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feat: knowledge write-back (upsert_knowledge) + proactive outcome reporting
From the last (successful) TypeType deploy session, two gaps the operator hit:

1. Knowledge write-back — the missing half of the loop.
   The agent could read the knowledge base (search_knowledge/get_entity_knowledge)
   but had no way to WRITE it, so everything it learned (the Dragonfly memlock
   rlimit gotcha, the NAT-hairpin DNS issue, etc.) lived only in an ephemeral
   chat message and was lost — the system could never actually "get better."
   This is the `upsert_knowledge` MCP tool the 2026-07-08 gaps plan called for.
   - internal/mcp/server.go: upsert_knowledge(title, content, about?, tags?,
     kind?) writes a document/investigation/runbook entity + knowledge_entities
     row (search column is generated), upserts by slug so re-titling updates in
     place, and optionally links it to the entity it's about so
     get_entity_knowledge surfaces it there.
   - SOUL.md: capture non-obvious findings/deploys/gotchas as part of finishing
     work, not only when asked "what did we learn".

2. "I had to ask for status multiple times."
   The clearest cause: a long working turn (64 tool calls) that exhausted the
   iteration cap ended with a bare "max iterations reached without final
   answer" — a dead end that forced the operator to ask what happened.
   - cmd/nomos/agent.go: on exhaustion, make one final no-tools LLM call
     (finalSummary) asking for a status report — what was accomplished, current
     state, what remains — so the turn always ends with a real outcome.
   - maxIterations 25 -> 40 (the decomposed per-step pct_create flow legitimately
     needs more steps).
   - SOUL.md: always end a turn with a clear outcome; never end silently or on a
     bare tool call — the operator can't see the tools working and reads silence
     as "nothing happened".

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-10 19:07:11 +02:00

Oikos

Agentic homelab operating system written in Go. Single binary (cmd/oikos), Docker-deployed on mac-mini, with a standalone Nomos MCP agent gateway (cmd/nomos). Manages the hubris Proxmox homelab autonomously — observes state, classifies actions against policy, executes approved procedures over SSH, learns from outcomes, and escalates when uncertain.

For agents running on enrolled clients: start with AGENTS.md. For client machines: see CLIENTS.md. For developers: see CONTRIBUTING.md.

Quick start

# Dev stack (postgres + api + scheduler + notifier)
docker compose --profile dev up -d

# Full stack (adds Nomos agent gateway)
docker compose --profile full up -d

# Build standalone binary
go build -o bin/oikos -tags timetzdata ./cmd/oikos

# Run all roles in one process (dev mode)
OIKOS_DATABASE_URL="postgres://oikos:oikos_dev@localhost:5432/oikos?sslmode=disable" \
  go run ./cmd/oikos all

Architecture

                  ┌──────────────────────────────────┐
                  │         mac-mini (Docker)         │
                  │                                   │
  Workstation ─── │  nomos (8092) ──MCP── api (8090) │
  (mesh)          │    MCP gateway      REST + MCP    │
                  │                                   │
                  │  scheduler ── notifier ── postgres │
                  │  (observe)    (Matrix)   (Timescale)│
                  └──────────────────────────────────┘
Component Port Role
oikos api 8090 REST API + MCP server (15 tools)
oikos scheduler Probe runner, signal lifecycle, metrics
oikos notifier Approval tokens, Matrix alerts
nomos serve 8092 MCP client gateway, query routing

Phases

Phase Status Description
1 — Ontology + DB TimescaleDB, migrations, seeds, blast_radius
2 — API OpenAPI-first REST + MCP, auth, SSE, audit
3 — Control loop Scheduler, actuator, learning, classifier, notifier
4 — Nomos agent Standalone MCP client gateway, agent activity
5 — Secrets Infisical backend + SOPS fallback, rotation runbooks
6 — Deploy CI pipeline, cutover checklist, watchdog, rollback

Full plan: plans/2026-07-06-consolidate-oikos-control-plane-onto-mac-mini.md.

Operations

API endpoints

curl http://localhost:8090/api/v1/entities?type=service  # fleet
curl http://localhost:8090/api/v1/health                  # fleet health
curl http://localhost:8090/api/v1/agent-activity          # agent log

Nomos queries

# Structured tool call
curl -X POST localhost:8092/query -H "Content-Type: application/json" \
  -d '{"tool":"get_blast_radius","args":{"entity_id":"service:authentik"}}'

# Natural language
curl -X POST localhost:8092/query -H "Content-Type: application/json" \
  -d '{"query":"what depends on authentik?"}'

CLI

oikos migrate     # apply DB migrations
oikos seed        # ingest ontology/inventory/policy seeds
oikos export      # export DB state to YAML
oikos api         # serve REST + MCP
oikos scheduler   # run observe loop
oikos notifier    # run notification loop
oikos all         # all roles in one process
oikos secret list # enumerate SOPS secrets
oikos secret migrate  # SOPS → Infisical

Repo layout

cmd/oikos/          Go entry point — single binary
cmd/nomos/          Nomos MCP client gateway
internal/           Go packages (httpapi, mcp, scheduler, actuator, learning,
                    notifier, policy, secrets, db, config, ontology, domain,
                    knowledge)
api/openapi.yaml    API contract (OpenAPI 3.1)
migrations/         Forward-only SQL migrations (TimescaleDB)
seeds/              Bootstrap YAML (ontology, inventory, policy, knowledge)
compose/            Dockerfiles + Caddy config
scripts/            Deploy, watchdog, verification, rollback
nomos/              Nomos config, persona, skills
.agents/            Agent instruction files, shared conventions, skills
archive/            Historical reference (legacy wiki, plans, SOPS backups)
plans/              Design documents (active + done)
docs/adr/           Architecture decision records

For agents

See AGENTS.md for the full orientation. Quick reference:

  • Source of truth: DB (runtime) then seeds (bootstrap). Old wiki is archived at archive/knowledge/ — use MCP search_knowledge instead.
  • Mutations: classify against policy, request approval for destructive/config_mutation
  • Secrets: Infisical (primary) or SOPS (fallback) — never hardcode
Description
Agentic OS for running a Homelab
Readme 37 MiB
Languages
Go 53.1%
Svelte 25.7%
TypeScript 14%
Shell 3.8%
Python 1.7%
Other 1.5%