A benchmarking harness that runs identical coding tasks across OpenClaw, Nanobot, OpenFang, and other agent frameworks and publishes ranked results
Nanobot hit 34K stars by claiming to be OpenClaw in 4K lines of Python. OpenFang launched a Rust agent OS with 16K stars in 4 days. Developers have no way to compare these frameworks on actual performance, speed, cost, and code quality. Everyone picks based on GitHub stars and vibes. This tool runs identical coding tasks across every major agent framework and publishes reproducible benchmarks with cost, speed, correctness, and token efficiency so developers can pick the right tool.
Demand Breakdown
Social Proof 4 sources
Gap Assessment
2 tools exist (SWE-bench, Aider Leaderboard) but gaps remain: Python only, focused on bug fixing, no multi-framework runner, no cost tracking, no speed metrics; Only tests models through Aider, not competing frameworks, no real-world tasks, synthetic benchmarks only.
Features3 agent-ready prompts
Competitive LandscapeFREE
| Product | Does | Missing |
|---|---|---|
| SWE-bench | Benchmarks AI coding agents on real GitHub issues from popular Python repos | Python only, focused on bug fixing, no multi-framework runner, no cost tracking, no speed metrics |
| Aider Leaderboard | Benchmarks LLMs on code editing tasks using Aider | Only tests models through Aider, not competing frameworks, no real-world tasks, synthetic benchmarks only |
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