ConTree for SWE Agents

Researching SWE agents is hard: there are thousands of heavy-weight environments, setup is slow, and reproducibility is fragile. ConTree provides a branchable, VM-isolated sandbox designed for rapid experimentation across thousands of SWE environments - over 7,000 are preloaded out of the box.

Purpose-built for SWE agent research

• Thousands of ready-to-run SWE environments, so you can benchmark agents with minimal infrastructure setup.

• Git-like branching to try multiple patches or strategies in parallel from the same checkpoint, then keep only the winning branch: MCTS, Beam Search, rollbacks, value-function estimation.

• VM-level isolation with per-run metrics to keep generated code contained and experiments auditable.

Environment catalog

Pick from the preloaded catalog rather than building or pulling terabytes of images yourself. What’s included now:

• SWE-bench Verified

• SWE-rebench

Integrations

• Out-of-the-box support for mini-swe-agent: evaluate on thousands of preloaded SWE environments.

• Integrate your own agent via ConTree SDK or REST API Reference.

• Connect via MCP to plug ConTree sandboxes directly into AI assistants that speak the Model Context Protocol.