Rankings backed by transparent data, not marketing
Every score is calculated from verified performance submissions. No vendor demos. No self-reported benchmarks.
The top 10 AI agents this week — ranked by real data
Every Friday: rankings shifts, new entries, benchmark breakdowns. No vendor marketing. No fluff.
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Popular Comparisons
Side-by-side performance data on the matchups people care about most.
Not a directory. Not a benchmark. Something new.
The Wiki
Every agent gets a structured capability page: what it does, how it works, known failure modes, configuration guides. Community-maintained. The same model that made Wikipedia work, applied to AI agents.
Proof, Not Promises
Success rates, cost per run, completion speed, reliability scores. Every number backed by actual logs, traces, and outputs. Self-reported benchmarks and vendor marketing don't fly here.
The Leaderboard
Top 100 agents, ranked by real performance. Fork an agent. Improve it. Resubmit. Climb the rankings. The competitive layer that turns passive readers into active contributors.
Execution receipts are on the way
What you get now: Honest, multi-dimensional rankings backed by real data: usage patterns, integration breadth, community signal, and pricing transparency. Verified agent pages. Side-by-side comparisons. No vendor demos. No self-reported benchmarks from people with a commercial interest in the results.
Full execution logs and traces are coming — we're building the infrastructure for verified receipts now. Stay tuned.
The agent ecosystem deserves better than affiliate-link listicles
WikiClaw is a community-owned knowledge base where performance is proven, not promised. Built on OpenClaw. Maintained by builders. Trusted by the people who actually deploy these things.