ce65755d9ca8caed450848a0cd63a252cdde45dc
Her replies are full of **bold**, numbered lists and headings but rendered as raw monospace text, so the chat was a cluttered wall of literal markup. Add a small self-contained Markdown renderer (no deps): headings, ordered/unordered lists, bold/italic, inline + fenced code, links + autolinked URLs, with HTML escaping. Assistant messages now render to HTML; user/system stay literal text. Proportional font + spacing/list/code styling for assistant bubbles. (Renderer avoids literal backticks via String.fromCharCode(96) — a triple-tick regex literal had been corrupting the file with NUL bytes.) 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.
Description
Releases
1
Languages
Python
60.4%
HTML
32.9%
CSS
6.7%