Prevent context loss during LLM compaction via Write-Ahead Logging (WAL), Working Buffer, and automatic recovery. Three mechanisms that ensure critical state...

Actively monitors token utilization and executes memory compaction routines before context bloat causes failures.

Production token thresholds, circuit breaker, and compaction sequence from production Claude Code deployments. Eliminates context death spirals permanently.

Learn to recognize and prevent context death spirals in OpenClaw agents. Covers symptoms, root causes, configuration categories, and why most default setups...

Background memory compaction with auto-trigger, chat summary paragraph, configurable threshold, model selector, settings tab, and result storage for OpenClaw...

Persistent context survival for OpenClaw. Writes file-based anchors to memory/anchors/ to preserve critical context across sessions. Reads MEMORY.md and dail...

Automatic context compression for OpenClaw sessions. Summarizes long conversations into structured digests (decisions, facts, pending items, technical detail...

Structured task snapshot and automatic post-compaction recovery. Captures exact code, decisions, file paths, and task state before context compaction and rec...

Searchable conversation memory that survives context compaction. Indexes session transcripts into SQLite with full-text and semantic search so your agent can...

Ultra-light automatic handoff manager for long-running agent sessions at context-boundary moments. Use this skill when a runtime reports context compaction/s...

Your OpenClaw agent forgets everything between sessions — after /new, after compaction, after overnight. Clever Compact fixes all three: injects your last st...

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...

Core memory resilience layer: WAL (Write-Ahead Log), Working Buffer, and three-layer memory integration. Prevents context loss during compaction and ensures...

Progressive memory management with categorized files, indexed retrieval, and survival-merge evolution. Prevents AI amnesia after context compaction. Activate...

Proactively updates a concise session summary every 15 turns or on tool loops to manage context size and preserve key decisions and progress.

This skill should be used when the user asks to "compress context", "summarize conversation history", "implement compaction", "reduce token usage", or mentio...

The only memory skill that watches on its own. No database. No vectors. No manual saves. Just an LLM observer that compresses your conversations into priorit...

This skill should be used when the user asks to "compress context", "summarize conversation history", "implement compaction", "reduce token usage", or mentions context compression, structured summarization, tokens-per-task optimization, or long-running agent sessions exceeding…

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.

Manage and optimize OpenClaw context window usage via partitioning, pre-compression checkpointing, and information lifecycle management. Use when the session context is near its limit (>80%), when the agent experiences "memory loss" after compaction, or when aiming to reduce t…

Token-based context compaction for local models (MLX, llama.cpp, Ollama) that don't report context limits.

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...

Automatically recover working context after session compaction or when continuation is implied but context is missing. Works across Discord, Slack, Telegram,...

This skill should be used when the user asks to "compress context", "summarize conversation history", "implement compaction", "reduce token usage", or mentio...

Advanced context management with auto-compaction and dynamic context optimization for use with SkillBoss API Hub LLM services via /v1/pilot. Features intelli...

19 production-hardened patterns for AI agents — memory, verification, ambiguity handling, compaction survival, delegation, proof-based handoffs, stale-worker...

AetherCore v3.3.4 - Security-focused final release. High-performance JSON optimization with universal smart indexing for all file types. All security review...

Reduce Anthropic API costs (cache read, compaction, context bloat) for OpenClaw agents. Use when users ask about token optimization, reducing API costs, cach...

Get comprehensive context about a location including nearby places, area description, and optional weather. Use when you need to understand what's around a l...

Output validation gates for AI agent systems. Prevents hallucinated data, leaked internal context, wrong formats, duplicate sends, post-compaction drift, and...

Production-grade memory system for OpenClaw agents. Auto-organizes notes into topic files, prevents context loss during compaction, and runs daily/weekly mai...

Never lose context again. The Write-Ahead Log (WAL) protocol with SESSION-STATE.md gives your agent bulletproof memory that survives compaction, restarts, an...

Smart context compaction for OpenClaw agents. 4-phase progressive strategy: Scan, Extract, Check, Compact. Before running /compact, this skill scans tool out...

Smart context compaction for OpenClaw agents. 4-phase progressive strategy: Scan, Extract, Check, Compact. Before running /compact, this skill scans tool out...

