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Description

MiniMax M3 is a frontier open-weight AI model built for coding, agentic work, multimodal understanding, and ultra-long-context tasks. The model supports up to a 1 million token context window, allowing it to work across large codebases, long documents, logs, project histories, and complex task environments. MiniMax M3 introduces MiniMax Sparse Attention, a sparse attention architecture designed to make long-context processing more efficient. The model is natively multimodal, with training that supports deeper semantic fusion across text, image, and video inputs. It is designed to support software engineering tasks, repository analysis, terminal-style work, browser-style retrieval, tool use, and autonomous workflows. MiniMax M3 has a mixture-of-experts architecture with hundreds of billions of total parameters and a smaller activated parameter count for more efficient inference. Developers can use it for AI coding assistants, workflow automation, research agents, document analysis, visual reasoning, and enterprise AI systems. Its long-context capability makes it especially useful when tasks require many files, references, instructions, or interaction histories to stay available at once. MiniMax M3 helps teams build more capable AI agents that can understand larger problems, work across multiple modalities, and execute complex tasks with stronger context awareness.

Description

Trace is a sophisticated workflow automation platform that effectively analyzes and maps your current business processes by integrating with tools such as Slack, Jira, and Notion, creating a cohesive view of data, activities, and users. The platform enables users to visualize, design, and replicate complex workflows through a selection of community-curated templates or tailored paths they create themselves. After workflows are defined, Trace intelligently delegates repetitive or routine tasks—whether they require human intervention or can be executed by AI—to the appropriate agent, ensuring that you maintain oversight, permissions, and complete audit logs throughout the process. Additionally, it offers chat, search, and API interfaces for interacting with tasks, as well as high-context knowledge indexing that spans your organization, facilitating smooth transitions between various projects or teams using dedicated workspaces. By combining these functionalities, Trace empowers organizations to automate mundane tasks without altering their existing workflows, thereby enhancing productivity by seamlessly coordinating both AI and human agents across various tasks. Ultimately, this comprehensive approach not only streamlines operations but also fosters a more efficient work environment.