AgentVet.ai
AI agent reviews, benchmarks & live token pricing
AgentVet.ai launched on May 29, 2026 with 15 votes, #1,002 of 20,538 launches that month and more than 95% of that year's launches.
What it does
Which AI Agent can I use to do my work today? AgentVet.ai combines AI agent discovery, community reviews, benchmark testing, and live token pricing into one platform. Compare agents side-by-side, verify performance claims, and discover which AI tools are truly worth using.
Discover, compare, and review AI agents, vetted by real users. AgentVet.ai is the people-powered guide to AI Agents, with independent benchmarks and verified certifications.
Discover, compare, and review AI agents — vetted by real users and independently benchmarked by AgentVet Lab. Agents are evaluated for accuracy, speed, ease of use, reliability and value. Agents are tested against adversarial instructions and unsafe data-exfiltration attempts. Data as of September 7, 2026 , refreshed live in your browser. Enterprise conversational AI platform for voice and chat customer support automation. Voice AI platform for real-time speech-to-speech agents that listen, reason, call tools, and respond. AI code reviewer with full codebase understanding — catches bugs, security risks, and style issues in every PR. AI Agent Factory for building, deploying, and scaling…from agentvet.ai
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Coarena by CoastyAug 2026 · coarena.ai · ▲111We built a computer use agent once and got it benchmarked at the 2nd position in the biggest benchmark for this field but in the process, we realized one thing, how outdated and inefficient these benchmarks are and how they don't truly capture how these tasks went. So we thought a community led benchmarking arena would be the way to go about. https://coarena.ai/. You just have to put in a task and two side by side windows with hidden models will show up and do the same task and at the end you vote which one did better(or none). We have a leaderboard where we rank all the…
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
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