What does RunTrim save from each run?
The generated task contract, scope constraints, protected systems, and the outcome of the run it produced.
Prompt reuse
Save and reuse AI coding prompts across sessions.
Writing a good AI coding prompt takes time. RunTrim saves the prompts it generates so the next run starts from a verified base, not from memory.
Claude CodeCursorCodex CLIChatGPT
01 / The problem
What goes wrong
- Good AI coding prompts are rebuilt from scratch every session.
- There is no searchable record of prompts that produced clean results.
- Prompt quality degrades over time because engineers write from memory under time pressure.
02 / Root cause
Why this happens
- AI coding tools store conversation history, not reusable prompt templates.
- There is no standard format for capturing a prompt alongside its run outcome.
- Engineers move to the next task without saving what worked.
03 / Without RunTrim
Manual workaround
- 1Copy successful prompts into a notes file or local doc.
- 2Manually adapt saved prompts for new tasks with similar scope.
- 3Lose context about why a prompt worked when notes age or are not maintained.
04 / With RunTrim
RunTrim workflow
runtrim
local
$runtrim go "your task"
$runtrim memory
$runtrim memory --prompt
Privacy and trust
- Source code stays local in V1.
- No account required for the Free CLI.
- RunTrim stores generated prompts, run statuses, changed file paths, and local memory.
- Cloud sync is Pro early access and metadata-only.
05 / FAQ
Common questions
Can I reuse prompts across different agents?
Yes. Prompts generated by RunTrim are plain text and work in copy mode with any agent UI.
What does runtrim memory --prompt do?
It outputs a prompt-ready summary from local run memory including current state, missing proof, and next safe action.
Does RunTrim store manually written prompts?
RunTrim saves the prompts it generates from runtrim go and runtrim prepare. Prompts written and pasted directly into agents are not captured.
Is prompt history stored locally or in the cloud?
Prompt history is local in V1. Cloud sync is optional Pro early access and syncs metadata only.
Related resources
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.
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.
Reduce AI coding token waste with scoped tasks and local run memory.
Most AI coding token waste is not in the code. It is in repeated re-explanation, unscoped tasks that drag in unnecessary context, and sessions that restart after a limit.
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.
Save prompts that work
Use RunTrim to capture and reuse the prompts that produced clean results.
terminal
$npm install -g runtrim
$runtrim go "your task"
Free in V1 · No account required · Local-first · Agent-agnostic