Use Cases

These agents autonomously write, review, debug, and deploy code across your codebase. Use them to ship faster, resolve GitHub issues hands-free, or pair-program at scale.

These agents search, synthesize, and summarize information from across the web and academic sources. Use them to accelerate competitive analysis, literature reviews, or real-time fact-finding.

These frameworks let you build, coordinate, and deploy networks of specialized agents working together. Use them when a single agent isn't enough and you need role-based delegation at scale.

These agents monitor on-chain signals, execute trades, and surface market intelligence in real time. Use them to stay ahead of the market without watching charts around the clock.

These agents navigate, click, fill forms, and extract data from any website without APIs. Use them to automate repetitive web workflows, scrape structured data, or run end-to-end tests.

These agents connect to your data sources, run queries, and produce structured insights or visualizations. Use them to replace ad-hoc SQL queries and turn raw data into decisions faster.

These agents handle inbound queries, route tickets, draft responses, and maintain context across long conversations. Use them to reduce support load while keeping response quality high.

These agents automatically review pull requests, flag bugs, suggest improvements, and enforce style guides. Use them to catch issues earlier and reduce review bottlenecks on your team.

Research agents help you scan sources, synthesize findings, and stay current without manually chasing every signal yourself.

Builder agents focus on shipping work: coding, debugging, workflow automation, and turning ideas into working systems.

Operator agents are useful for orchestration, delegation, queue management, and keeping repeated business workflows moving.