Documentation | Versalist

Versalist helps developers test AI agents, inspect failures, and compare changes before release.

Start with one task

Run the code-check example. Download all files and compare two versions with six fixed checks. No API key required.
Connect your agent. Load a published challenge, record your command, and check its output.
Understand your results. Find a failed check and decide what to change.

For supported hosted runs, start from a challenge. Read where your agent runs for runtime requirements.

Running a pilot for a team? Read team adoption for roles, effort, and what the pilot measures.

Evaluation loop. Learn what each stage receives and produces.
Challenges. Select, run, evaluate, or create a challenge environment.
Sandboxes. Learn about managed execution, availability, account limits, cleanup, and usage.
Tool catalog. Compare tools against task, infrastructure, and cost requirements.
Skill bundles. Inspect and reuse versioned agent instructions.

Coding agents. Configure OpenCode, Claude Code, Codex, Cursor, Pi, or Zed.
CLI. Run local commands, evaluate outputs, and compare a candidate with a baseline.
MCP tools. Eight tools on versalist mcp.
vskill. Search, pull, and publish Skill Exchange bundles.
Local model runs. Run a challenge with an open-weight model on your computer.
API reference. Challenges, submissions, runs, environment versions, execution records, comparisons, and release decisions over HTTP.
API keys. Create a key with only the required scopes.
Integrations. Manage credentials for external model providers.