AI Agent That Reads and Edits Files

Highlights

• Read any text-based file

  Code, markdown, JSON, CSV, configuration. The agent reads the file, reasons about it, and decides whether the next step is an edit, a search, or a question.

• Edit with diff approval

  When the agent proposes an edit, you see the change before it is written. Per-action approval applies to every file write.

• Grep across a directory

  Find symbols, references, or strings anywhere in a project. The agent feeds the matches into reasoning rather than asking you to copy them in.

• Path-scoped access

  Grant the agent access to specific directories. It cannot read or write outside those paths.

Why direct file access matters

Pasting a file into a chat loses context — line numbers, neighboring files, project structure. Direct file access lets the agent reason about the actual artifact, navigate references, and make multi-file changes that stay coherent. It also enables real workflows: clean up a notes folder, refactor across files, generate a summary report from raw exports.

How safety works

File writes — including edits, renames, and deletions — are gated by per-action approval. The agent shows the diff or destination before acting. The activity log records every read and write so you can audit what happened. Combined with path scoping, this keeps a powerful tool within sensible bounds.

Frequently asked questions

Can the agent edit my files without asking?

No. Every file write — edit, rename, move, delete — requires explicit user approval. The agent shows the proposed change before it happens.

What file formats does it support?

Any text-based format: code, markdown, JSON, YAML, CSV, TSV, plain text, and most configuration formats. PDF and document formats are handled as text. Binary file content is not directly editable by the agent.

Can it work across many files?

Yes. Multi-file edits are common — refactors, mass renames, batch updates. The agent reasons across the project and asks for approval per change or per batch depending on how you configure the workflow.

How is path scoping configured?

When you point the agent at a working directory, that directory becomes the scope for the session. The agent cannot read or write outside it without an explicit access grant.

Are file contents sent to the model?

Only the immediate context for the current step is sent to the integrated model endpoint via Lapu AI infrastructure. The agent does not stream entire files unprompted.

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• Use cases