dtoro 5384499903 fix(tasks): plan panel showed only the latest step, not the full plan
Root cause: proposePlan unconditionally deleted and replaced the whole
session_plan_steps list on every call. The model isn't strictly held to
"call propose_plan once with the full list" — nothing stopped it (and
production evidence + live testing showed it happening) from calling
propose_plan once per step as it worked. Each such call wiped every
already-completed step, so the operator only ever saw the model's latest
single step ("1/1") instead of the real, growing plan.

Fix, two layers:
- store.go: proposePlan now only does a destructive replace when no step
  has left 'pending' yet (a genuine pre-execution revision). Once any step
  has started, a new call APPENDS after the current max seq instead of
  wiping — so the panel accumulates the full history regardless of how the
  model chooses to call the tool. plan.proposed now carries `appended` so
  the frontend knows whether to replace or append.
- workspace.ts: plan.proposed handler respects `appended` (update vs set).
- tasks.go / SOUL.md: strengthened the propose_plan description and task-
  loop guidance to call it ONCE with the complete step list end-to-end,
  using update_plan_step (not re-calling propose_plan) to advance — fixing
  the root behavioral cause, with the store-side append as a safety net
  that holds even if the model still calls it incrementally.

Verified: forced the exact incremental-call pattern (propose_plan with 1
step, mark it running, propose_plan again with 1 more step) — the second
call appended at seq 2 instead of erasing seq 1, and its plan.proposed
event carried appended=true.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-11 14:07:10 +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%