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Early access · Built for enterprises

The path to trusted autonomous software development.

Every AI skill, agent, hook and instruction file your teams run: delivered to every machine, measured, governed and accounted for. Built for enterprises: self-hosted and Git-backed, for Claude Code today, with Codex, Cursor, GitHub Copilot and Kiro next.

One team pilots for 90 days, free during the design partnership, with preferred pricing at conversion.

How it works

Git registries feed the web app, which delivers to every machine. Telemetry stays in a backend you host.

DELIVERContent flows from your Git to every machineMEASUREUsage flows back to a backend you hostGOVERN AND AUDITChecks, approvals and records on what is deliveredGit registriesYour repos, your Git hostWeb appCatalog and resolutionDesktop appInstalls on each machineAI assistantClaude Code today;Codex, Cursor, Copilotand Kiro nextDashboardsBuilt into the web appSupabaseSelf-hosted, in your networkCollectorHosted by you;Claude Code todaySecurity scanSkillSpector static analysis,when a registry is indexedOptional gateWithholds skills thatfail the scanApprovals and signingEnforced at deliveryROADMAPAudit trailChange attribution,publish historyROADMAPgitHTTPSfilesreadsinventory and usagetoken and cost

The path to trusted autonomy

Autonomy is earned one step at a time. Each pillar adds one.

1. Deliver

Everyone runs the same, current capabilities.

Skills, agents, hooks and instruction files from your Git registries, installed and kept current on every machine, for Claude Code today, never silently overwritten.

2. Measure

You can see what runs and what it costs.

Adoption, versions in use, unmanaged artifacts and token cost, with the source and coverage % on every cost figure.

3. Improve

Capabilities get better from evidence.

Per-artifact health from telemetry, with explainable, rules-based improvement suggestions for curators and admins.

4. Govern

What runs was approved.

Every skill security-scanned when indexed, with an optional gate that withholds failing skills. Approval workflows and signed artifacts are on the roadmap.

5. Audit

Every change is attributable.

For changes whose session can be linked, which model, skill version and agent version produced it, with a dated history of every published and withdrawn version.

Five headline numbers from the dashboards page: 142 of 160 machines active, 1,284 managed installs, 78% on the latest version, 160 unmanaged artifacts, and 9 machines running a blocked version.
Illustrative, example data
See all features

See the AI tools nobody approved

Forge scans each machine for skills and agents that no registry delivered, and shows them by team.

Read about security
Fleet health: 79 machines clean, 44 with 1 to 3 unmanaged artifacts, 19 with 4 or more; unmanaged skills and agents per team, highest in Web and Data.
Illustrative, example data

Who it's for

CTO / VP Engineering

Knows what's running, which versions, on which machines, and at what cost.

Active machines against registered machines over 30 days: 142 of 160 machines active in the trailing 7 days.
Illustrative, example data
Platform team

One place to publish, deliver and update capabilities, self-hosted on infrastructure you already run.

Share of installs on the latest version per skill: pre-commit-lint 100%, pr-description 92%, code-review 85%, api-style-guide 68%, test-writer 60%, security-review 59%.
Illustrative, example data
Compliance / risk

Inventory, versions in use, security scan results and unmanaged artifacts. Approval records and change attribution are on the roadmap.

Scan results across 52 artifacts: 38 pass, 7 warn, 2 blocked; a blocked version still installed on 9 machines is listed first.
Illustrative, example data
Development teams

The team's skills and agents installed and current, without being ranked individually.

Share of each team's machines with each skill installed, for six teams: code-review ranges from 61% in Data to 100% in Security; security-review from 0% in Data to 100% in Security.
Illustrative, example data

Can your organization say which model, skill and agent produced its last change?

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