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AI · December 3, 2024

Flow by Laminar [LW24]

Open-source dynamic task engine for building AI agents

Flow by Laminar [LW24] launched on December 3, 2024 with 161 votes, #263 of 5,365 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 1 year on.

What it does

Flow is a lightweight task engine for building AI agents. With Flow you code will be cleaner, and you will have power to effortlessly build parallel, stateful, dynamic agentic workflows.

The SOTA Open-Source Browser Agent for autonomously performing complex tasks on the web - lmnr-ai/index

Index Index is a state-of-the-art open-source browser agent that autonomously executes complex web tasks. It turns any website into an accessible API and can be seamlessly integrated with just a few lines of code. prompt: go to ycombinator.com. summarize first 3 companies in the W25 batch and make new spreadsheet in google sheets. pip install lmnr-index ' lmnr[all] ' # Install playwright playwright install chromium Setup model API keys Setup your model API keys in .env file in your project root: GEMINI_API_KEY= ANTHROPIC_API_KEY= OPENAI_API_KEY= # Optional, to trace the agent's actions and record browser session LMNR_PROJECT_API_KEY= Run Index with code import asyncio from index import…from github.com

Does a similar job

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  • Flow – A dynamic task engine for building AI agents2024 · github.com · ▲160

    I think graph is a wrong abstraction for building AI agents. Just look at how incredibly hard it is to make routing using LangGraph - conditional edges are a mess. I built Laminar Flow to solve a common frustration with traditional workflow engines - the rigid need to predefine all node connections. Instead of static DAGs, Flow uses a dynamic task queue system that lets workflows evolve at runtime. Flow is built on 3 core principles: * Concurrent Execution - Tasks run in parallel automatically * Dynamic Scheduling - Tasks can schedule new tasks at runtime * Smart Dependencies - Tasks can…

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