Most benchmarks test agents on short-horizon reasoning, not real-world, long-running tasks with stateful environments.
To solve this, @agenthublabs is launching Benchmarks: one-click testing for your agents on realistic, economically valuable tasks, starting with E-Commerce and CRM automations. No infra setup needed.
Try it for free at https://t.co/jqq3BUJ5K8.
Today, we're launching Village to let investors orchestrate teams of agents to scale their judgment.
Three years ago, we bet that both humans and agents would need new tools to fulfill the promise of LLMs to transform research. Village is that tool, the first IDE for research built from the ground up so your agents can answer bigger questions, learn from your feedback, and build the AI research infrastructure for your firm.
We're starting with public equity research, enabled by our EDGAR and earnings call transcript datasets, and we'd love to hear what use-cases you'd like to see next.
The feeling of manipulating huge amounts of information and collaborating with hundreds of Assistants is really special, and I'm excited for you to experience it. Our beta sign up link is below!
Scootered all over SF with @ymkallel and @sandrtang to make this install happen.
Featuring @agenthublabs (YC S25) .
Excited to be working together to sim and eval our AI agents!
@ycombinator@agenthublabs@ymkallel and I are excited to launch @agenthublabs and help close the feedback loop to evaluate and improve agent performance! Feel free to reach out to us anytime!
AgentHub (@agenthublabs) is the missing layer in the AI agent stack: simulation and evaluation for complex agents.
Agents today use tools, APIs, browsers, file systems, and more - AgentHub builds realistic sandbox environments and the infra to easily test them.
AgentHub just launched on @ycombinator's Launch YC!
💻 AgentHub 📈 - The Staging Environment for your AI Agents. We help you evaluate and improve your agents. Check it out: https://t.co/LPw9tD4Z7K