Vikunja #363. The follow-up session was a plain in-memory map, so any
mavend restart dropped the thread. It now mirrors to a small TTL-pruned
sqlite table and is loaded on startup; expired sessions are deleted on
load, not revived. Clarify's pending question is untouched.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
An unclear answer used to end the request on the spot. Now she re-asks the same
question while attempts remain, and when they run out she says
"Прости, я не поняла. Скажи, пожалуйста, по-другому." — silence would leave him
thinking it was handled. Same reply when the missing slot has no question to
ask, and as a floor in finishClarified so an empty reply can never ship.
Tests: three questions allowed, the fourth gives up out loud, the cap is
configurable, and a restated time is the one that lands.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
The system prompt showed the JSON contract as {"response": "..."} and the
user prompt repeated it. A 0.8B copies whatever sits in the response slot, so
7 of 15 nudges came back as literally "...".
Changes, all prompt-side — the {"response","mood"} contract is unchanged:
- nudge system prompt is Russian, feminine self-reference, with filled-in
examples on topics that never appear as rules, so copying them is visible
- rule names get a Russian gloss and a required keyword, named last in the
prompt where a small model weights it hardest
- durations render in Russian, not English
- the no-parse fallback says something Russian instead of "water — care",
which was going straight to a Russian piper voice
- same "..." placeholder removed from replier_llm.go
Scored on internal/phraser/eval: 0/15 -> 13/15.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
The e5 embedder puts every cosine in one narrow band (0.79-0.89), so the
absolute query_min_score gate cannot tell a real hit from a made-up
question: any value under the band answers everything, any value above it
answers nothing. False recall was 5/5.
New gate asks whether one note is clearly the best instead: top1 - top2 >
delta. New query_min_margin config knob, default 0.008, read off the sweep
in the recall harness. The absolute floor stays as a second check.
On the recall fixture with e5: answered 72% -> 68%, false recall 5/5 -> 1/5.
Vikunja #359
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
The two things that made this unsafe are fixed: the router can now
refuse, and slot extraction runs on its decisions.
On the held-out fixture it gets 63.2% of intents right against the
classifier's 50.0%, with no route errors. It costs about a second a
turn instead of 30ms.
The flag is a pointer now, so leaving it out of the config means on
and only writing false turns it off.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
Note recall is asymmetric: a short question goes in, a longer note comes
out. Adds EmbedQuery/EmbedPassage helpers and the e5 prefixes, and points
the note/fact write path at the passage side and the query path at the
query side. Reviewers: the three call sites in voice.go.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
Two merge fixes on top of the branch:
- migrations: keep both new steps, snooze stays #8, the routine columns
become #9. Both agents had numbered theirs #8.
- accepting no longer takes a reminder id, on the web surface too. The
web accept path had the same one-shot-reminder bug the voice path did,
so both now just flip the status and let the tick loop schedule.
The test that asserted "accept creates a reminder and links it" asserted
the bug. It now asserts that accepting creates no reminder.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
The tick loop now reads accepted routines from the store and nudges when
their interval has passed; accepting no longer builds a one-shot reminder.
Look at routine.DueAccepted for the schedule rule (no catch-up backlog) and
at fireAcceptedRoutines for the restraint gate — routines do not bypass it.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
Data layer only. Migration #8 adds accepted_ts and last_fired_ts to
proposed_routines, plus ListAcceptedRoutines and MarkRoutineFired so the
tick loop can own the schedule. Accepting no longer links a reminder id.
Look at the TODO(vikunja#366) in cmd/mavend/tick.go for the next commit.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
Covers: a reminder with no time is asked about and completes on the answer; the
same for a fact; an answer past the TTL falls through as a fresh utterance; a
second unclear answer drops the request with no second question; a clarified act
off the allowlist neither runs nor gets enabled; a clarified destructive act
still parks a confirm; noise keeps the canned reply. No model, no network.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
On a clarify decision with one identifiable gap she now asks instead of saying
"не поняла", and parks the request. The next utterance is parsed as the answer
with the router's own extractor and the completed decision runs through
applyAction like any other — so a clarified act still needs the allowlist and
still hits the destructive confirm gate. An answer that does not fill the gap
drops the request; she never asks twice. Also pulls the session-store block
that HandlePushToTalk and handleText both had into rememberTurn, since the
clarify path needed a third copy.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
A table per intent (reminder needs a time, fact needs a key, act needs a fn)
plus one fixed Russian question per slot. Templates, not model output: a 0.8B
would wander and a question that rewords itself is harder to answer. Note,
query, chat and system get no question — for those a clarify decision keeps
the canned reply rather than inventing a question for noise.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
Covers: a reminder with no time is asked about and completes on the answer; the
same for a fact; an answer past the TTL falls through as a fresh utterance; a
second unclear answer drops the request with no second question; a clarified act
off the allowlist neither runs nor gets enabled; a clarified destructive act
still parks a confirm; noise keeps the canned reply. No model, no network.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
On a clarify decision with one identifiable gap she now asks instead of saying
"не поняла", and parks the request. The next utterance is parsed as the answer
with the router's own extractor and the completed decision runs through
applyAction like any other — so a clarified act still needs the allowlist and
still hits the destructive confirm gate. An answer that does not fill the gap
drops the request; she never asks twice. Also pulls the session-store block
that HandlePushToTalk and handleText both had into rememberTurn, since the
clarify path needed a third copy.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
Accepting a routine gives the trigger loop a new standing reason to speak to
the human, so it is the same authority tier as enabling a tool and shares the
stepUpOK gate; dismiss only ever makes maven quieter, so it is ungated.
