serversdown
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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>
Lyra
A persistent, autonomous AI assistant. From-scratch rewrite of an earlier attempt.
The design thinking that survives the rewrite lives in docs/ — start with docs/ARCH_v0-6-1.md. The previous implementation is preserved on the archive branch.
Status
Pre-MVP. Building toward the smallest useful version: chat with persistent memory across sessions.
Setup
uv sync
cp .env.example .env
# fill in ANTHROPIC_API_KEY and point LOCAL_BASE_URL at your Ollama
Architecture
The long-term target is the cognitive split in docs/ARCH_v0-6-1.md — Inner Self as the seat of consciousness, Executive for hard reasoning, Cortex Chat for drafting, Persona for voice. The MVP implements only the chat + memory baseline. Cognitive layers come back one at a time.