Spin up isolated database copies in seconds. Your AI agents get their own playground without touching production data.
AI agents need real data to be useful, but giving them write access to production is dangerous. DB Clones solve this by creating instant, isolated copies that agents can freely query and modify.
# Clone configuration
name: sales-db-clone
source:
type: s3-backup
bucket: prod-backups
path: postgres/daily/
schedule: "0 2 * * *" # Restore daily at 2am
clone:
ttl: 30m
max_concurrent: 100
# Agent gets isolated connection
output:
connection_string: true
auto_cleanup: true
Works with your existing infrastructure
"We're using ContextBits to let our AI agents break apart a legacy monolith database into smaller, domain-specific databases. Each agent works on its own clone, experimenting with schema changes without any risk to production."
"Our agents now spin up hundreds of concurrent database clones to test code changes against real data. Developers share a single database, but every agent gets its own isolated copy. Zero conflicts, zero impact on the team."
From AI agent databases to monolith migration
Give each AI agent its own isolated database clone. Agents can safely execute queries, test schema changes, and modify data without affecting other agents or production. Perfect for agentic workflows that require database access.
Breaking apart a monolith database into microservices? Use DB clones to let AI agents experiment with different decomposition strategies. Each agent gets its own clone to test schema splits without risk.
Replace traditional test data management approaches with instant database clones. No more waiting for data refreshes or managing test data subsets—clone the full database in seconds.
Provision a fresh database clone for every pull request. Run integration tests against real data, then automatically clean up. No shared test databases, no flaky tests from data conflicts.
See how Instant DB Clones stack up against cloud-native cloning features and traditional database cloning tools.
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