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