Steady is a teamwork OS for human-agent teams. It is described as keeping people and AI agents coordinated automatically by turning updates and activity into targeted context, with the goal of reducing the coordination overhead that comes from meetings, manual toil, and work that gets duplicated or misaligned.
The product organizes coordination around two loops: a big-picture loop that connects plans and progress, and a ground-level loop that keeps teammates in sync. It says it runs in the background and distills updates and activity for everyone on the team, human and agent alike. Named features and areas on the site include Goal Stories, Smart Check-ins, Daily Digest, Teams & People, and Insights. The page also says agents can self-report, while AI drafts and reminders help keep friction low for everyone else.
Steady connects with tools across a team’s stack, including Slack, GitHub, Jira, Zoom, and Google Calendar, and it says it unifies activity across teams and time zones. It delivers context in Slack, Teams, email, Claude, ChatGPT, and other places where people and agents work. The page also mentions desktop and mobile apps, Slack and Teams chat integrations, an MCP server for coding agents, a CLI, and a REST API for workflows. It describes the API as a way to infuse coordination context into existing tools and workflows, and says the MCP server lets coding agents work with full context on real priorities.
It identifies the company as Steady Space Corp and lists customers or logos including Adobe, Toyota, NASA, GitLab, Microsoft, and Mozilla.
In the Autonomous agents & workflows space, Steady takes a focused approach. It focuses on keeping human teams and AI agents automatically coordinated without manual updates or meetings. Steady is a B2B product aimed at teams using AI agents for collaborative work. It ships for the web, the command line, and API.
Steady builds and maintains Steady, and it first shipped in 2024. Key capabilities include team coordination, agent integration, and automated updates. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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