AI Agent
Amp is an agentic coding platform from Sourcegraph that can understand codebases, edit files, run commands, investigate bugs, search external repositories, and work autonomously on software tasks. It is available on the web, in the terminal, in IDEs, and on mobile, with remote “orbs” that can continue working after the user closes their computer.
Full overview from our catalog (read-only reference).
Editorial notes to help compare fit before opening the vendor site.
Context from the listing review and editorial research.
Amp’s main differentiator is its focus on high-autonomy, frontier-model coding agents rather than ordinary autocomplete. Its Oracle, Librarian, parallel-agent, and remote-orb features make it particularly attractive for developers who want the AI to investigate, plan, edit, run commands, and continue working across complex tasks.
In-depth description and capability notes.
Agentic coding from natural-language instructions. Code generation, editing, refactoring, debugging, and testing. Smart, Rush, Deep, and other task-specific operating modes. Oracle read-only subagent for investigation, explanation, planning, and debugging. Librarian subagent for searching public and private GitHub codebases.
Building a feature across multiple files. Explaining an unfamiliar codebase. Finding and fixing bugs. Generating unit, integration, and regression tests. Refactoring legacy software. Reviewing code before a pull request. Searching public GitHub projects for implementation examples. Investigating how a framework or dependency works internally. Running long coding tasks remotely with orbs.