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EverOS/use-cases/openher/.env.example
Elliot Chen 518b8eca85 chore: initialize EverOS 1.0.0
md-first memory extraction framework for AI agents.

Markdown is the single source of truth; SQLite holds state and LanceDB
provides the rebuildable vector + BM25 + scalar index. The codebase follows
a single-direction DDD layering (entrypoints -> service -> memory -> infra,
with component / core / config cross-cutting) enforced by import-linter.

Engineering surface:
- Coding conventions in .claude/rules/ (path-scoped) and workflows in
  .claude/skills/ (/commit, /new-branch, /pr).
- GitHub Actions CI runs make lint + test + integration; pre-commit mirrors
  the gates locally (ruff, hygiene hooks, gitlint commit-msg).
- Commit messages follow Conventional Commits, enforced by gitlint.
- make lint also enforces datetime two-zone discipline and OpenAPI drift.
2026-06-06 07:33:17 +08:00

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# OpenHer × EverCore Use Case
# Copy this file to .env and fill in your values
# ─── LLM Provider (pick one) ───
DEFAULT_PROVIDER=gemini
DEFAULT_MODEL=gemini-3.1-flash-lite-preview
# Gemini
GEMINI_API_KEY=your_gemini_api_key_here
# Claude (alternative)
# ANTHROPIC_API_KEY=your_anthropic_api_key_here
# Qwen (alternative)
# DASHSCOPE_API_KEY=your_dashscope_api_key_here
# OpenAI (alternative)
# OPENAI_API_KEY=your_openai_api_key_here
# ─── EverCore Long-Term Memory ───
# Option A: EverCore Cloud
EVERMEMOS_BASE_URL=https://api.evermind.ai/v1
EVERMEMOS_API_KEY=your_evermemos_api_key_here
# Option B: Self-Hosted EverCore
# cd vendor/EverCore && docker compose up -d && uv run python src/run.py
# EVERMEMOS_BASE_URL=http://localhost:1995/api/v1