Her reflections/metacognition were capped rolling windows (6/5), so older
thoughts were lost for good. Now everything she produces is also appended to a
permanent, append-only journal; the capped lists stay as her working-memory
window for context.
- memory: journal table + add_journal_entry/list_journal
- reflect(): persists every committed reflection + critique to the journal, and
the examine step gains a "journal" field — a deliberate, first-person note she
writes for herself (her knowing journaling), tagged by source (dream/manual)
- web: /journal diary view (kind filters, grouped by day) + /journal/data;
linked from /self
- tests assert reflections + metacognition land in the journal
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Summaries displayed s.created_at (set to now() at summarize time), so every
imported gist read 2026-06-16. Derive the actual session date from the earliest
exchange timestamp (MIN(created_at) per session — the preserved original date,
same source the era rollups use) via a correlated subquery in the summary
readers. New Summary.session_started_at field; chat shows it (falling back to
created_at). No schema change / backfill needed — always correct from source.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
A pull-up-anytime view of Lyra's interiority, so her thoughts aren't buried in
a DB blob. Mobile-first, auto-refreshing every 12s (and on tab focus).
- GET /self serves the page; GET /self/state returns her self-state + the
timestamp it last changed
- shows: current mood + feeling meters (valence/energy/confidence/curiosity),
her drives as bars, her self-narrative, the relationship line, and the
reflections list (newest first), plus cycle/reflection counters and "last
cycle Xm ago"
- memory.self_state_updated_at(): when her mind last changed
- index.html: "🧠 Mind" button opens /self
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
She had no clock: current date/time and the gap since Brian last spoke were
invisible between turns, and reflection was timeless. Now:
- lyra/clock.py: wall-clock stamp + coarse human gaps ("3 days")
- chat: inject a 'now' note (date/time + gap since last turn) after her
self-state — when she is, before the world
- reflect(): feed current time + silence gap into reflection, neutrally —
prompt invites her to weigh elapsed time "to whatever degree it genuinely
affects you" (no prescribed feeling; whether silence means anything is left
to emerge)
- memory.last_exchange_at(): timestamp of the most recent exchange
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Lyra's inner loop for when no one's talking to her. Each pass senses her own
backlog/novelty, lets four drives build from real signals, and acts on those
past threshold:
- continuity -> summarize sessions with new turns
- coherence -> rebuild profile/eras/narrative (stale once new gists land)
- curiosity -> reflect() and evolve the self-state
- stability -> readout of how caught-up she ended up
Drives are rendered into chat context so she can feel them. Causal chain:
consolidation creates gists -> coherence rises -> integration fires next.
- lyra/dream.py: dream_cycle() + lyra-dream CLI (--force, --loop SECONDS)
- memory: backlog_stats(), profile_sessions_covered(), WAL + busy_timeout
so a separate dream process coexists with the web server
- self_state: DEFAULT_DRIVES baseline + drives in render_for_context
- tests/test_dream.py: backlog sensing + a full forced pass (LLM stubbed)
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Give Lyra a model of *herself* (vs the profile/narrative which model Brian):
- persona: a real origin/identity — she's an AI and knows it (Bender/C-3PO
style), with the Cortex/NeoMem lineage as her actual past, so "how were you
made" stops falling through to generic-assistant deflection.
- memory: self_state table (JSON blob) + get/set_self_state.
- lyra/self_state.py: evolving first-person inner state (mood, valence, energy,
confidence, curiosity, self_narrative, relationship, reflections). render_for_
context injects it; reflect() updates it from recent activity. `lyra-reflect`.
- chat.build_messages injects her interiority right after the persona — she
speaks from a continuous self, not a reset.
The state -> behavior -> reflection -> updated state loop is the substrate for
the emergence experiment. Verified: reflection shifted mood curious->reflective
and produced genuine first-person self-observations.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Complete the consolidation pipeline: summaries -> profile + eras -> narrative.
