Instant database sandboxes for AI agents
Spin up production-identical clones in seconds. Run multiple agents in parallel, each in its own isolated sandbox. Compare the outcomes side by side and promote the winning result.
Works with Cursor, Claude, Windsurf, and every MCP-compatible agent.
Multiple agents. Parallel sandboxes. One winner.
Spin up parallel clones from the same snapshot. Run multiple agents in their own isolated sandboxes — different strategies, same real data. Evaluate the outcomes side by side and promote the best one.
Arena Session #47
Task: Migrate users table to UUID primary keys
Claude Code
BEST0 errors, 12 tables migrated
Completed
34s
Cursor Agent
0 errors, 12 tables migrated
Completed
51s
Custom Agent
2 warnings, 12 tables migrated
Completed
1m 12s
Define the task
Describe what you need: a migration, a data cleanup, a schema refactor. Guepard spins up N parallel clones from the same production snapshot.
Agents compete in parallel
Each agent gets its own isolated sandbox. They run their approach simultaneously. Different strategies, same real data, zero interference.
Compare & promote
Review the results side by side. Pick the best outcome. Promote the winning branch to production, or discard everything with no trace.
The shift
Safe experiments, not dangerous guesses
Seed files & mocks
Agents hallucinate on fake data that drifts from reality
Shared dev databases
One bad migration and every agent is down
No rollback
Agent makes a mistake? Good luck reverting manually
One agent at a time
Sequential experiments block your pipeline
Real production data
Every agent works on an exact clone of prod. Zero drift
Isolated sandboxes
Each agent gets its own environment. Full isolation
Instant rollback
Discard the clone. Production is untouched. Try again
Parallel experiments
N agents race on N clones from the same snapshot
Capabilities
Everything agents need to experiment safely
Isolated sandboxes. Parallel execution. Instant rollback. MCP integration.
Isolated sandboxes
Every agent gets its own clone. Full compute and storage isolation. Zero cross-contamination.
Parallel experiments
N agents, N clones, same snapshot. Race strategies simultaneously. Compare outcomes side by side.
Rollback on failure
Agent broke something? Discard the clone instantly. Production is untouched. Try a different approach.
Compare & promote
Review results from every agent. Promote the winning branch to production. Discard the rest.
Use cases
Let agents solve your hardest data problems
Migration bake-off
Have multiple agents propose schema migrations in parallel, each in its own sandbox. Compare schema diffs and replay timing. Promote the safest path to production.
Data-cleanup arena
Run several deduplication and enrichment strategies side by side on identical clones. Diff the row counts and quality scores. Promote the cleaner result.
Backfill race
Race backfill strategies across parallel sandboxes from the same production snapshot. Pick the fastest one that produces correct data.
Query / ORM eval
Different agents write different SQL or ORM code in their own sandboxes. Run them against real data, compare outputs, and pick whichever passes the eval.
Why Guepard
Traditional cloning vs. Guepard
Setup
Add Guepard to your agent in 60 seconds
Paste the config into your agent's settings. That's it. Your agent immediately gets access to 20+ MCP tools: fork databases, run queries, apply migrations, rollback mistakes.
{
"mcpServers": {
"guepard": {
"command": "docker",
"args": [
"run", "--rm", "-i",
"-e", "ACCESS_TOKEN=<GUEPARD_ACCESS_TOKEN>",
"mghassen/guepard-mcp-server:1.7.0"
]
}
}
}Compatible with every major agent framework