serversdown c7d2279f8d feat: auto-accumulating villain dossiers + player lookup (poker B)
Named players in recorded hands now auto-enrich a persistent dossier, and stats
emerge once the sample is big enough — laying groundwork for A.

- poker: player_observations table (per named player per hand: vpip/pfr/saw_flop/
  showed/cards/summary); record_hand auto-links named players via link_hand_players;
  player_profile(name) returns dossier + reads + shown hands, with inferred
  VPIP/PFR/WTSD gated behind MIN_STATS_SAMPLE (12) so thin samples don't lie;
  list_players()
- player_profile tool ("what do I know about X"); thin files return a blunt
  "don't generalize" directive
- persona: she MUST call player_profile before discussing an opponent and answer
  only from it — fixes observed confabulation (she invented a whole read from one
  hand / from memory). Verified: now reports only the real logged hand.
- tests: observation linking, profile, stat-emergence at sample threshold

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-18 04:33:16 +00:00

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.

S
Description
Beepo Boop this is a robot beep.
Readme 7.8 MiB
Languages
Python 60.4%
HTML 32.9%
CSS 6.7%