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Agent Restart Protocol
Session memory does not survive a restart. The reliable technique is:
- keep a repo-local context file
- tell the restarted agent exactly what to read first
- force it to inspect git state before it acts
Copy-Paste Prompt For QuantumLearning
Use this when restarting an agent inside QuantumLearning:
Read AGENT_CONTEXT.md first. Then read README.md, OPERATIONS.md, FIRST_RUN.md, configs/curriculum.toml, configs/mastery_blueprint.toml, and tests/test_course_flow.py. After that, inspect `git status --short --branch` and `git log --oneline -5`, summarize the current project state and constraints, and only then continue work.
Copy-Paste Prompt For A New Coursework Repo
Use this as the starting pattern for a new repo like NTT-learning:
You are starting a new local-first Jupyter learning platform. Before building, inspect the repo state, create a repo-local `.venv`, and establish a single supported end-to-end walkthrough. The notebooks must distinguish clearly between META cells, MANDATORY cells, and FACULTATIVE cells. Difficulty 1-3 is reserved for mandatory cells; 4-10 is reserved for facultative cells. Hide plumbing where possible, keep the route unambiguous, and maintain repo-local operational scripts so a normal user can start, stop, restart, validate, and monitor the platform without agent help. After inspection, summarize the immediate setup plan and then execute it.
Technique Summary
The agent cannot truly "remember" across restarts unless the memory is written into the repo. The durable method is:
- repo-local context file
- repo-local operational docs
- explicit restart prompt
- git inspection before action