FAQ
Frequently asked questions about crewkit
What is crewkit?
crewkit is the institutional memory and governance layer for AI-assisted engineering: agents work as teammates, prior work is one search away, and every session is attributed to the exact agent version that ran it. Teams using Claude Code get shared project context, enforced conventions, and a record of what each agent version actually did.
How does crewkit work with Claude Code?
When you run crewkit code, crewkit syncs your team's agent configurations (agents, skills, rules, commands) from the crewkit platform, then launches the native Claude Code you already use. Claude Code owns the terminal — nothing about that experience changes — while crewkit runs alongside it, tracking session data (tokens, costs, tool usage, summaries) for your dashboard. An interactive terminal interface with a live sidebar is available with crewkit tui.
Is crewkit open source?
The CLI is proprietary and distributed as prebuilt binaries. The public karibew/crewkit-cli repository hosts releases and the issue tracker. The dashboard and API are hosted services included with your crewkit plan.
What does crewkit cost?
Free for individual developers. Team plans are per-seat — see crewkit.io/pricing for current plans.
What data does crewkit collect from my sessions?
crewkit collects session metadata: token counts, costs, model usage, tool invocations, durations, and AI-generated summaries. Conversation content (your prompts and responses) can optionally be stored as transcripts for review. Organizations can configure privacy settings to control what data is collected and retained. See our privacy policy for current data retention details.
Can I use crewkit without the dashboard?
Yes. The CLI works standalone for agent sync and session tracking. The dashboard provides analytics, team management, and experiment features on top of the CLI data.
How does 3-tier resource inheritance work?
Resources (agents, skills, rules) can exist at three levels: Platform (crewkit-managed base), Organization (team customs), and Project (project-specific). Each level can inherit from the one above, adding its own content. This lets you set company-wide standards while allowing project-specific customization. See the inheritance guide for details.
What is coaching mode?
Coaching mode is a role-based configuration that changes how AI agents interact with junior developers. Instead of writing code directly, agents in coaching mode guide developers step-by-step, ask clarifying questions, and explain concepts. It is automatically applied based on the developer's role in the organization.