doeixd/opencode-ralph-rlm

OpenCode plugin: Ralph outer loop + RLM inner loop — iterative AI development with file-first discipline and sub-agent support

37
/ 100
Emerging

**Technical Summary:** Implements a two-tier AI coding loop where a strategist session (Ralph) supervises fresh worker sessions (RLM) that each load state from files rather than inheriting noisy context windows, ensuring each attempt starts with surgical precision and accumulated learnings without prior-turn noise. The architecture treats files as the persistent memory primitive—`PLAN.md`, `RLM_INSTRUCTIONS.md`, and `NOTES_AND_LEARNINGS.md` carry forward strategy and discoveries across disposable context windows, while `rlm_grep`/`rlm_slice` enforce surgical file access. Integrates as an OpenCode plugin and relies on a `verify.command` exit condition (tests, typechecks, linters) as the single source of truth for loop termination.

Available on npm.

No License No Dependents
Maintenance 10 / 25
Adoption 4 / 25
Maturity 10 / 25
Community 13 / 25

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Stars

5

Forks

2

Language

TypeScript

License

Category

ai-coding-loops

Last pushed

Feb 17, 2026

Commits (30d)

0

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