Explore 4716+ AI Developers (page 255)
Chevvi Pty Ltd
Chevvi builds grounded, accountable, and operator-friendly AI tools to fix the broken relationship between businesses and AI.
NewsCatcher, Inc.
NewsCatcher provides a recall-first Web Search API and News API for AI agents and enterprise teams, turning the web into a structured database of real-world events.
qoderwork.org (Independent)
To revolutionize software development through agentic coding where 'Coding is Thinking', moving AI from assistance to execution.
Dust
Multiplayer AI for human-agent collaboration. Dust is where people and agents collaborate as co-contributors, rewiring how work gets done.
i-am-bee
To provide an open-source framework and platform for building, discovering, and deploying reliable, production-grade multi-agent AI systems.
SWE-bench
SWE-bench is a benchmark for evaluating the ability of AI models to resolve real-world software engineering issues in popular GitHub repositories.
web-arena-x
To build realistic, reproducible web environments for training and evaluating autonomous web agents that can handle complex, real-world tasks.
MaxGfeller
MaxGfeller builds OpenHarness, an open-source TypeScript SDK for constructing composable AI agent harnesses. The project is MIT-licensed and hosted on GitHub, providing stateless primitives, middleware, and subagent hierarchies for developers building Claude Code-like products. OpenHarness is built on top of Vercel's AI SDK and supports any compatible model provider.
SuperAgentX AI
SuperAgentX provides an enterprise control plane for Agentic AI, enabling organizations to build, run, and govern policy-driven autonomous agents with trust and privacy.
2FastLabs
2FastLabs builds and maintains Agent Squad, a flexible open-source framework for orchestrating multiple AI agents across complex conversational workflows. The project was originally developed under AWS Labs and is now independently maintained by Corneliu Croitoru and Anthony Bernabeu. The team focuses on making multi-agent AI systems accessible through dual Python and TypeScript implementations with deep AWS and third-party LLM integrations.