Answers

Direct answers to the questions people ask about keeping AI coding agents from losing their place. Every page is a single question, answered plainly, with the numbers behind it.

• How do I stop Claude Code from losing context between sessions?Give the repo a memory on disk. Celeborn Code writes a small .context/ directory that reloads at session start, so Claude Code keeps its place across days.
• What is the best persistent memory for AI coding agents?A good agent memory is bounded on load, survives compaction, and lives in files. Celeborn Code gives any repo a tiered .context/ memory that does all three.
• How do I keep Claude Code's memory through auto-compaction?Auto-compaction erases the conversation, not disk. Celeborn Code snapshots state to files before compaction and reloads it after, so nothing is lost.
• Celeborn Code vs a plain CLAUDE.md file: what's the difference?CLAUDE.md loads entirely every session and grows unbounded. Celeborn Code loads a bounded Hot tier and reaches the rest on demand, so context stays light as memory grows.
• How do I coordinate multiple AI coding agents working in one repository?Give them a shared board and file-touch protocol. Celeborn Code's kanban lets multiple coding agents claim cards, see who's editing what, and avoid clobbering each other.