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- Opensource OpenAI Operator Agent
Opensource OpenAI Operator Agent
PLUS: First single-person $1B company, Self-building AI agents with minimal coding
Today’s top AI Highlights:
Opensource framework for self-building AI agents with minimal coding
Lightweight, type-safe AI workflow orchestrator inspired by Anthropic’s agent patterns
Building the first single-person $1B company
Extract DeepSeek R1’s reasoning process and feed it to any LLM
5 free alternatives to OpenAI’s browser-using Operator agent
& so much more!
Read time: 3 mins
AI Tutorials
Sales teams spend countless hours manually searching for and qualifying potential leads. This repetitive task not only consumes time but also results in inconsistent lead quality. Let’s automate this process to help sales teams focus on what matters most - building relationships and closing deals.
In this tutorial, we'll build an AI Lead Generation Agent that automatically discovers and qualifies potential leads from Quora. Using Firecrawl for intelligent web scraping, Phidata for agent orchestration, and Composio for Google Sheets integration, you'll create a system that can continuously generate and organize qualified leads with minimal human intervention.
Our lead generation agent will help sales teams identify potential customers who are actively discussing or seeking solutions in their target market.
We share hands-on tutorials like this 2-3 times a week, designed to help you stay ahead in the world of AI. If you're serious about leveling up your AI skills and staying ahead of the curve, subscribe now and be the first to access our latest tutorials.
Latest Developments

Pippin is a flexible opensource framework, based on the BabyAGI framework, to build “digital beings” (autonomous AI agents) that can reflect on tasks, generate new activities, and seamlessly integrate external tools. The framework treats AI as part of a broader digital ecosystem—nurtured by memory, constraints, and an evolving sense of purpose.
You begin by defining a character (complete with personality, objectives, and constraints). Then, connect it to various tools or apps as “skills.” A core loop monitors memory, decides which Activities to run, and can even spin up brand-new Activities based on your AI’s successes or challenges.
Key Highlights:
Character-Driven Architecture - Define your AI's personality, objectives, and constraints through a straightforward configuration system. The framework handles the core loop of activity selection and execution, letting you focus on shaping your agent's behavior and capabilities.
Dynamic Skill Integration - Connect to 250+ tools through Composio for capabilities like tweeting, web scraping, or deploying code. Add custom skills manually or let the agent generate them, with built-in authentication handling for OAuth flows and API keys.
Self-Building Capabilities - The agent can write and test new Python code for activities, expanding its capabilities based on success patterns. It includes built-in evaluation tools and a memory system to track outcomes, helping the agent learn from past actions.
Lighter-weight Cousin - Pippin-Lite is a lighter-weight framework with just 227 lines of code. It’s designed as an educational starting point for exploring dynamic self-building AI agents. While the core Pippin framework focuses on complex and expansive capabilities, Pippin-Lite keeps things simple and close-ended, making it perfect for exploring tasks with close-ended goals.

JavaScript developers now have a lightweight library for building AI agent workflows with Flows AI, built on top of the Vercel AI SDK. The library treats agents as simple async functions and provides built-in control flow patterns inspired by Anthropic's agent architecture.
Flows AI maintains compatibility with any LLM provider while eliminating unnecessary abstractions, making it particularly useful for developers working with multiple AI agents. The framework's functional approach and type-safe design enable developers to create both simple and complex workflows using familiar JavaScript patterns.
Key Highlights:
Simplified Agent Definition - Flows AI treats agents as simple async functions, offering flexibility in tool choice. Use anything from basic LLM calls to HTTP requests. The library also provides a helper function, agent, to quickly create LLM agents.
Composable and Serializable Flows - Flows are composable and nestable structures that can be serialized. This allows Flows to act as an orchestration layer that connects different (often incompatible) inputs/outputs together using built-in or custom control flow logic. This enables very precise workflow definitions, helping with debugging and new features.
Developer-Friendly Debugging - Monitor agent execution with event listeners for flow start and completion. Each flow can be assigned a unique name, enabling precise tracking of agent activities and simplifying the debugging process in complex multi-agent systems.
Flexible Integrations - Define custom agents or override built-in ones to match specific requirements. The library supports different LLM providers and models, with the ability to set default models globally or configure them per flow, making it adaptable to various production needs.
Quick Bites
We've all heard the buzz about AI enabling one-person billion-dollar companies in the coming years, but what would that actually look like? YC-backed startup Rocketable is taking a bold step toward this path. Rocketable is systematically acquiring profitable software businesses and replacing their entire org charts with AI agents - from customer support to resource allocation decisions. They're targeting software products in the $250K-$600K annual profit range, building the integration layer needed for AI agents to collaborate cohesively across business functions.
“The real opportunity lies in assuming there is no human job in a software company that can’t be automated by AI.” What do you think about this?
The best of both worlds: DeepSeek R1's reasoning engine can now power your existing LLM infrastructure. RAT (Retrieval Augmented Thinking) is a powerful tool to enhance LLM capabilities by extracting DeepSeek R1's reasoning process and feeding it to other models through OpenRouter. The open-source CLI tool, which includes a specialized Claude implementation, effectively gives models access to DeepSeek's structured thinking patterns while adding key features like function calling and JSON mode.
OpenAI has added support for o1 models in ChatGPT Canvas. It earlier supported only GPT-4o models. Furthermore, you can now render HTML and React apps directly in ChatGPT with Canvas, making it super easy to build and preview small apps.
Hugging Face has released the smallest-ever VLMs - SmolVLM - incredibly compact 256M and 500M models, capable of running on less than 1GB of GPU memory. These models not only fit on consumer devices, but surprisingly outperform the previous Idefics 80B model, with the 256M variant reaching 80% of the 2.2B model's performance. These tiny yet powerful models also come with instruction-tuned versions and various checkpoints, and support transformers, MLX, and ONNX.
Tools of the Trade
5 Free Alternatives to OpenAI’s $200 browser-using Operator agent:
WebUI by Browser Use: Open-source framework to facilitate interaction of AI agents with web browsers through a user-friendly graphical interface using Gradio. Built on Browser-use framework, it lets you use your own browser and maintain browser sessions between AI tasks.
Stagehand: Open-source framework for creating AI web browsing agents. It's built on top of Playwright, a popular browser automation library. Offering three simple APIs (act, extract, and observe), it provides the building blocks for web automation via natural language.
Open Operator - Open-source reference project built on Stagehand. It exactly functions like OpenAI’s Operator. Under the hood, a very simple agent loop just calls Stagehand to convert the user's intent into headless browser operations, and then calls Browserbase to execute those operations.
Computer X: A desktop AI agent that extends beyond web browsers, directly controlling all applications on your computer via natural language instructions. ComputerX uses proprietary AI models to command your entire digital workspace. It is currently free during its beta phase.
CopyCat: A Mac-based application layer that automates browser tasks. It allows you to record your screen and turn that task into an automation using AI.
Awesome LLM Apps: Build awesome LLM apps with RAG, AI agents, and more to interact with data sources like GitHub, Gmail, PDFs, and YouTube videos, and automate complex work.

Hot Takes
You are not dumb. You just don’t have access to enough GPUs. ~
Bojan TunguzKinda hard to go back to building B2B AI agents when OpenAI is building $500B worth of datacenters with the mandate of the US government to build ASI.
Suddenly it all starts to feel a bit silly. ~
Mckay Wrigley
That’s all for today! See you tomorrow with more such AI-filled content.
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