Built for teams, not solo developers
AI agents your whole team can trust.
Claude Code and Codex hand AI the keys to your machine — one developer, no shared policies, no team visibility. ClearCode runs agents in a locked-down VM, with policies your engineering lead controls, shared org context, and a full audit trail.
Solo agent tools vs ClearCode
Claude Code & Codex style tools
- Claude Code executes bash directly on your host — no sandbox, no execution boundary
- Cloud agents (Codex) run your code on third-party infrastructure — data leaves your machine
- Per-developer setup — no central policy enforcement across the team
- No visibility for leads: no traces, no audit log, no shared dashboard
- No approval flow or kill switch for high-risk operations
ClearCode
- Agents run inside an isolated VM — your host is never touched
- Policies configured once by eng leadership, enforced on every run for everyone
- Real-time traces and audit log visible across the whole team
- Org memory accumulates and is shared across developers and repos
- Configurable human-in-the-loop approvals and a dashboard kill switch
Agents that cannot go rogue
Application-layer promises are not enough. ClearCode enforces hard boundaries at the execution layer so a misaligned model or compromised dependency cannot escape the declared blast radius.
VM-isolated execution
Every run gets its own fresh Lima VM. Agents never execute bash on your host — all commands route through the VM shell via a dedicated MCP tool. Raw host access is always blocked.
Policy-gated tool calls
Every tool call is evaluated against your team's policy before it executes. Filesystem boundaries, network allowlists, and command guardrails are enforced per agent — deny-all by default, explicit allowlist per flow.
Human-in-the-loop control
High-risk operations pause for team approval before they run. Approvals, denials, and replans are logged with context. A dashboard kill switch ends any active session immediately.
Immutable audit trail
Every tool call, policy decision, and execution output is written append-only. Know exactly what ran, when, why it was allowed, and who approved it — without relying on self-reported agent logs.
Designed for the whole engineering team
Central governance
Engineering leads configure agent flows, tool access, and autonomy levels once in the dashboard. Every developer in the org runs under the same rules — no drift, no exceptions.
Shared org memory
What agents learn from your codebase, patterns, and past runs accumulates as reusable org context. Not siloed in one developer's session — available to every run, improving over time.
Full observability
Leads and developers can inspect exactly what each agent did, when, and why — in real time or after the fact. Every decision has a trace, not just an outcome.
Per-repo configuration
Different agent flows, tool policies, and autonomy levels per repository. Tighter controls on critical services, faster autonomy on lower-risk projects — all from one dashboard.
Slots into normal engineering workflows
Works with your stack
Compatible with GitHub, Linear, Slack, Notion, and existing test pipelines. No workflow reset required.
Repo-first adoption
Assign different flows per repository without forcing one process on every team. Start with one repo, expand on your terms.
Tunable autonomy
Enable human approvals only where risk requires it. Keep low-risk paths fully autonomous. Dial per repo, per agent, per operation type.
Evidence-backed PRs
Every run finishes with a PR package: code, tests, and an execution trace your team can audit before merging.
How it works in practice
- Developer runs
clearcode "goal"from terminal. - ClearCode starts a fresh isolated VM and loads your org's configured agent flow for that repo.
- Agents execute step by step — every tool call evaluated against team policy before it runs. Risky operations pause for human approval.
- Run finishes with a PR package: code, tests, and a full execution trace the team can audit.
Get early access
Tell us about your team and setup. We will send a technical pilot proposal.