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# Unity auto-generated caches and outputs (never commit these)
examples/game-ai-demo/Library/
examples/game-ai-demo/Temp/
examples/game-ai-demo/Obj/
examples/game-ai-demo/Build/
examples/game-ai-demo/Builds/
examples/game-ai-demo/Logs/
examples/game-ai-demo/UserSettings/
examples/game-ai-demo/MemoryCaptures/
# Local Claude Code session state
.claude/
# OMC consolidation safety net (orphaned src/ tree, kept locally only)
src.deleted.bak/
# Rust build artifacts — should never be tracked
target/
**/*.rs.bak
**/*.rs.backup
**/*.rs.backup2
**/Cargo.lock.backup
**/Cargo.toml.backup
# Local-only scratch / test files
omnimcode-core/test_*.omc
omnimcode-core/qwen_omc_enhanced*.omc
examples/test_*.omc
examples/enemy_ai.omc
# But the canonical test runner is not scratch — keep it tracked.
!examples/test_runner.omc
# Tooling caches
omnimcode-ffi/.cargo/
# Large dataset files (download via examples/recommend/README.md)
examples/movielens_*.csv
examples/recommend/sample_10k.csv
examples/recommend/sample_100k.csv
# Gdextension built artifacts (rebuild from src/)
omnimcode-gdextension/bin/
# Local-only WIP examples (not ready for the public repo yet)
examples/agent-decision-evolution/
examples/game-ai-demo/Assets/Editor/OMNIcode/
# Python bytecode caches
**/__pycache__/
**/*.pyc
# Auto Claude data directory
.auto-claude/
# Auto Claude generated files
.auto-claude-security.json
.auto-claude-status
.claude_settings.json
.worktrees/
.security-key
logs/security/
# Model checkpoints / substrate indexes — regenerable trained weights, far over GitHub's
# 100MB file limit (e.g. omc_address_index.pt 1.8GB, omc_dual_index.pt 450MB; ~2.5GB total).
# The MATH lives in the source + the .md ledgers; share weights via git-lfs / release assets / HF.
*.pt
# Python virtualenvs
**/.venv/
**/venv/
# regenerable built-web caches (dictweb/mind)
experiments/transformerless_lm/.dictcache/
experiments/transformerless_lm/.mindcache/
experiments/transformerless_lm/library/
# Knowledge-web DATA + caches — regenerable and FAR over GitHub's 100MB limit. NEVER commit.
# knowledge.db (~5-9GB), derived.db, *.textbak / *.prefold_bak backups, WAL/SHM, embedding + fluency
# caches, run logs/ledgers. The CODE (*.py) that builds them IS tracked; the data is shared elsewhere.
experiments/transformerless_lm/*.db
experiments/transformerless_lm/*.db-wal
experiments/transformerless_lm/*.db-shm
experiments/transformerless_lm/*.db.textbak
experiments/transformerless_lm/*.prefold_bak
experiments/transformerless_lm/knowledge_compressed.db*
experiments/transformerless_lm/.kwebcache
experiments/transformerless_lm/.fluencycache_*
experiments/transformerless_lm/selfimprove_ledger.jsonl
experiments/transformerless_lm/*.log
# seed corpora (input data, downloadable/regenerable — e.g. dict_webster.txt is 27MB) + regenerable node lists
experiments/transformerless_lm/corpora/
experiments/transformerless_lm/nodes_new.json