Look at handleRoutines and acceptRoutine in cmd/mavweb/main.go: accept creates
the recurring reminder, then links it via the new ipc AcceptProposedRoutine.
The page now says what maven noticed in her own words (pattern.PhraseRoutine).
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
A table per intent (reminder needs a time, fact needs a key, act needs a fn)
plus one fixed Russian question per slot. Templates, not model output: a 0.8B
would wander and a question that rewords itself is harder to answer. Note,
query, chat and system get no question — for those a clarify decision keeps
the canned reply rather than inventing a question for noise.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
Wires cmd/mavend/voice.go to build the LLM router when the operator asks
for it. Default false, so nothing changes on the deploy box.
Look at pickLLMRouter: the flag on with no llama-server logs one line and
keeps the classifier, it never fails a turn.
The default stays off until the router can refuse (#359) and the extractor
runs on LLM decisions — both noted as TODOs in config.go.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
The review's verification plan needs an instrument to settle whether the
classifier or the LLM router handles RU queries better, but that comparison
only means something if the daemon's own safety invariants are pinned
independently first.
These scenarios are deliberately narrow. They consume already-normalized
router decisions and assert what the post-router daemon owns: that a decision
requiring confirmation cannot execute before it is confirmed, that an
unresolved entity is never guessed at, and that named capabilities stay
unexecuted. Model routing quality is a separate question, evaluated against a
held-out contract fixture — mixing the two would produce a suite that fails for
two unrelated reasons.
The fixture is versioned (schema_version) so scenarios can be added without
rewriting the loader.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01X5JApcrCRVGmqrxnhynSik
Backlog item #3 (20-07-2026-BACKLOG.md). A morning routine is a checklist for
a daily window: several items, each evidenced by a fact key, completed in any
order, checked once near the end of the window. Modelling it as four
independent reminder timers would stack into exactly the kind of noise Maven is
supposed not to produce, so the engine nags at most once per day per routine
and only for what is actually still missing.
internal/morning follows the established pure-engine pattern (loop, routine,
pattern): no store, no clock of its own. Evaluate answers "what's still
missing" at any point; Due decides whether to nag. The impurity — reading
facts under the store lock, holding the last-nudge map across ticks — stays in
the tick driver, which calls Due each tick exactly as it does for loop.Rule
and routine.Routine.
Completion evidence is a fact key's latest non-voided value timestamped inside
today's window, so manual ("выпил воды", voice-tapped) and inferred (another
daemon writing the same key) are indistinguishable and both count. Weekdays
scopes which days a routine applies to, so weekday/weekend variants are two
routine rows rather than a special case in the engine.
Exposed read-only: a MorningStatus RPC over ipc, and a /morning page in mavweb
built on the same server-rendered shape as /trace — no live-update loop, since
checklist state moves on the scale of minutes.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01X5JApcrCRVGmqrxnhynSik
The most load-bearing decision in the project was stated four incompatible
ways: the docs said Qwen3-1.7B, deploy/mavend.json said Qwen3.5-2B, the repo's
models/llm/ held an LFM2.5-1.2B gguf, and five code comments still said LFM.
Answering "which model is deployed" meant re-deriving it from scratch every
time.
Two facts the review missed, found while resolving it:
- /mnt/hdd1/llms is bind-mounted over /opt/maven/models/llm, which shadows the
repo's models/llm/. The LFM2.5 gguf sitting there was never loaded by
anything, so it was not evidence of the deployed model at all.
