What are agent guardrails?
Guardrails define allowed scope, protected systems, and verification requirements before an agent starts editing.
Agent guardrails
Keep AI coding agents scoped before they edit.
Broad tasks can drift into auth, billing, env, database, middleware, and other sensitive areas. Guardrails reduce that risk.
Claude CodeCursorCodex CLIChatGPT
01 / The problem
What goes wrong
- Unscoped tasks lead agents into files that were not part of the goal.
- Sensitive systems can be changed accidentally during unrelated work.
- Post-run review is hard without explicit pre-run boundaries.
02 / Root cause
Why this happens
- Agents optimize for completion and may expand scope unless constrained.
- Prompt intent is often broader than the real engineering objective.
- Teams rely on implicit rules that are not machine-readable.
03 / Without RunTrim
Manual workaround
- 1Write a long preface describing files to avoid.
- 2Review diffs manually and compare against intent.
- 3Block risky changes late in the cycle after tokens were already spent.
04 / With RunTrim
RunTrim workflow
runtrim
local
$runtrim guard "your task"
$runtrim go "your task"
$runtrim watch
$runtrim check
Privacy and trust
- Source code stays local in V1.
- No account required for the Free CLI.
- RunTrim tracks metadata, prompts it generates, changed file paths, and local memory.
- Cloud sync is Pro early access and metadata-only.
05 / FAQ
Common questions
Can guardrails prevent every risky change?
No tool can guarantee that. RunTrim reduces risk by making scope explicit and checking changed paths after the run.
Does RunTrim work with Claude, Codex, Cursor, and ChatGPT?
Yes. It works in copy mode with any UI and can wrap configured local CLIs in command mode.
What does RunTrim track during guarded runs?
Run status, generated prompts, changed file paths, protected systems, verification debt, and local memory.
Related resources
A local-first control layer for AI coding agents.
RunTrim works in your repo. Free CLI has no account requirement. Cloud sync is optional Pro early access and metadata-only.
Keep run history across Claude, Codex, Cursor and ChatGPT.
AI coding gets messy when every session starts from scratch. RunTrim keeps local run memory visible between sessions.
Create continuation prompts when AI coding runs stop mid-task.
Good continuation prompts preserve operational state. They do not ask the next session to rediscover it.
Claude Code context limit? Continue the run without losing state.
When a run stops mid-task, the real cost is lost state. RunTrim keeps what changed, what is missing, and what to do next.
Add guardrails before edits
Define scope first, then verify changed paths before shipping agent-generated code.
terminal
$npm install -g runtrim
$runtrim go "your task"
Free in V1 · No account required · Local-first · Agent-agnostic