Extensible benchmarking suite for evaluating AI coding agents on web search tasks. Compare native search vs MCP servers (You.com, expanding) across multiple agents (Claude Code, Gemini, Droid, Codex, expanding) with automated Docker workflows and statistical analysis.
Evaluate multiple agents (Claude Code, Gemini, Droid, Codex) with different web search tools (builtin, You.com MCP) in isolated Docker containers.
This evaluation system runs a matrix comparison: 4 agents × 2 tools = 8 pairings, capturing full trajectories for analysis.
Key Features:
mcp-servers.tsflowchart TD
Env[SEARCH_PROVIDER env var] --> Entrypoint[docker/entrypoint]
Entrypoint -->|builtin| SkipMCP[Skip MCP setup]
Entrypoint -->|you| ConfigMCP[Configure MCP via CLI]
SkipMCP --> Harness[agent-eval-harness trials]
ConfigMCP --> Harness
Prompts[prompts.jsonl] --> Harness
Schemas[agent-schemas/*.json] --> Harness
Harness --> Results[data/results/YYYY-MM-DD/agent/tool.jsonl]
flowchart LR
Results[Trial Results<br/>YYYY-MM-DD/agent/tool.jsonl] --> Compare[compare.ts]
Grader[inline-grader.ts] --> Compare
Compare -->|weighted| Weighted[*-weighted.json<br/>Capability + Reliability]
Compare -->|statistical| Statistical[*-statistical.json<br/>Bootstrap CIs]
Weighted --> Report[report.ts]
Statistical --> Report
Report --> REPORT[REPORT.md<br/>Rankings + Analysis]
style Compare fill:#e1f5ff
style Report fill:#e1f5ff
style REPORT fill:#d4edda
📊 View Latest Evaluation Report - Comprehensive analysis with quality rankings, performance metrics, tool call stat
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