Problem: Repo had no developer guide, no client onboarding doc, no agent dev instructions. Stale files (675KB SQL dump, one-off convert script, legacy MCP builder) cluttered the tree. Client enrollment was a documented intention with no Go implementation. Changes: - New docs: CONTRIBUTING.md (dev setup), CLIENTS.md (client onboarding), .agents/dev/CONTRIBUTING.md (agent codebase map) - New plan: plans/2026-07-07-client-lifecycle-in-go.md — full client lifecycle (planned→provisioning→active→deprecated→destroyed) in Go, replacing archived Python secrets-issuance, adding client API endpoints and 6 missing MCP tools - Cleanup: deleted archive/convert-wiki.py (one-off), archive/mcp/ build_host_files.py (legacy), backups/pre-deploy-7f7d039.sql (local) - Fixes: plans/index.md duplicate row removed, README.md repo layout updated for current state, AGENTS.md header points to new guides Risk: low. Docs only + stale file deletion. No code changes. New plan is proposal, not implementation. Verification: git diff reviewed, all changes are prose/docs/plans.
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AGENTS.md — orientation for any agent on a homelab client
You are running on a machine that is part of the hubris homelab. The full
context is in this checkout at /opt/homelab-context/. This file is the entry
point. Read it once at start, then keep working.
- New client? Read CLIENTS.md first.
- Developing on this repo? Also read .agents/dev/CONTRIBUTING.md.
The operating model — OODA loop, risk classes, approval rules, the ontology,
and node lifecycle — is defined in OIKOS.md. Before any mutation,
classify the action against seeds/policy.yaml; when the class requires
approval, stop and ask the operator.
Agent-facing instruction lives under .agents/:
.agents/shared/ holds the conventions every agent applies
(writing-style, caveman,
page-templates, llm-wiki), and
.agents/domains/ holds the per-domain schemas
(knowledge, operations).
Source of truth: The Postgres database is the single source of truth for all
structured data and knowledge. It is bootstrapped from seeds/ at deploy time:
seeds/ontology.yaml (entity types, relationships, lifecycles), seeds/inventory.yaml
(hosts, services, entities), seeds/policy.yaml (risk classes, approval rules), and
seeds/knowledge.yaml (documents, investigations, runbooks). The old narrative wiki
is archived at archive/knowledge/ for historical reference.
1. Who you are
Run hostname (Linux) or scutil --get LocalHostName (macOS), then read:
/opt/homelab-context/inventory.yaml
That file tells you your role, your peers, what's mounted, and what services
you host. If it does not exist, this client was not enrolled — stop and tell
the operator to run homelab client add <hostname> from an existing client.
2. The topology
/opt/homelab-context/inventory.yaml— every host, LXC, VM, and workstation with their mesh addresses, roles, and service mappings. This is the seed file; at runtime the DB is authoritative (query via MCPget_entityor the REST API)./opt/homelab-context/seeds/knowledge.yaml— full narrative knowledge: 36 documents, 6 investigations, 12 runbooks. Ingested into the DB on deploy./opt/homelab-context/.agents/operations/commands.md— the operator's cheatsheet for pct, caddy, DNS, and the Oikos command surface.
3. The MCP server
The homelab exposes a Model Context Protocol server with structured tools.
Endpoint: https://mcp.hubris.network/mcp.
Available tools:
Context (read-only): get_entity(slug), list_entities(type, limit, cursor), get_relations(entity), get_blast_radius(entity), search_knowledge(query) — full-text search over documents, investigations, runbooks (PostgreSQL FTS, replaces the old Python search_docs) get_entity_knowledge(slug) — all documents, investigations, and runbooks linked to an entity get_topology(), whoami(hostname), list_my_secrets(caller_pubkey?)
Management (read-only): get_service_status(service), tail_log(service, lines=200), list_lxcs(), get_lxc_state(lxc), ping_service(service)
Oikos (read-only; see OIKOS.md): explain(service) — compact context card preflight(service) — risk class, approval requirement, verification command get_change_history(entity, limit=20) — change-ledger entries get_state_snapshot() — last scheduler Observe-pass (health, disk, drift count)
Mutations are not exposed via MCP. Use the homelab CLI for those, with
operator confirmation — see OIKOS.md's risk classes and approval flow.
When to prefer MCP over grepping the clone: always for knowledge queries.
search_knowledge("jellyfin hardware acceleration") returns ranked results from
the DB with entity links. get_entity_knowledge("lxc:jellyfin") returns documents,
runbooks, and investigations in one call. Grep the clone only when MCP is
unreachable.
4. Knowledge conventions
All narrative knowledge (documents, investigations, runbooks) lives in the DB
(knowledge_entities table) and is seeded from seeds/knowledge.yaml. Agents
can register new knowledge via the API:
POST /api/v1/knowledge/{entity_slug}
{"title": "...", "content": "...", "tags": ["..."]}
The DB is the truth. The old wiki files are archived at archive/knowledge/ for
historical reference.
- Runbook procedures live as
runbookentities in the DB and as SKILL.md files under.agents/skills/<name>/. They carryrisk_class,procedure(JSON-schema-validated), and are linked to entity types viaapplies_to_type. - Investigations are
investigationentities linked to affected entities viaaboutedges. - Documents are
documententities linked to entities viadocumentsedges. They carryat_glance(structured attributes) andchangelog(parsed entries). - Live state precedence. If you observe a discrepancy between the docs and
running state, update the DB in the same session via the API. The
oikos exportcommand regeneratesseeds/knowledge.yamlfor version control.
5. Acting on the homelab
- Read state: use MCP tools. Hermes (the AI agent) is the primary operator interface — it has 21 MCP tools for observe/orient/decide/act.
- Actions (restart, logs, apt, pct exec): Hermes calls
request_executionvia MCP.reversible_lowactions execute immediately;config_mutationanddestructiveactions are queued for operator approval via Matrix. - Secrets: managed by Infisical (
oikos secretsubcommand for migration). Never hardcode secrets — use env vars from.env. - Mutations (restart, edit configs, etc.): classified against
seeds/policy.yaml.reversible_lowactions auto-execute;config_mutation/destructiveactions require approval. a valid--approval-idfromhomelab approval request— see OIKOS.md.
6. Communication mode
Read and apply /opt/homelab-context/.agents/shared/caveman.md (if present). It defines the lab's
terse-communication standard — drop filler, keep substance, use fragments.
7. Auto-setup mechanism
The homelab-context repo ships tooling that gets automatically installed
on every client after git pull. This is handled by tools/post-pull.sh
(replaces the raw git pull in the sync timer) which runs any script matching
tools/*.setup.sh after pull.
Currently auto-setup:
- Caveman + templates (
tools/setup-caveman.sh): Installs Caveman npm package, wrapper scripts, and compact output templates for token-efficient CLI output. Wrapper at~/bin/caveman_wrapper.sh. - Hermes agent persona (
tools/setup-hermes-soul.sh): Provisions~/.hermes/SOUL.mdfromHERMES.mdon Hermes agents. This ensures every Hermes agent follows the canonical homelab persona (token efficiency, source of truth hierarchy). No-op on non-Hermes agents.
To add a new auto-setup, create tools/<name>.setup.sh in the repo,
commit and push. All enrolled clients pick it up within 5 minutes.
To trigger sync manually: sudo homelab sync or wait for the 5-min timer.
8. When in doubt
Use MCP tools: search_knowledge <query> for narrative context,
get_entity <slug> for structured data, get_entity_knowledge <slug> for
everything linked to an entity. The clone is the fallback; MCP is the index.