- memory: eras table (per-month digests) + Era, summaries_by_month, store_era,
list_eras, recall_eras; narrative table + set/get_narrative
- lyra/era.py (lyra-era): groups session gists by the month the session occurred
(real timestamps) and map-reduces each month into a "what was happening" digest
- lyra/narrative.py (lyra-narrative): distills profile + recent eras into the
current arc/trends/callbacks ("remember when…", "you're trending toward…")
- chat.build_messages injects the narrative alongside the profile
Verified on the real corpus: 17 monthly eras (Dec 2024-Jun 2026) + a narrative
that surfaces specific callbacks (the $573 Hollywood session, 4 years sober).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Derive a standing profile of the user from session gists and inject it into
every prompt, so identity/abstract questions ("what kind of player am I",
"what are my leaks") are answered from distilled knowledge instead of noisy
single-vector recall (which finds passages, not patterns).
- memory: profile table + get/set_profile, list_summaries
- lyra/profile.py: rebuild_profile map-reduces all gists (batch -> extract
durable facts -> fold-merge) into one profile doc; `lyra-profile` CLI
- chat.build_messages injects "What you know about Brian" after the persona
Run after lyra-summarize (needs gists). Verified (stubbed): map-reduce, storage,
and prompt injection.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Import the parser's {title, messages} JSON into Lyra's memory so past
conversations seed recall (and, later, the era-rollup tier).
- lyra/ingest.py: one conversation -> one session, text messages -> exchanges;
skips non-text (image asset) messages and non user/assistant roles; embeddings
batched; idempotent by filename-derived session id; `lyra-import <dir>` CLI
- memory.add_exchanges_bulk: batched insert of pre-embedded rows
Format has no timestamps yet, so imports are stamped at import time; a future
dated export will let era memory group by real calendar time.
Verified on the 68-file lyra dev set: 7519 exchanges, idempotent re-run, recall
returns relevant history.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Older sessions fade to a general idea; details stay retrievable.
- memory: summaries table (one compacted gist per session, embedded), plus
store_summary/get_summary/recall_summaries and unsummarized_count (tracks
exchanges newer than the current summary)
- lyra/summary.py: summarize_session compacts a session's raw turns into a
third-person gist (default SUMMARY_BACKEND=local, so compaction is free);
maybe_summarize re-summarizes once SUMMARIZE_AFTER new turns accumulate
- chat.build_messages now layers context in tiers: persona -> gists of other
sessions -> a few sharp raw cross-session details -> current session raw
turns -> new message; respond() compacts the session after each turn
- web: POST /sessions/{id}/summarize to compact on demand
- summarization activity surfaces in the live log
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Phase 1 — persona + persistent memory chat loop:
- lyra/persona.py + personas/lyra.md: editable identity/voice (friend-first,
honest, never invents poker math)
- lyra/chat.py: turn loop assembling persona + cross-session recall + recent
context, persisting both sides to SQLite
- lyra/session.py, lyra/__main__.py: session lifecycle + `lyra` REPL
Phase 1.25 — reuse the old web UI:
- vendored the prior single-page UI into lyra/web/static, repointed to
same-origin
- lyra/web/server.py (FastAPI): serves the UI and backs its endpoint contract
(/v1/chat/completions, session CRUD, health, inert thinking-stream) with the
new chat loop + memory; SQLite stays the single source of truth
- `lyra-web` console script
Local backends — test for free, no OpenAI key:
- llm.embed routes via EMBED_BACKEND (cloud=OpenAI, local=Ollama /api/embed)
- simplified UI backend selector to Local (Ollama) / Cloud (OpenAI), default local
- memory connection opened check_same_thread=False for the threaded server
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- lyra.memory.remember(session_id, role, content) embeds and stores
- lyra.memory.recent(session_id, n) returns the last N from a session
- lyra.memory.recall(query, k, session_id=None) returns top-k by cosine
similarity across the chosen scope (all sessions by default)
- Embeddings live in the exchanges.embedding BLOB column as float32 bytes
- Connection reopens automatically if LYRA_DB_PATH changes (test-friendly)
serversdown
Claude