Autonomous internet research
Scheduled research missions search and read the web — competitor watches, industry trends, OSS discovery — and file briefs plus scored opportunities into your suggestions queue.
Agents that research the internet, implement, verify, and ship their own improvements — with sprint gates, hosted dashboards, API runners, full observability, and humans only where risk demands it.
Sprint discipline, autonomous research, self-shipping improvements, and ops — built for teams shipping with AI, not just chatting with it.
Scheduled research missions search and read the web — competitor watches, industry trends, OSS discovery — and file briefs plus scored opportunities into your suggestions queue.
Docs and config auto-apply with an audit log; code lands as auto-PRs that merge only when CI and a review agent approve; schema, auth, and billing always wait for a human. Regression watch auto-reverts bad merges.
An intelligence agent synthesizes every performance signal into evidence packs and digests, scores whether past suggestions actually worked, and vets new OSS libraries before they're adopted.
Plan → execute → QA → review with agent roles, owner assignments, and enforced gates so nothing ships untested.
Run chassis agents and flows via Anthropic, OpenAI, Cursor Cloud Agents, or local Ollama — with tool loops, web search and fetch, branch picker, and run transcripts.
Private subdomains with TLS, dual login (GitHub OAuth + password), and 24/7 state mirrors synced from your repo.
Cron schedules plus inbound webhooks from GitHub, Slack, and Teams — fan-out to Slack, Teams, and Linear when runs finish.
Audit trail for every agent run, budget caps, daily limits, and a dashboard Run Logs tab with hook forwarding from dev machines.
Developer, QA, research, sales, and custom roles with skills, flows, and learned memory — plus a full-autonomy orchestration loop governed by a kill switch, budget caps, and daily run limits.
Adopt in any repo — consumer apps, internal tools, or the framework itself.
One pip install, then company-os init compiles agents, rules, and sprint state into your host IDE.
Work tasks through phase gates locally or trigger flows via API runner, scheduler, and webhooks.
Push state to a private dashboard subdomain — your team signs in, reviews runs, and stays in sync.
Hosted consumer dashboards with secure sign-in. Loading…
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Install from PyPI, adopt in five commands, or explore the docs to see how production teams use company-os today.