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Overview

Timbal is an open-source python framework for building reliable AI applications, battle-tested in production with simple, transparent architecture that eliminates complexity while delivering blazing fast performance, robust typing, and API stability in an ever-changing ecosystem. It offers both autonomous Agents for complex reasoning and explicit Workflows for step-by-step control, all built on unified primitives that make AI applications composable, traceable, and scalable.
  • Agents: Agents are autonomous execution units that orchestrate LLM interactions with tool calling. Best for:
    • Complex reasoning tasks requiring multiple steps
    • Dynamic tool selection based on context
    • Open-ended problem solving with autonomous decision making
    • Multi-turn conversations with memory across iterations
  • Workflows: Fine-grained control over your AI pipeline with explicit step-by-step execution. Best for:
    • Complex data processing pipelines with multiple stages
    • Predictable processes with defined execution paths
    • Performance-critical applications requiring concurrent execution
    • Workflows where explicit control over step dependencies is needed

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Key Features

Memory

Persistent context across agent interactions with automatic state management.

Model Routing

Seamless multi-provider support with consistent APIs across all models.

Composability

Build complex applications from simple, reusable primitives.

Tracing

Complete execution visibility with automatic logging and debugging.

Evals

Built-in evaluation framework for testing and validating AI outputs.

Deployment

Production-ready deployment with scaling and monitoring capabilities.

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Why are we building this?

  • Simplicity over complexity: Unlike LangGraph, CrewAI, and other frameworks that abstract away what’s really happening, Timbal keeps things transparent. Under the hood, it’s just LLM calls and async function execution - no hidden magic, no opaque abstractions.
  • Developer experience first: We believe you shouldn’t need to learn a new mental model to build AI applications. If you understand functions and async/await from any modern programming language, you understand Timbal. Most agents are built in 10-20 lines of code.
  • Battle-tested architecture: Our core abstractions have been refined through real-world production usage. The framework is designed around proven patterns: async generators, Pydantic validation, and event-driven processing.
  • Robust interfaces: Strong typing and validation make it nearly impossible to break things from the outside, while clean abstractions make internal modifications straightforward. The framework fails fast with clear error messages.
  • Performance by design: Built for production workloads with concurrent execution, efficient memory management, and minimal overhead. Every design decision prioritizes speed and scalability.
  • Stability in a chaotic ecosystem: Providers change and release new APIs monthly. Timbal provides a stable abstraction that shields your applications in production.