rho

A coding agent you pair with.

Reads your code, runs your tests, and works the problem with you — on your machine, with your approval at every step.

Tools

Every tool rho ships - file operations, structured search, the Rust toolchain suite, crates.io lookup, and the knowledge base.

19 tools, one gate: everything below runs behind the same approval gate, sandbox, and secret redaction. A tool is a capability, not an exemption.

Files & editing

read_file — sandboxed reads in hashline format: every line carries a content-derived anchor. Edits cite anchors, so a stale read fails loudly instead of corrupting a file that changed underneath the model.

batch_read — up to 20 files, same format.

write_file / list_dir — what they say.

edit_file — hashline-anchored editing; rho verifies the content matches before applying. Legacy exact-match as a fallback.

Finding code

search_files — regex content search returning path:line: references, on an embedded engine rather than shelling out to grep. Ignores what your ignore files ignore.

find_files — name-glob lookup, same properties.

Both exist so the model locates code structurally instead of guessing at Get-ChildItem incantations.

Shell

run_command — PowerShell, through the denylist, inside the sandbox.

wait_for — polls a command server-side until it succeeds or times out. Waiting for CI costs one turn instead of a dozen Start-Sleep-and-check cycles burning the iteration budget.

Rust: check, fix, test

cargo_check / cargo_clippy / cargo_test / cargo_fix — run with NDJSON output. Diagnostics come back as error codes, source spans, and machine-applicable suggestions, dependency noise filtered. The model fixes the specific span rather than pattern-matching on prose.

Rust: docs & errors

rustc_explain — the long-form explanation for any error code.

rustdoc_lookup — standard-library docs from your locally installed toolchain, so answers match your Rust version, not training-data recall.

crates.io

crates_io_lookup — live crates.io data, four operations: search ranked by downloads, info (version, license, repo, docs), versions with yanked status, deps for the dependency tree. The model picks crates from current facts and can check whether one is maintained before adding it.

Memory

memory — a project-local knowledge base (SQLite/FTS5): store, search, get, update, delete, list. Design decisions and debugging discoveries persist across sessions, so the agent remembers why, not just what.

session_summary — compressed turn history for mid-session context recovery.