Every step an agent takes — visible, replayable
Web search, doc reads, code edits, shell commands — every step streams into the chat in real time and stays there.
The reasoning unfolds in the chat
Not just a final answer — every search, read, write and command surfaces as its own card. Open the details, copy results, jump to the source. The whole reasoning is transparent.
Research recent advances in the AI agent space and put together a report.
R
Let me first search high-quality sources, then build a comparison report:
The state of AI agents in 2026
a16z.com
From ReAct to long-running autonomy — a survey of how agent frameworks evolved and what's running in production.
Anthropic releases Claude 4.7
anthropic.com·Apr 2026
Opus 4.7 improves on SWE-bench and multi-step reasoning, with 1M context now generally available.
LangGraph vs CrewAI: a 2026 comparison
blog.langchain.dev
How two leading agent orchestration frameworks compare on production stability, observability, and ops cost.
Writeresearch-report.pdf
Covers the operations you actually need
Web search, page fetch, document parsing, shell commands, file read and write, pattern matching, scheduling, sub-agent calls, Skill reuse — most of what daily work asks for.
Web Search
Search pages, extract sources
Page Fetch
Read and parse any URL
Deep Research
Multi-step, verified
Shell
Run scripts in the sandbox
File I/O
Edit, create, append
Content Search
Grep across code and docs
Code runs in an isolated sandbox
Commands, file edits and scripts all run in the agent's dedicated sandbox — your local environment stays clean, production stays untouched. Need to preview a website? The sandbox can expose a public URL.
Build a landing page and give me a public URL.
C
Spinning up a Next.js project and exposing a public URL from the sandbox:
Bash$ npx create-next-app@latest landing
Editsrc/app/page.tsx
Bash$ vb sandbox expose --port 3000
See how an agent actually works
Sign in to watch agents operate in real time — transparent, reviewable, replayable.