Name: Tom Chapin
Type: User
Company: Phase Interactive
Bio: AI Researcher and AI Automation Engineer with a professional background in software engineering, scaling startups, and marketing and advertising.
Twitter: tomchapin
Location: Greater Seattle Area, Washington
Blog: https://www.linkedin.com/in/tomchapin
Tom Chapin's Projects
An open-source language model computer
π 33 concepts every JavaScript developer should know.
The 3D component of the Map Viewer for MetabolicAtlas.org
4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling
4K4D: Real-Time 4D View Synthesis at 4K Resolution
Public repo for my latest and greatest cognitive architecture ACE (Autonomous Cognitive Entity) Framework
Imitation Learning algorithms with Co-traing for Mobile ALOHA: ACT, Diffusion Policy, VINN
Open-Source AI wearable device and software
Build autonomous AI agents! π
Common interface for interacting (and more in the future) with any agent. The protocol is tech stack agnostic - you can use it with any framework for building agents.
Comprehensive Agent-First Framework and Dataset for Webscale Search
Agent Zero AI framework
A Comprehensive Benchmark to Evaluate LLMs as Agents
Extensible AGI Framework
π€ Assemble, configure, and deploy autonomous AI Agents in your browser.
AI agent stdlib that works with any LLM and TypeScript AI SDK.
An autoagentic AGI that is self-evolving and modular.
Universal AI Agent Frontend. Build your backend we handle the rest.
Agentlessπ±: an agentless approach to automatically solve software development problems
Easy-to-use agent memory, powered by chromadb
Python SDK for agent evals and observability
An Open-source Framework for Autonomous Language Agents
A shell for your agent
π€ AgentVerse πͺ provides a flexible framework that simplifies the process of building custom multi-agent environments for large language models (LLMs).
A proof-of-concept of a brain for an AI agent.
A collection of community created scripts to automate your life
Artificial Intelligence Domain Specific Language (AI-DSL) to enable autonomous interoperability between AI services.