Persistent project memory for AI coding agents (Claude Code, Codex, Cursor) with architecture briefs, ADRs, and DevLogs.
Give your AI coding agent a persistent memory across sessions.
中文文档 | Design Document | 设计文档
AI coding agents start every session as a blank slate. They forget prior architecture decisions, undocumented debugging discoveries, and cross-project workflow lessons.
That causes repeated mistakes, decision drift, and poor continuity across both coding and non-coding sessions.
nova gives Claude Code, Codex, and Cursor a layered memory system with both durable memory and snapshot memory:
| Layer | Memory Type | Purpose |
|---|---|---|
| Personal | user.md | Stable user identity and collaboration preferences |
| Personal | memory.md | Curated long-term context worth loading first when session memory is needed |
| Personal | notes/ | Cross-project durable insights, decisions, and references |
| Personal | snapshot/sessions/ | Historical session snapshots for opt-in episodic recall |
| Project | arch.md | Project architecture overview for memory-aware sessions |
| Project | ADR | Architecture decisions and their trade-offs |
| Project | DevLog | Non-obvious development discoveries |
Durable memories are loaded only when the task justifies them. Simple self-contained requests can skip session memory entirely. When the agent detects non-trivial, ambiguous, or history-sensitive work, it loads user.md, memory.md, and arch.md, then runs durable recall. Snapshot memories are synced out-of-band through ~/.nova/bin/nova-snapshot and can be auto-synced by an optional scheduler, but they are only searched when the user explicitly asks for historical conversations. Explicit "remember this" requests use a dedicated write path that recalls related memory before updating user.md, memory.md, or notes/.
Session Start Background / On Demand Code Commit
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