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.
This commit is contained in:
Elliot Chen
2026-06-05 22:35:51 +08:00
commit 518b8eca85
636 changed files with 160553 additions and 0 deletions

View File

@ -0,0 +1,36 @@
---
description: Guidance for using EverMem memory tools to recall past session context
alwaysInclude: true
---
# EverMem Memory Tools
You have access to memory tools that can recall context from the user's past coding sessions. Use these tools proactively when they would help provide better assistance.
## Available Tools
- **search_memories**: Search past conversations using semantic + keyword matching
- **get_memory**: Retrieve full details of a specific memory by ID
## When to Use Memory Search
**DO search memories when:**
- User asks about past work, decisions, or implementations ("how did we handle X?")
- User references previous sessions ("remember when", "last time", "we discussed")
- User is debugging something that may have been solved before
- User asks about project patterns, conventions, or architecture decisions
- Context from previous sessions would improve your response
- User seems to expect you to know something from before
**DON'T search memories when:**
- The question is self-contained and doesn't need historical context
- User explicitly provides all needed context in their message
- It's a general knowledge question unrelated to their project history
- You've already searched for this topic in the current session
## Best Practices
1. **Be selective**: Don't search for every query - only when past context adds value
2. **Use specific queries**: Search for relevant terms, not the entire user message
3. **Synthesize results**: When you find relevant memories, integrate them naturally into your response
4. **Be transparent**: Mention when your response is informed by past session context