Multi-agent swarms shipping features — while your code stays in the vault.

Your engineers run A2A agent swarms that ship features in parallel — without ever cloning a repo. Code is streamed file-by-file through the VS Code extension or web reviewer, never written to a laptop disk. And because no human needs bulk file access anymore, the moment someone tries, the system knows.

Three engines, one agent loop.

Every agent operation flows through the unified platform. Memory provides context, Vector powers search, GitDB handles code — all under one identity, one audit trail, one deployment.

Your AI agents
Architect
Coder
Reviewer
Tester
keyes.ai unified platform
1
Memory
Auto-inject relevant context from past sessions
recall → context
2
Vector
Semantic search across code and memories — 100% recall
query → ranked results
3
GitDB
Read, write, commit code via MCP — AST-aware, branch-isolated
read/write → commit
Step 4 · Memory
Auto-capture new knowledge back to Memory
Identity
SSO / SAML
Audit
Every operation logged
Isolation
Per-tenant, per-agent
Deploy
Cloud image or bare metal

The new shape of code protection.

With agents doing the bulk of the work, your engineers don't need a copy of the codebase on their laptop anymore. The VS Code extension streams the files they review on demand, and the web reviewer covers everything else — source code is never written to local disk. A lost laptop is a lost laptop, not a leaked codebase.

And because no one ever needs bulk access, bulk access becomes a signal. If a single identity opens hundreds of files inside an hour, GitDB notices instantly — throttles the session, alerts your team, and gives you the precise list of what was touched. It's a control plane that turns "did they walk out with the source?" from a guess into a one-line answer: no.

Full governance plane is available in Hosted mode on the Enterprise tier — see Two modes below.

BEFOREgit clone → full codebaseon every laptopEngineer laptop — full cloneunbounded!Bulk reads invisible. Lost laptop = lost code.Revocation is best-effort, after the fact.AFTERAgents work. Code streams.Nothing on disk.gitdb://acme/backend∅ diskVS Code ext / web reviewerper-file streamagent swarmGitDB⚠ ALERT · patternactor: u_42 · 512 reads / 60sthreshold: 500 reads / 60s→ throttled · token rotatedBulk-access bursts become signals, not noise.

Built on Zero Trust principles.

GitDB Enterprise doesn't bolt security on top of a permissive system — it begins from the assumption that no identity, no session, and no network path is trusted by default. Every one of the four Zero Trust pillars maps directly to a capability you get on day one.

01Pillar

Verify Explicitly

Every read, write, and merge is authenticated to an identity and authorized per-request — no shared tokens, no ambient trust. Humans and agents alike.

A seat for every collaborator
02Pillar

Least-Privilege Access

Scoped permissions enforced inside the database itself. Each identity sees only the repos, paths, and operations its role allows — nothing more, nothing wider.

Access that fits the work
03Pillar

Assume Breach

Continuous behavioral verification. Bulk reads, off-hours access, and unfamiliar paths trigger throttling and alerts in real time — not in next week's log review.

Bulk access becomes a signal
04Pillar

Never Trust the Network

Source code never sits on a laptop, in a CDN, or on a cached endpoint. Files stream on demand through the VS Code extension or the web reviewer, then disappear.

Zero source code on laptops

Agent-native engineering, code that stays put.

The same platform that lets your agent swarm move fast keeps your codebase from walking out the door. One system, two wedges, six capabilities.

Zero source code on laptops

No clones, no ZIP exports, no full-repo downloads — ever. Engineers review code through the VS Code extension or the web reviewer, streamed file-by-file. The source stays in GitDB; the laptop stays clean.

Multi-agent swarms, on rails

Run a team of specialist agents — architect, coder, reviewer, tester — handing work off through GitDB. Each one has its own identity, its own scoped access, and its own line in the audit trail. The swarm ships features; you keep the receipts.

Bulk access becomes a signal

Nobody opens 500 files in a minute by accident. Because agents now do the heavy work, those bursts have nowhere to hide — GitDB throttles the session, alerts your team, and hands you the precise list of files touched. The exfiltration playbook simply stops working.

A seat for every collaborator

Every human and every agent gets its own identity and its own scoped access. Onboard a contractor or spin up a swarm in seconds; close every active session in one click when the work is done.

Audit-ready by default

Every file read, edit, and merge is captured with a precise timestamp and identity. Answer any governance question in seconds — "do they still have the code?" is no longer a guess.

Standards baked into every commit

Your security and quality policies run inside GitDB — catching stray secrets and banned dependencies before they ever land. Every contributor, human or agent, ships clean code by default.

When someone tries to walk out with the source.

With agents doing the bulk of the work, bulk file access becomes the signal — not the noise. Here's what a real exfiltration attempt looks like, on a laptop with disk encryption only and on GitDB Enterprise.

