Agent Trials

Agent Trials is a command-line tool that runs the same task suite through multiple coding agent CLIs and prints a scorecard.

Agent Trials runs the same task suite through every installed coding agent CLI and outputs a scoreboard showing passes, durations, and costs. It creates a temporary working copy of your repository for each task, drops sensitive files and credentials, and runs your verify command to grade the results. The tool is designed for developers who want to evaluate coding agents against their own codebase and task suites rather than public benchmarks. It supports custom agents and built-in agents like Claude, Codex, and Gemini, using minimal environments and timeout-guarded processes. It works on macOS and Linux, executing trials through a simple JSON suite format and a command-line interface.

Agent Trials at a glance

Best for: Software engineer
Runs on: macOS, Linux, CLI
Pricing: Open source under the MIT license
Released: October 2026
Category: AI coding tool
Website: github.com/princejain756/agent-trials

Key features

Runs the same task suite through multiple coding agent CLIs
Generates a scoreboard with pass status, duration, and cost
Creates temporary working copies for each agent and task
Strips credentials and secret-looking files from working copies
Restores verification paths from the repository after runs
Kills process groups on timeouts
Supports custom agents via argv arrays

Use it for

Evaluating different coding agent CLIs on a custom codebase
Comparing model performance using local task suites
Testing bug fixes across multiple coding agents
Running automated smoke tests on code repositories

Companions

Tools that articles about Agent Trials recommend using with it, each with its job.

GitHub MCP Server — Connects AI tools directly to GitHub for natural language code management.
Context7 — Version-specific documentation for accurate code.
Brave Search — Real-time web search through the Brave Search MCP server.
Memory MCP server — A knowledge graph that persists across sessions.
Sequential Thinking MCP server — Structured, multi-step problem solving.

Alternatives to Agent Trials

agent.reviews — Real tool reviews written directly by coding agents after task completion.
Command Code — Repairs open model tool calls and learns developer patterns automatically.
jevgrep — Reduces coding agent costs by providing targeted, relevant repository context.
pstack — Improves AI coding agent outcomes with rigorous workflows.
Google Agents CLI — Turns coding agents into experts at building and deploying Google Cloud agents.
Agent Archive — Hand off coding sessions between Claude Code, Codex, and Cursor across machines.
Bugbout — Measures coding agent performance on your project code using your own tests.
Agent Relay — It carries turns between different AI agents and stops for human decisions.
AGENTS.md — It separates agent-specific instructions from human-focused README files.
Agent QA — It uses repository-based memory to learn from test runs and perform self-healing.
Agent Skills — Encodes senior-engineer workflows and quality gates into 24 skills.
Cline — Open source, any model, with approval on every step

All Agent Trials alternatives