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Documentation Index

Fetch the complete documentation index at: https://docs.qredence.ai/llms.txt

Use this file to discover all available pages before exploring further.

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.

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Operations

OperationImplementationDescription
resetscripts/bootstrap_daytona_volume.pyInspect or reset a Daytona volume for wiki bootstrap
initSkill-guidedCreate SCHEMA.md, index.md, log.md in wiki root
ingestSkill-guidedCapture sources under raw/, then propose-then-update
querySkill-guidedAnswer questions from compiled wiki knowledge
lintSkill-guidedReport structural / semantic issues (read-only)
The reset operation has a standalone script; other operations are executed by the LLM following the skill workflow at skills/rlm-wiki/workflow.md.

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Prerequisites

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

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MCP servers

ServerPurpose
fleet-rlmDSPy / RLM orchestration (local)
context7Documentation fetching (remote)
neonPostgreSQL metadata (remote)
daytonaSandbox volume management (local)

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Usage

# Dry-run (safe inspection)
uv run python plugins/rlm-wiki/scripts/bootstrap_daytona_volume.py --dry-run

# Destructive reset (requires explicit confirmation)
uv run python plugins/rlm-wiki/scripts/bootstrap_daytona_volume.py \
  --wiki-domain "my-domain" \
  --confirm-reset "RESET:rlm-volume-dspy"
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.

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Validation

uv run pytest plugins/rlm-wiki/tests/test_bootstrap_daytona_volume.py
uv run python plugins/rlm-wiki/scripts/bootstrap_daytona_volume.py --dry-run