the file tree and an About sidebar listing the Apache-2.0 license
Apache-2.0 on GitHub
Timbal's own claim: Everything you build is exportable code. No black boxes. No vendor lock-in. Run locally and self-host, shown beside a code sample
Timbal's claim. The core framework is open, not ACE, the database engine, or Studio.

Here's the part that matters. The core framework is open. Apache two point zero, on GitHub, small enough to read. Timbal says everything you build exports as code you can run and self-host, so you're never stuck in a black box.

Cloud, your VPC, or fully on-prem

Free to start €25 / seat / mo Custom enterprise
Timbal's ACE panel: metric cards reading plus 30 percent reliability gain versus baseline and 0.1 times cost per run versus baseline
Timbal's own figures for its ACE runtime, versus its own baseline.
Built in Barcelona by co-founder Martí Norberto.

You can run it in Timbal's cloud, your own private cloud, or fully on-prem. It's free to start, then twenty-five euros a seat. Timbal says its ACE runtime adds around thirty percent reliability at a tenth the cost, versus its own baseline. Built in Barcelona by co-founder Marti Norberto.

One open box for the whole stack

Timbal
Young and open. The kind of young worth watching.
timbal.ai

So that's Timbal. One open box for the whole agent stack. Young and promising, the kind of young worth watching. The link's on screen.