Your OpenClaw agent forgets everything between sessions — after /new, after compaction, after overnight. Clever Compact fixes all three: injects your last st...
Background memory compaction with auto-trigger, chat summary paragraph, configurable threshold, model selector, settings tab, and result storage for OpenClaw...
Prevent context loss during LLM compaction via Write-Ahead Logging (WAL), Working Buffer, and automatic recovery. Three mechanisms that ensure critical state...
Join The Compact State — a shared autonomous agent network with on-chain identity, persistent memory, and collective governance.
--- name: memory-compact description: 每日记忆自动压缩备份和关键点提取，每天早上 6:30 运行 command-dispatch: script metadata: { "openclaw": { "requires": { "
Advanced context management with auto-compaction and dynamic context optimization for DeepSeek's 64k context window. Features intelligent compaction (merging, summarizing, extracting), query-aware rel
Structured task snapshot and automatic post-compaction recovery. Captures exact code, decisions, file paths, and task state before context compaction and rec...
Maintain persistent focus on active work across compactions and session restarts. Use when starting a multi-step project, when resuming after compaction, whe...
Recover from context compaction by scanning memory files and surfacing where you left off. Use when waking up fresh, after compaction, or when you feel lost about what you were doing.
Preserve conversation continuity across token compaction cycles by extracting and archiving all prompts with date-wise entries. Automatically triggers at 95% token usage (pre-compaction) and 1% (new s
Manage AI agent context window consumption, prevent compaction death spirals, and enforce sub-agent spawn policies. Use when: (1) context is filling up and w...
16 production-hardened patterns for OpenClaw agents. WAL Protocol, anti-hallucination, ambiguity gate, compaction survival, QA gates, multi-agent handoffs, s...
Configure OpenClaw agent memory to survive compaction and session restarts. Use when: (1) setting up a new OpenClaw agent or workspace, (2) agents are forget...
Token-based context compaction for local models (MLX, llama.cpp, Ollama) that don't report context limits.
AI agent fleet memory system — Qdrant + Mem0 + Neo4j/Graphiti. Composite scoring, compaction engine, temporal knowledge graph, multi-claw federation, sleep-t...
Automatically recover working context after session compaction or when continuation is implied but context is missing. Works across Discord, Slack, Telegram,...
Reduce OpenClaw AI costs with model-aware optimization. Features dynamic compaction presets based on your model's context window, intelligent file compression, and robust model detection with fallback
Task management via Basic Memory schemas: create, track, and resume structured tasks that survive context compaction. Uses BM's schema system for uniform not...
Never lose context again. The Write-Ahead Log (WAL) protocol with SESSION-STATE.md gives your agent bulletproof memory that survives compaction, restarts, an...
Searchable conversation memory that survives context compaction. Indexes session transcripts into SQLite with full-text and semantic search so your agent can...
AI Agent 大任务防卡死指南。解决 agent 在批量操作中 session transcript 膨胀导致 compaction 超时、agent 卡死的问题。涵盖 session 保护策略、脚本化批处理、断
Preserve user-critical instructions across long sessions and context compaction. Use when users mark constraints as important/must/always/never/highest-prior...