# Memory Continuity Scope ## One-line definition Memory continuity is a **structured working-state checkpoint** for recovering in-flight work after `/new`, reset, compaction, model fallback, gateway interruption, or subagent handoff. ## Core goal Preserve just enough short-term state that an agent can answer: - What are we trying to do? - What step were we on? - What was decided? - What should happen next? - What is blocked? - What result exists but has not yet been surfaced? This is a recovery layer for **active work**, not a general memory system. ## Source of truth The canonical working-state record is a Markdown checkpoint file: - `memory/CURRENT_STATE.md` in the current skill version Longer-term direction: - keep the checkpoint file as source of truth - add a runtime-delivered continuity snapshot derived from that file - keep the file readable/editable by humans and agents ## Responsibilities Memory continuity **is responsible for**: 1. Maintaining a compact, overwrite-oriented checkpoint for current work 2. Recovering in-flight work across session breaks 3. Preserving active task state through compaction and subagent handoff 4. Providing a deterministic place to look for next-step recovery 5. Surfacing unsent / unsurfaced results that would otherwise be lost 6. Giving agents a standard structure for short-term state updates ## Non-goals Memory continuity is **not responsible for**: 1. Long-term personal memory curation 2. Replacing `MEMORY.md` or daily notes 3. Replacing OpenClaw compaction summaries 4. Replacing OpenClaw `memoryFlush` 5. Acting as a project-management database 6. Acting as a full conversation transcript 7. Storing every detail of recent chat history 8. Guaranteeing perfect semantic recall of arbitrary facts from all prior turns ## Relationship to native OpenClaw systems ### Native OpenClaw handles - bootstrap/system prompt assembly - compaction lifecycle - memory flush before compaction - transcript persistence - tools, sessions, and runtime orchestration - context engine selection and plugin lifecycle ### Memory continuity adds - a **structured checkpoint** for working state - a predictable recovery format independent of transcript shape - explicit fields for `Objective`, `Current Step`, `Next Action`, `Blockers`, and `Unsurfaced Results` - stronger short-term recovery for in-flight work than generic compaction summaries alone ## Product forms ### 1. Skill version (current / fallback version) Purpose: - zero-dependency compatibility layer - human-readable protocol for agents - works today without plugin installation What it should do: - define update discipline - define recovery behavior - define template shape - define failure/uncertainty handling What it cannot guarantee: - recovery without agent cooperation - recovery without correct tool/config support - automatic runtime injection on every turn ### 2. ContextEngine plugin version (target architecture) Purpose: - runtime-backed continuity guarantees - reduced dependence on `read` - better compaction and subagent continuity What it should do: - inject a tiny continuity snapshot through `assemble` - checkpoint state before compaction - optionally maintain/update state after turns - support parent/child continuity hooks ## Design principles 1. **Files remain source of truth** 2. **Structured checkpoint beats free-form summary** 3. **Recovery state must stay short** 4. **Read access is an enhancement, not the only path** 5. **Continuity complements native OpenClaw memory; it does not replace it** 6. **Working-state recovery must prefer truth over confident guessing** 7. **User-visible recovery should prioritize current task state over generic greetings when continuity is clearly requested** ## Minimal recovery fields Any continuity implementation should preserve, at minimum: - Objective - Current Step - Key Decisions / Key Facts - Next Action - Blockers - Unsurfaced Results - Updated At / Freshness ## Success criteria A good continuity implementation should let an agent recover: - the current objective - the latest confirmed step - the next concrete action - the main blocker, if any - one or more unsurfaced results Even after: - `/new` - session reset - compaction - subagent handoff - gateway interruption ## Failure criteria The continuity layer is considered insufficient if, after a reset-like event, the agent: - forgets the active objective - loses a confirmed decision - cannot identify the next action - hides completed but unsurfaced results - hallucinates prior work instead of expressing uncertainty ## Current roadmap stance - **Short term:** strengthen the existing skill + file discipline version - **Medium term:** implement a ContextEngine plugin version aligned with OpenClaw’s official extension model - **Long term:** keep both forms - skill = fallback + behavior contract - plugin = runtime-backed reliability layer