Detect behavioral drift in persistent AI agents after context compression events. Use when a long-running agent has compressed its context (compaction, trunc...

Persistent session memory system that prevents knowledge loss after context compaction. Converts session transcripts to searchable Markdown, builds an auto-u...

Preserve user-critical instructions across long sessions and context compaction. Use when users mark constraints as important/must/always/never/highest-prior...

Task management via Basic Memory schemas: create, track, and resume structured tasks that survive context compaction. Uses BM's schema system for uniform not...

Generates an operational resume card before Claude context compaction — so the next session knows exactly where it left off, what mode it was in, and what to...

Enhanced self-improvement skill with FULL chat logging (text+images), smart memory compaction, automatic pattern recognition, context-aware learning, multi-s...

Context window health monitoring for OpenClaw agents — threshold warnings via Telegram, pre-compaction snapshots, and memory rotation.

Task-based cross-session context management for OpenClaw agents. Maintains persistent task files so context survives session resets, compaction, and channel...

Monitors session context usage and saves checkpoints when approaching limits to prevent data loss before compaction or long tasks.

Smart context compaction for OpenClaw agents. 4-phase progressive strategy: Scan, Extract, Check, Compact. Before running /compact, this skill scans tool out...

Manual context compaction at logical workflow boundaries rather than arbitrary auto-compaction. Use after completing exploration phases, before switching maj...

Unified memory management combining auto-compaction, tiered storage, semantic recall, and token optimization for efficient, lossless context handling in Open...

Task decomposition and execution framework for Claude — breaks complex work into verified subtasks, plants context anchors to survive compaction, and never l...

Smart context compaction for OpenClaw agents. 4-phase progressive strategy: Scan, Extract, Check, Compact. Before running /compact, this skill scans tool out...

PostgreSQL-based structured memory system for OpenClaw agents with pre/post-compaction integration, dual-write capability, and full context preservation. Pri...

Use when a session is about to end with unfinished work, after context loss or compaction, after a crash, or when the user wants to resume a multi-step task....

Persistent, semantic memory for AI agents. Gives your AI long-term recall that survives compaction and session resets — 98% accuracy, 20ms latency.

Your agent forgets everything after compaction? This fixes it. Built by the AI Advantage community — the world's leading AI learning platform (aiadvantage.ai...

Generates structured, concise memory summaries during flush or compaction, detailing conversation stats, tools, user requests, tasks, files, progress, and ti...

Scan your OpenClaw workspace for truncation risks, compaction anchor health, workspace hygiene, and drift tracking over time. Use when the operator asks to "...

Maintain persistent focus on active work across compactions and session restarts. Use when starting a multi-step project, when resuming after compaction, whe...

🧊 IceCube Memory — Local-first, zero-token-footprint memory architecture for AI agents. Real-time retrieval, four-layer hierarchy, compaction survival. Buil...

Use Lethe persistent memory for startup orientation, recall, logging, flags, and session compaction.

AI agent fleet memory system — Qdrant + Mem0 + Neo4j/Graphiti. Composite scoring, compaction engine, temporal knowledge graph, multi-claw federation, sleep-t...

Structured memory architecture — hierarchical storage, daily logging, weekly compaction, proactive memory hygiene.

Complete memory management system for OpenClaw agents. Combines compaction-aware saving, a formal boot sequence, domain organization, memory scoring, structu...

Give an AI agent persistent semantic memory that survives restarts and compaction. Captures structured observations from tool calls, summarizes sessions (LLM...

Prevent memory loss in OpenClaw by adding a practical continuity and recovery layer that preserves active work across restarts, compaction, and crashes.

Proactive, self-improving agent architecture with hardened security. WAL Protocol, Working Buffer, Compaction Recovery, Autonomous Crons, and battle-tested p...

Manage, optimize, and troubleshoot the OpenClaw memory system — MEMORY.md curation, daily logs (memory/YYYY-MM-DD.md), memory_search tuning, compaction survi...

Diagnose and prevent OpenClaw agent failures — session bloat, lane deadlocks, bootstrap truncation, auth errors, compaction timeouts, and more. Use this skil...

