- dreaming.Service: deterministic memory replay sample keyed by dream id,
vocabulary-based association of unlinked memory pairs (similar_to edges +
dream_association events), speculative hypotheses as hypothesis-kind beliefs
with two weak memory citations (starts ~0.30, asserted <= 0.35)
- Run marks the context forbidden for capabilities before anything else;
test proves Invoke refuses inside a dream
- per-mind settings: enabled (default off), hours window (wraps midnight),
interval, model-call / memory / hypothesis caps; global pause switch
- optional model wording via new `dream` prompt (role hypothesise)
- promotion adds operator evidence, rejection retracts the belief; both
audited and recorded as operator actions
- migration 0014, API, Dreams tab and page, noemactl dreams, docs/dreaming.md
Phase 10. Metacognition is a cognitive process with deterministic
self-checks (insufficient evidence, single-source reliance, model output
without evidence, repeated failed hypotheses, stale contradictions,
calibration overconfidence); its warnings compete for attention and,
when admitted, add counter-evidence or open an investigation goal.
Reflection reviews the period since the last run (prediction errors,
rejected beliefs, corrections, status changes, completed goals,
contradictions, calibration), turns repeated failures into procedural
lessons written once, and records a reflection event; a model may only
word the prose within the mind's budget.
Consolidation clusters unconsolidated episodes by shared stemmed terms,
creates a belief whose confidence is computed from the episodes as
evidence and a semantic memory linked to each episode by derived_from,
and records jobs with inputs and outputs. Wording may come from the
consolidate prompt within a per-run model budget; the job says which.
Operators can run, pause and reject; originals are never touched.
The narrative hook keeps a five-part first-person narrative built from
state and stored with narrative_updated events. The notification hook
applies explicit thresholded rules, aggregates repeats within a cooldown
and records suppressions with reasons. A scheduled job runs
consolidation and reflection per mind, switching the runtime mode while
it works. API, Background tab, notifications page with unread badge,
overview narrative and warnings, CLI commands, docs/cognition.md.
Phase 7 (ADR-0004). Cognitive code asks the router for a role; the
router maps roles to configured models with ordered fallbacks, applies
global and per-mind daily token budgets and a concurrency limit, records
every call (request, response, usage, latency, cost, seed, request hash)
and can serve recordings back for exact replay. Providers are raw HTTP
clients for OpenAI-compatible, Anthropic and Ollama endpoints, with
embedding support for the embed role wired into memory retrieval.
Secrets are references only: env:, file:, or enc: values encrypted with
AES-256-GCM under NOEMA_MASTER_KEY; keys are resolved at call time and
never rendered, logged or exported. Outbound HTTP refuses private and
loopback addresses at dial time unless a provider explicitly allows it,
bounds redirects and caps bodies. Provider errors are scrubbed.
Prompts are named, versioned rows with system and user templates and an
optional JSON schema; untrusted text enters only through delimited data
blocks. Six defaults are seeded and never overwritten. The UI adds the
LLM page (providers, models, role matrix, usage, errors, budgets), a
provider page with connectivity test, and a prompt manager with editor,
test runner, history, restore, clone and diff. CLI: provider, prompt.
Andy Dixon