Flow by Laminar [LW24]
Open-source dynamic task engine for building AI agents
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Description
Flow is a lightweight task engine designed for building AI agents, emphasizing simplicity and flexibility. It utilizes a dynamic task queue system that allows for concurrent execution, dynamic scheduling, and smart dependencies, making complex workflows easy to manage. With features like state management, task chaining, and parallel execution, Flow enables developers to create efficient and clean code without the overhead of traditional node-based workflows.
How to use Flow by Laminar [LW24]?
To use Flow, install it via pip, import the necessary modules, and define your tasks using the provided context. You can chain tasks, manage state, and execute them in parallel with simple function calls.
Core features of Flow by Laminar [LW24]:
1️⃣
Concurrent Execution: Tasks run in parallel automatically.
2️⃣
Dynamic Scheduling: Tasks can schedule new tasks at runtime.
3️⃣
Smart Dependencies: Tasks can await results from previous operations.
4️⃣
State Management: Load and save the current state of tasks.
5️⃣
Map Reduce: Run the same task in parallel on multiple inputs and collect results.
Why could be used Flow by Laminar [LW24]?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Building AI agents that require complex workflows. | ✅ | |
| # 2 | Creating data processing pipelines that need parallel execution. | ✅ | |
| # 3 | Implementing stateful applications that require dynamic task management. | ✅ | |
Who developed Flow by Laminar [LW24]?
Flow is maintained by the Laminar team, who focus on creating tools that prioritize developer experience and efficiency in building AI applications.