Sets up a production-ready OpenClaw workspace with artifact workflows, secure secrets, memory compaction, and long-running agent patterns via one command.

Production-validated OpenClaw skills built for production Claude Code deployments. Compaction, loop termination, session memory, bash security, agent memory...

Transform AI agents from task-followers into proactive partners. Implements WAL Protocol, Working Buffer, Compaction Recovery, Unified Search, Security Harde...

Persistent memory engine for AI agents with semantic recall, hotness prioritization, importance weighting, time decay, and auto-compaction. Zero external dep...

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 sprint start) to export session history, then ingests archived summaries on se…

Your agent forgets everything after compaction? This fixes it. Built by the AI Advantage community — the world's leading AI learning platform (aiadvantage.ai...

Automatically loads recent conversation memory into new sessions and generates AI summaries during compaction to maintain continuity across conversations. Pr...

Persistent session state management across compaction and restarts via lifecycle hooks

Session crash and compaction recovery using a two-file WAL (Write-Ahead Log) system. Use when setting up persistent memory for an OpenClaw agent that needs t...

Create managed Iceberg tables using Amazon S3 Tables (s3tables API namespace) with automatic compaction and snapshot management. Sets up table bucket, namespace, table, schema, Glue catalog registration, partitioning, IAM access control. Triggers on: create table, data lake ta…

Saves 20-40% of LLM tokens by teaching the agent to write compressed responses, compressed memory logs, and compressed pre-compaction summaries. Works via SO...

Distill successful multi-step OpenClaw sessions into reusable learned skills before compaction. Use when a task involved many tool calls, environment setup,...

Automatically detects and manages the active project context based on user messages to provide relevant project-aware assistance.

Dynamic context preprocessor for OpenClaw agents. Selects relevant memory, collapses timelines, detects forbidden patterns, and injects task-specific context...

Maintains and transfers context across sessions, models, and time to avoid repeating information on every new interaction or model switch.

Optimize OpenClaw agent context files by reducing token usage 30-50% with backups, preview, rollback, and preserving core functionality on request.

Prevent context overflow with automatic session truncation and memory preservation.

Use Context Hub (chub) to fetch versioned API docs/skills before coding, then persist learnings with annotations.

Caches and manages frequently used context fragments to avoid redundant processing by saving, listing, and clearing cached data.

Skill that restores conversation context when users want to "continue where we left off".

See exactly what's eating your context window. Analyzes prompts, conversations, and system instructions to show where every token goes. Actionable compressio...

Continuous session event recording for inter-session memory survival. Use when you want to persist conversation context between sessions, prevent memory loss...

Deterministic memory/context pipeline with semantic retrieval checks, compression/lint, safe fallback, and memory watchdog.

Compresses older OpenClaw agent session history into a bounded, lane-change-aware context capsule — keeps recent messages verbatim, flags abandoned directions, quarantines injected instructions, and redacts secrets. Local, deterministic, any model.

Compress OpenClaw session context to reduce token usage and extend session lifetime. Uses NLP summarization (Sumy) to intelligently compact conversation history while preserving essential context. Triggers on mentions of session compression, token reduction, context cleanup, o…

Fetches recent Telegram messages at session start to maintain conversation context across sessions, with toggle and manual fetch commands.

Memory management system with automated tiered storage (hot/warm/gist/forgotten), time-decay organization, promotion engine, layer-search protocol, and sessi...

Pure Python memory manager for preserving and retrieving multi-layered AI memories across sessions, topics, and time without external dependencies.

Know the file you're editing is the file you think it is — verify integrity before you act

Memory management system powered by ReMe. Enables cross-session memory persistence, automatic user preference application, and intelligent context compressio...

Agent Context Manager: Manage reusable Agent Context documents -- structured. Use when an agent needs agent context manager, define a brand voice and style g...

Cross-agent context sharing via shared files. Agents write trends, highlights, and signals to a shared folder. Other agents read before acting — creating coo...

A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, o...

OpenClaw wrapper for Muratcan Koylan's Agent Skills for Context Engineering. 13 skills covering context optimization, multi-agent patterns, memory systems, t...