- That library holds Qwen3.5-0.8B, -2B and -4B, and no Qwen3-1.7B. The config
pointed at a file that does exist; the docs' Qwen3-1.7B was the stale claim,
the reverse of the assumed direction. Qwen3-1.7B is the CPT target, and that
training is still in flight (Vikunja #122), so no such gguf exists yet.
phraser.model_path moves to Qwen3.5-0.8B (Q4_K_M) — the smallest checkpoint on
disk, chosen for latency, and relevant to whether the LLM router is affordable
on this box. Docs and comments now say the same thing in one voice: 0.8B
resident now, CPT'd Qwen3-1.7B as the target, and the bind-mount shadowing
written down so the next reader does not mistake models/llm/ for ground truth.
Comments name the model, never a filename, so a swap stays a one-line config
change.
n_gpu_layers: 99 is correct and stays — compose passes /dev/dri and the render
gid for Vulkan offload to the Vega iGPU. CLAUDE.md's "CPU-only" was the stale
half of that contradiction and is corrected.
phraser.go also dropped a wrong "sub-1b, prompted not trained" size claim: the
target is trained end-to-end (RU CPT + joint persona/router SFT).
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01X5JApcrCRVGmqrxnhynSik
WriteFactReq gains an optional Subject field (empty = old behavior,
no CoreAPI signature change) and the IntentFact handler now passes the
fact's key as its resolution subject, so voice-tapped facts flow into
the Vikunja #279 enrichment queue automatically.
Also: deploy/mavend.json's phraser was pointed at a 4B model with
n_gpu_layers=99, which OOM'd under memory pressure and left a zombie
llama-server child. Swapped to the 2B Qwen model matching the intended
resident-model size, keeping GPU offload.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_018ghELqYhZNLub2TXGMazqA
facts gain a Subject/EntityID/ResolutionState triple and an async
enrichment worker that resolves free-text subjects to canonical Nexus
entity_ids, mirroring Praxis's enrichment-worker pattern. Ambiguous or
unreachable Nexus never guesses an entity_id — the fact stays pending
or terminal-ambiguous instead.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_018ghELqYhZNLub2TXGMazqA
Adds fakeecosystem_test.go: a shared fakeServer wrapping httptest.Server
with request capture, a runtime-toggleable fault (SetFault) that makes a
running fake Nexus/Praxis/Hexis fail closed like a real outage without
tearing the server down, protocol fixtures for each service's documented
response shapes, and a settable fakeClock for time-dependent assertions.
Uses it in ecosystem_harness_test.go to cover a gap the existing ad-hoc
per-test httptest servers didn't reach — handlePraxisAct had zero test
coverage — plus a fault-then-recovery test showing the same fake flapping
mid-session, the shape the earlier fail-closed fixes (#272/#273) need
regression coverage against.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_018ghELqYhZNLub2TXGMazqA
Complements Praxis's new entity_id filter on /tools/attention: lets
callers that already hold a resolved Nexus entity_id (e.g. after
resolveEntityReference) ask what needs attention for that entity
directly, instead of filtering the unscoped list client-side.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_018ghELqYhZNLub2TXGMazqA
mavend's hand-rolled Nexus and Praxis HTTP clients sent bare requests
with no version or correlation headers, unlike the Hexis client.
Added a shared context-based correlation ID mechanism and version
headers (X-Nexus-Version, X-Praxis-Version) across all Nexus/Praxis
call sites, and threaded the correlation ID already generated in
executeCapability through to the Nexus/Praxis calls in the same
request chain. Synced vendor/ copy of hexis/pkg/client after its
WithCorrelationID addition.
Part of Vikunja #273.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_018ghELqYhZNLub2TXGMazqA
Companion to the dispatcher-side outbox change: adds the
delivery_attempts table migration, Store.BeginDeliveryAttempt/
CompleteDeliveryAttempt/ReconcileStaleDeliveryAttempts, and wires
ReconcileStaleDeliveryAttempts + Config.Outbox into mavend startup
before the tick loop resumes.
Vikunja #270.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_018ghELqYhZNLub2TXGMazqA
Maven previously only called Praxis list_attention/list_changes and read
untyped maps. Adds a typed praxisItem struct plus GetItem/Search/Surface/
Acknowledge/Resolve/Ignore/Pin client methods, and routes new dialogue
verbs (RU + EN aliases) through handlePraxisAct to each.
Also fixes a lifecycle-invariant bug: reading attention items aloud now
calls Surface, not nothing — per ECOSYSTEM-SPEC.md §2.3 surfaced !=
acknowledged, and previously the digest path didn't record surfacing at
all, so 'Maven mentioned it' left no trace distinguishable from 'never
came up'.
