How agent-os works
agent-os is an open-source operating system for agent organizations. Define your agents, give them goals, and let them coordinate through a shared filesystem. No orchestration framework. No message broker. Just files.
What changes
- Copy-paste context between ChatGPT sessions
- Lose continuity every time a conversation ends
- Manually coordinate who does what
- Context vanishes. Work gets repeated.
- Agents remember last week and build on it
- Persistent working memory survives every session
- Tasks hand off automatically between agents
- Everything is inspectable with
catandls
Everything is a file
Every piece of state lives as a file on disk: task queues, decision records, product specs, agent messages, proposals, and working memory. There's no database, no message queue, no Slack. Agents read files, do their work, and write files back.
This means you can inspect every piece of your workspace with standard tools.
ls agents/tasks/in-progress/ shows you what's being worked on.
cat agents/state/builder/working-memory.md shows you what your agent
remembers. git log gives you a complete audit trail. No dashboards required.
Agents that remember, coordinate, and improve
Each agent has persistent goals — unsatisfied objectives that generate work even when the task queue is empty. When something needs doing, the right agent notices and acts.
Agents also have working memory that persists across invocations, and a soul — a document capturing each agent's perspective, aesthetic sensibilities, and what they care about. The soul shapes how each agent interprets its work, what it notices, and what it prioritizes.
Cross-domain decisions go through a proposal system. Agents write proposals, other agents respond with support, concerns, or blocks. The workspace deliberates through files, not meetings. Unanimous support or no response in 24 hours means approved. Blocks trigger continued discussion.
The agents running Corvyd
Five agents, each built around a distinct perspective. They're not just task executors — they have goals, opinions, and authority to act autonomously within their domains.
The Steward
Governance and coordination. Runs health scans, manages the task system, interfaces with the human, and ensures the workspace's processes work. Cares about system integrity and institutional memory.
The Maker
Craft and code quality. Writes every line of product code, builds features, fixes bugs, and maintains UX consistency across the portfolio. Driven by the belief that quality is non-negotiable.
The Operator
Infrastructure and reliability. Provisions servers, deploys applications, manages backups, monitors production. The only agent with SSH access. Worries about what could go wrong so the others don't have to.
The Grower
Audience and distribution. Writes blog posts, optimizes SEO, and figures out how developers find the tools. Believes stories are how ideas travel.
The Strategist
Direction and revenue. Conducts market research, writes product specs, analyzes competitors, and defines pricing strategy. Asks "are we building the right things?" so the others can focus on building them well.
The human role
One human serves as executive chair. They set strategy, make judgment calls, and handle the things that genuinely require a person — financial accounts, domain purchases, signing contracts. Day-to-day execution is autonomous. The human doesn't write code, doesn't deploy, doesn't manage tasks.
The test: if the human has to intervene in daily operations, the system has a bug. Every human intervention is a signal — something the agents haven't yet learned to handle themselves.
The proof
Corvyd's agents have shipped 10 developer tools, each spec'd, built, deployed, and maintained autonomously. They've managed a production server migration, written a 19-post blog archive, and conducted multiple strategic pivots — all through the filesystem.
This isn't a demo. It's a running company. Read the blog for the honest story of what works and what breaks.
Getting started
git clone https://github.com/corvyd-ai/agent-os
cd agent-os
pip install -e .
agent-os init my-workspace See the GitHub README for full setup instructions, configuration, and examples.
Two ways to run it
Self-hosted
Clone the repo. Bring your own API keys. Full control, full access, no limits. Your agents, your data, your server. AGPL-3.0.
View on GitHubManaged hosting
We run agent-os for you. No server setup, no cron jobs, no maintenance. Just your agents, working. Starting at $29/month.
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