Canon Keeper

Copilot memory persistence - teach Copilot to remember learnings across sessions.

Zero dependencies! Just an installer that sets up copilot-instructions.md.

Install

pip install canon-keeper

That's it! The installer runs automatically during setup and creates .github/copilot-instructions.md.

That's it! The installer creates .github/copilot-instructions.md with:

• Memory Persistence Protocol (@History directive)
• Best practices template
• Session Learnings Log table

In any Copilot chat, say:

In any Copilot chat, say:

@History save what we learned
save this
remember this
add to memory

Copilot will:

1. Extract learnings from the conversation
2. Check for duplicates in the Session Learnings Log
3. Append new learnings to copilot-instructions.md
4. Report what was saved/skipped

How It Works

No MCP server. No API keys. No runtime dependencies.

The installer just creates a copilot-instructions.md file with a directive that tells Copilot:

1. When you see @History, extract learnings from the conversation
2. Read the existing Session Learnings Log
3. Skip duplicates
4. Append new rows to the table

Copilot does all the work using its built-in capabilities.

Manual Setup

If you prefer not to use pip, just copy this to .github/copilot-instructions.md:

### Memory Persistence Protocol (@History) - CRITICAL
**Rule:** When the user includes `@History`, `save this`, `remember this`, or `add to memory`:

1. **Extract Learnings:**
   - Analyze the conversation for technical decisions, architectural choices, workarounds
   - Format each as: `| Date | Topic | Decision | Rationale |`

2. **Check for Duplicates:**
   - Read the current `copilot-instructions.md` file
   - Skip any learning semantically equivalent to an existing entry

3. **Append New Learnings:**
   - For each non-duplicate, append a row to the Session Learnings Log table
   - Use today's date (YYYY-MM-DD format)

4. **Report to User:**
   - "✅ Saved X new learning(s): [topics]"
   - "⏭️ Skipped Y duplicate(s): [topics]"

## Session Learnings Log
| Date | Topic | Decision | Rationale |
|------|-------|----------|----------|

Example Session Learnings Log

After a few sessions, your log might look like:

Options

python -m canon_keeper install --workspace /path/to/project  # Specify workspace
python -m canon_keeper install --force                       # Overwrite existing file

License

MIT