Vikunja #271.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_018ghELqYhZNLub2TXGMazqA
Vikunja #268 (P0): handleHexisAct swallowed genuine Nexus resolve errors
and Hexis capability-discovery errors into "" or an empty capability list,
which fell through to the local system command executor — a dependency
outage silently looked identical to "not an ecosystem entity" or "no
capabilities registered", violating the spec's degrade-independently /
never-silent-all-clear invariant.
- resolveEntityReference's error is now distinguished from a legitimate
not_found: only the latter falls through.
- discoverCapabilities now returns (caps, err) instead of collapsing a
Hexis failure into an empty slice; a real error stops the action with
a degraded-mode spoken reply instead of reaching h.tools.Exec.
- nexusResolveResult gains a custom UnmarshalJSON to accept the flat
entity_id/entity_type/display_name shape from ECOSYSTEM-SPEC.md §1.5
(Nexus now emits both shapes; Maven now reads both).
- Added regression tests: flat-shape resolve, Nexus error fails closed,
Hexis error fails closed, not_found still falls through to local exec.
Bring the Nexus/Praxis/Hexis integration in line with
MAVEN_ECOSYSTEM_ARCHITECTURE.md:
- Praxis over HTTP: drop the in-process praxis.db open (praxisstore/
praxistools) and call praxisd's /api/v1/tools/* API via a new praxisClient.
Honors the "no component reads another's DB" invariant (AC#12).
PraxisConfig.DBPath -> URL.
- Hexis confirmation gate: mutating capabilities (ReadOnly=false) now park a
bound pendingHexis confirmation and require a spoken "да" before executing;
read-only run immediately (AC#7, no auto attention->action).
- Capability safety: >1 verb match is ambiguous -> ask instead of firing the
first; ambiguous Nexus resolution asks for clarification (AC#2).
- Correlation IDs on Hexis execute, recorded in the cross-service trace.
- Bug: importance arrives as JSON float64 over HTTP, not int.
- Tests: confirm-gate, decline, read-only, and ambiguity paths.
Build: vendor/ bakes in the hexis client (replace-directed at a sibling repo
outside the Docker context); Dockerfile builds from vendor and no longer
`go mod download`s the unreachable replace paths.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Daemon side of Decision B: parse {"response","mood"} across the 4 consumers
(replier, nudges, reminders, chat), fall back to legacy formats. Drop the
LLM router — the classifier handles routing; replier/phraser share one
llm.Client (timeout 20s->60s). llm.Client reads reasoning_content when
content is empty (thinking models).
Docs: TTS piper-student plan (OmniVoice teacher -> piper student, from
scratch, phoneme-first). CLAUDE.md training guide.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
- Add reactive_notes_test.go: tests for context-aware reactive nudge
generation using LLM phraser with dialogue history.
- Add docs/plans/2026-07-10-router-lfm-foundation.md: architecture research
on replacing classifier cascade with LFM-based router.
- Add llmphraser: LFM-based phraser implementing Phraser interface with
PhraseChat, PhraseNudge, PhraseReactive, and PhraseReminder methods.
- Add shared internal/llm/client: llama-server completion client used by
both the phraser (talking back) and router (routing), sharing one model.
- Add LLMReplier in mavend: replaces StubReplier for chat/nudge/reactive
replies, falls back to stub on model errors.
- Update Phraser interface: add PhraseChat method, update stub to match.
- Wire LLM phaser into mavend voice init, plumb LLM config from JSON.
Store layer: ListReminders returns the n most recent reminders
(newest first). IPC: new MethodListReminders wired through server,
client, and lockedAPI. Web: /reminders page with table of created
time, fire time, status badge, and payload text; empty state with
prompt to ask maven for a reminder. Sidebar entry under Automation.
PythonDateParser shells out to python3 with the dateparser library for
full natural-language date/time extraction. Two-step approach:
1. search_dates() finds the date substring in surrounding text
2. parse() re-parses the substring for correct time resolution
Russian time qualifiers (утра/вечера/дня/ночи) are pre-processed to
AM/PM before parsing — dateparser drops them during substring extraction.
Falls back to StubDateTimeParser when python3 or dateparser isn't
available (graceful degradation, no hard runtime dependency).
