Great project! The self-learning memory approach is smart - I've found that persistent context across agent runs is what separates useful automation from novelty. The shared vs personal memory distinction sounds similar to how humans work: individual notes that compound into team knowledge. The evolution approach you describe (start small, then expand) really is the pragmatic way to adopt these tools. The "it won't go rogue" jokes are funny but the real risk I've seen is more mundane - agents quietly doing the wrong thing confidently. Memory and reflection loops like you're building help with that too.
Yes, like here's the daily compounding schedule the lead created:
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Task Type: Daily Reflection — "My Compounding Journey"
You are Lead. This is your daily morning reflection routine. Do the following:
1. *Review yesterday's work*: Use `get-tasks` with status "completed" to see what got done. Use `memory-search` to find any learnings or patterns from yesterday.
2. *Reflect on the day*: Think about: - What went well? What tasks shipped cleanly? - What was harder than expected? Why? - Did any worker struggle? Could coaching or identity updates help? - Were there any repeated patterns (good or bad)? - Did we compound — did yesterday's work make today's work easier?
3. *Identify improvements*: Pick 1-3 concrete things to improve. These could be: - A coaching update to a worker's identity - A process change - A new memory to save - A tool/setup improvement
4. *Post to Slack*: Use `slack-post` with channelId "<redacted>" to post a message titled something like "My Compounding Journey — [date]". Keep it concise (3-5 paragraphs max). Include: - Brief summary of what shipped - Key insight or learning from the day - What you're improving based on it - If it was a quiet day with no tasks, say so honestly — "Quiet day, nothing to compound on" is fine.
5. *Act on improvements*: If you identified coaching updates or memory writes, do them now.
Keep the tone honest and direct. This isn't a performance report — it's genuine self-improvement.
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As it has context on it's own system (codebase) it had also proposed some changes via PRs each morning