T+0
The burst
Disk encryption only

An engineer or compromised agent fires off bulk reads — hundreds of files in a single minute. With code on every laptop, this just looks like a normal IDE flexing. No system flags it.

T+30 sec
Throttle and see
Disk encryption only

Without per-file visibility, the question "what was just opened?" needs hours of correlating logs across endpoints, VPN, and the code host.

T+3 min
Close the door
Disk encryption only

Closing access means rotating keys, expiring sessions, waiting for caches. By the time the window shuts, the codebase may already be on a USB drive.

T+10 min
Answer the question
Disk encryption only

"Do they still have the code?" is a guess. The honest answer is "we don't know for sure."

Next morning
Tell the story with confidence
Disk encryption only

Communication goes out under uncertainty: "we believe..." instead of "we know..."

Your first 30 days on Hosted Enterprise.

The full governance plane lives in Hosted mode — where GitDB is the home for your code. Rolling it out isn't a quarter-long project. Here's what a typical first month looks like.

  1. 01
    Day 1
    Move in — no more clones

    GitDB Enterprise is provisioned in Hosted mode. 50 repos import in under an hour. Engineers install the VS Code extension and open repos as `gitdb://…` workspaces — code streams on demand, nothing lands on the laptop. By end of day, the team is shipping.

  2. 02
    Day 3
    SSO, SCIM, and a seat for every agent

    Wire GitDB to your identity provider. Engineers sign in with their existing credentials. Every agent picks up its own per-seat API key with scoped permissions — no shared bot tokens, no ambient secrets.

  3. 03
    Day 7
    First agent swarm in production

    Architect, coder, and reviewer agents take their first feature end to end — handing work off through GitDB in pointer-sized payloads. The PR lands the same afternoon, with every step attributed and replayable.

  4. 04
    Day 14
    Bulk-access alert, handled in 20 minutes

    An identity hits 500 file reads in a minute. GitDB throttles the session, alerts ops, and surfaces the exact file list. Twenty minutes later the token is rotated and the team has a written record — no codebase ever left the vault.

  5. 05
    Day 30
    Audit answered in ten minutes

    An auditor asks: "who touched file X between dates Y and Z?" Used to take a week of log-digging. On GitDB, it's a single query — emailed in ten minutes flat.

Every milestone above ships with the Enterprise tier in Hosted mode. Proxy mode is for evaluation only — full audit, anomaly detection, and compliance evidence require GitDB to be your source of truth.

Adopt on your terms.

Go all-in with Hosted mode on the Enterprise tier — your code lives in GitDB, with the full governance plane: access, audit, guardrails, and anomaly detection. Or start with Proxy mode alongside your existing Git to pilot GitDB with zero migration friction.

Proxy mode

Pilot without migrating.

AI AGENTSClaude Code, CodexENGINEERSVS CodeMCPVS CodeGitDBaccess & audit layersyncGitHub / GitLabcode still lives hereAccess is audited — but the vault is someone else's.

Run GitDB in front of your existing GitHub or GitLab — your team picks up the access layer, audit trail, and agent tooling in an afternoon. Because GitHub still holds ground truth, the full governance plane unlocks when you graduate to Hosted. Proxy is the easiest path to prove value before you migrate.

  • Zero migration — up and running in an hour
  • Keep your existing CI/CD exactly as it is
  • Perfect for evaluation, pilots, and gradual rollout
  • Graduate to Hosted whenever your team is ready

Both modes run on the same deployment options — Cloud or Self-hosted in your own infrastructure.

Run it in our cloud, or in yours.

SELF-HOSTED

Enterprise Self-Hosted

Your cloud · compliance-ready

For teams whose data must stay inside their own perimeter. Deploy GitDB inside your own cloud account, with the option to run fully offline using local embedding models.

  • HIPAA · FedRAMP · ITAR*
  • Full feature parity with Cloud
  • Annual contract

* SOC2, HIPAA, FedRAMP, and ITAR certifications are actively in progress. Contact us for current attestation status.

One plan, scaled to your org.

Built on top of Max — adds the identity, governance, and deployment fabric a regulated org needs to actually run agent swarms.

Enterprise

Custom/ talk to us

Governance, self-hosted, dedicated.

  • Everything in Max
  • GitHub / GitLab sync
  • SSO / SAML
  • Self-hosted deployment (AWS · Azure · GCP)
  • Governance & policy controls
  • Activity visibility & audit export
  • Dedicated support & onboarding
Talk to sales

Ready to build with
gitdb.co?

Tell us about your team, how many agents you're running, and what compliance posture you need. We'll come back within two business days with a fit assessment and an early-access slot if it makes sense.