AI Agents
MCP Ready

Zero-risk agent sandboxes

Every AI agent gets its own isolated database clone. Run experiments in parallel. Compare results. Promote the winner. Zero risk to production.

Works with Cursor, Claude, Windsurf, and every MCP-compatible agent.

<6s
Clone creation time
0
Risk to production
Parallel agent sandboxes
100%
Production data parity
Agentic Arena

Let agents compete. Promote the winner.

Spin up parallel clones from the same snapshot. Let multiple agents race on isolated sandboxes. Compare results side by side. Promote the best outcome to production.

Arena Session #47

Task: Migrate users table to UUID primary keys

3 agents running

Claude Code

BEST

0 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

3 clones from snapshot snap_a8f2c · 2.4 TB each · 0 MB additional storage
promote winner →
01

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.

02

Agents compete in parallel

Each agent gets its own isolated sandbox. They run their approach simultaneously. Different strategies, same real data, zero interference.

03

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

Without Guepard

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

With Guepard

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

Safety

Safe Migrations

Agents test every schema migration on an isolated clone. If anything breaks, rollback instantly. Merge to production only when green.

Quality

Data Cleaning

Let agents deduplicate, standardize, and enrich data on an exact copy of production. Validate results before promoting to the real thing.

Operations

Backfills

Run large backfill operations on a clone first. Verify correctness, measure performance, then replay the operation on production with confidence.

Validation

Code Verification

Agents that write code verify their queries and ORM changes against real data. Not fixtures that lie about edge cases.

Why Guepard

Traditional cloning vs. Guepard

Clone creation
Traditional:Hours / Days
Guepard:< 6 seconds
Storage per clone
Traditional:Full DB copy
Guepard:Only deltas (copy-on-write)
Data parity
Traditional:Stale seed files
Guepard:100% production mirror
Clone limit
Traditional:5–15 replicas
Guepard:Unlimited
Compute cost
Traditional:Always on
Guepard:Autoscale to zero
Isolation
Traditional:Shared instance
Guepard:Full compute + storage
Cleanup
Traditional:Manual / forgotten
Guepard:Automatic on completion

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.

One-line Docker setup, no dependencies
Agents never touch production. Full isolation
Compute autoscales to zero when idle
cursor settings.json
{
  "mcpServers": {
    "guepard": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "-e", "ACCESS_TOKEN=<GUEPARD_ACCESS_TOKEN>",
        "mghassen/guepard-mcp-server:1.7.0"
      ]
    }
  }
}
Guepard MCP connected. 20 tools available.

Compatible with every major agent framework

CursorClaude CodeClaude DesktopWindsurfContinueOpenAI Agents SDKLangChainCrewAIAutoGenVercel AI SDK

Safe AI experiments at scale

Give every agent a production-identical sandbox. Clone in seconds. Experiment freely. Promote what works.