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ColossalAI

AI developer platforms

Colossal-AI is an open-source framework for distributed training and inference of large-scale AI models, with the goal of making large-model training cheaper, faster, and easier to use. It provides a variety of parallelism strategies such as data parallelism, pipeline parallelism, 1D/2D/2.5D/3D tensor parallelism, sequence parallelism, ZeRO, and automatic parallelism, and integrates heterogeneous memory management PatrickStar, supporting quick startup of distributed training and inference via configuration files. The project has also open-sourced implementation cases such as Open-Sora-like video generation, the Colossal-LLaMA-2 domain model solution, ColossalChat (including a complete RLHF workflow), Colossal-Inference inference acceleration, and Stable Diffusion and AlphaFold acceleration. Installation supports PyPI, source code, Docker, and DockerHub images; the official documentation states that currently only Linux is supported, and recommends Python >= 3.10 and < 3.13, and NVIDIA GPU Compute Capability >= 7.0.

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compozy

AI agents

CompozyOS is an operating system for AI agents. It can connect the agent CLIs that users are already using (such as Claude Code, OpenClaw, Hermes, etc.) to the same runtime, allowing them to form teams, divide work and collaborate, hand off tasks to one another, and run continuously through automated tasks and loops while sharing project memory; users can control everything in a unified way in the browser. The project adopts a local-first design, with state held by a daemon, and provides core objects such as sessions, agents, loops, permission approvals, and observability, supporting interfaces such as Web, CLI, HTTP/SSE, UDS, and MCP. The current v0.3 series is in beta, and the v0.2.15 product has been deprecated.

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