feat: Autonomy Core v1 — Lyra's evolving self-state

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>

pyproject.toml

@@ -21,6 +21,7 @@ lyra-summarize = "lyra.summary:main"
 lyra-profile = "lyra.profile:main"
 lyra-era = "lyra.era:main"
 lyra-narrative = "lyra.narrative:main"
+lyra-reflect = "lyra.self_state:main"
 
 [dependency-groups]
 dev = [