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rlm-wiki wraps Fleet-RLM with a Daytona-backed markdown wiki. Use it when research inputs are scattered across URLs, files, PDFs, and transcripts and you want the agent to build and maintain a durable knowledge base.

Operations

The reset operation has a standalone script; other operations are executed by the LLM following the skill workflow at skills/rlm-wiki/workflow.md.

Prerequisites

  • Daytona CLI installed and configured
  • Fleet-RLM source available
  • Python 3.11+ with uv

MCP servers

Usage

The reset flow is destructive. Do not run it as routine validation — use the --dry-run smoke test instead.
See skills/rlm-wiki/workflow.md for the full operating checklist.

Validation

Last modified on May 19, 2026