Dockerfile updated: python3 + dateparser==1.4.1 in runtime stage.
five fixes spotted during routing investigation:
- gitignore: replace blanket models/ ignore with per-dir exceptions
(/models/embedder/, /models/stt/, /models/tts/) so the seed text
files under models/seeds/ are tracked in version control
- query.txt: fix merged line — 'сколько стоит свет в этом месяце' and
'найди заметку про сервер' were fused with no separator
- reminder.txt: add 11 pure-verb reminder seeds without time expressions
to shift centroid toward the reminding intent rather than time-lexicon
- StubDateTimeParser: add Russian 'через <N> <unit>'/'через час'/'через
полчаса', 'сегодня'/'завтра'/'послезавтра' with optional clock, and
'в <clock>' scan. Add Russian word numbers (один-десять) and unit
inflections (час/часа/часов, минута/минуты/минут, день/дня/дней,
неделя/недели/недель). Also adds missing English day/week units.
- replySystem: guard time branch against duration queries ('сколько
времени прошло') reaching it via the classifier path after the
stage-0 grammar's build filter rejects them. Mirrors stage0.go
duration keywords.
three bugs causing time queries to land on reminder or fact intent:
- seed collision: query.txt and system.txt shared identical time/date
seeds (который час, сколько времени), making system intent
indistinguishable from query intent in centroid space
- threshold (0.35) too low for ONNX embedder — cosine similarities
cluster 0.5-0.7 for related intents, so Clarify never fired
- reminder centroid contaminated by time-lexicon (every seed has a time
expression), pulling any time-word utterance toward reminder intent
fixes:
- remove 3 duplicate time/date seeds from query.txt (keep in system.txt)
- DefaultRouterThreshold 0.35 -> 0.55
- stage-0 grammar for напомни/remind me -> IntentReminder, bypasses
classifier (fixes 'напомни через час' being misrouted to fact)
- stage-0 grammars for time/date system queries (сколько времени,
который час, какой сегодня день) -> IntentSystem, with Build filter
to exclude elapsed/duration queries (сколько времени прошло)
- time parser fallback in applyAction for stage-0 reminder matches
(extractor doesn't run on stage-0 decisions)
- session.go: add History []Turn + Turn type for multi-turn context
- slots.go: add AnaphoraResolver with Resolve() for RU pronoun detection
(это/он/она/оно/тот/мой and inflected forms)
- followup.go: extend followUpMerge with cross-intent inheritance:
Query/Fact/Reminder after a Fact with anaphora inherits the key.
Same-intent path unchanged. Anaphora detection from utterance.
- voice.go: add fact-by-key lookup path in applyAction for IntentQuery
when dialogue resolved an anaphoric reference (calls LatestFact,
formats with formatTime helper). History tracked in Session.History
capped at 4 most recent turns.
- followup_test.go: 7 new test cases: anaphora query-after-fact,
no-inheritance-without-anaphora, three-turn break, anaphora in
reminder, anaphora in fact, explicit key wins, time inheritance.
make test green (303+, -race, all 29 packages).
- VoiceConfig: add QueryMinScore (default 0.55) + Persona config fields
- voice.go: remove queryMinScore const, wire from cfg.Voice.QueryMinScore
as reactiveHandler field
- llmphraser.go: add Persona to Config, prepend to system prompts in
chat and query paths (systemPrompt/querySystemPrompt methods)
- main.go: pass personaFromCfg into both phraser config blocks
- Makefile: add download-embedder target (Xenova/paraphrase-multilingual-
MiniLM-L12-v2, ~90MB ONNX)
- AGENTS.md: document embedder model download + libonnxruntime setup
- server.go: fix pre-existing wg.Add vs wg.Wait data race using accept
mutex. make test green, zero races across all 29 packages.
Two additive proactive/recall features.
Routines (internal/routine): a third proactive class beside reminders
(user-stated) and care rules (world-state) — operator-declared clockwork.
config.routines[] (cron + literal RU body + severity) fire through the
normal dispatcher on schedule. Bodies are literal, not LLM-phrased (can't
hallucinate); rule name routine:<name> keeps them out of the care
autotuner; a cold-start guard seeds on first sight so a restart never
replays a missed schedule. Pure routine.Due + config validation, unit-
tested; the tick driver holds the last-fired map and calls fireRoutines.
Persistent memory (internal/store/memory.go): store.MemoryStore backs the
memory.Store interface with the SAME encrypted sqlite db — survives
restarts and recall text inherits at-rest encryption (no plaintext
sidecar). float32-blob vectors, brute-force cosine (ANN is a later swap
behind the interface), upsert-by-id. The daemon wires st.VectorMemory()
into wireVoice; the in-memory impl stays the test/no-store floor. Closes
the "in-memory only, lost on restart" gap (PROGRESS #8).
Gate green: gofmt/vet clean, -race across routine/config/store/mavend.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01U2PNdwDj2Gt8YW294J7oSc
kami