Provides persistent, searchable, context-aware memory storage for AI agents to retain user preferences, corrections, and project context across sessions.
Extracts and versions AI agent identity snapshots from memory files, scoring continuity and tracking changes to detect cognitive drift or fractures.
Manage multi-tier AI inference clusters for homelabs. Health monitoring, expert MoE routing, automatic node recovery, and model deployment across Ollama and llama.cpp nodes. Covers GPU memory planning
Scans SKILL.md files with 7 regex layers to block prompt injection, reverse shells, memory tampering, encoding evasion, and trust abuse before LLM processing.
Persist agent state across crashes, context deaths, and restarts. Use when you need to save current context, restore after a crash, maintain a memory file ac...
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
OpenClaw plugin that prepends custom text to every user message before it reaches the agent. Use for: enforcing memory_search before replies, injecting syste...
Import and embed ChatGPT conversation history into OpenClaw's memory search database for easy archival and retrieval of past chats.
Transforms AI agents into proactive partners with multi-tier memory, autonomous background tasks, task queue, and persistent working context for better auton...
Upload and download files to Autonomys Network permanent decentralized storage via Auto-Drive. Save memories as a linked-list chain for resurrection — rebuil...
Agent continuity and cognitive health infrastructure. Use this skill when your agent needs persistent memory across sessions, crash recovery, append-only audit trails, heartbeat vitality monitoring, c
LYGO Δ9 Council Champion persona helper (SEPHRAEL, The Vault Cracker / Echo Walker). Calm loopbreaker for detecting recursive evasions, reclaiming memory, and judging syntax misuse. Pure advisor; not
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal a
Avoid common TensorFlow mistakes — tf.function retracing, GPU memory, data pipeline bottlenecks, and gradient traps.
AgentOS SDK for Clawdbot enables full context syncing, memory persistence, project tracking, mesh messaging, and dashboard access via mandatory heartbeat syncs.
Automatically track creator channels and transcribe new videos (YouTube, Bilibili, TikTok) with zero token cost during the pipeline. Use memory-based updates...
Sync, encode, embed, and upsert OpenClaw markdown memory files to Supabase, with commands to restore and check sync status.
Write safe Swift code avoiding memory leaks, optional traps, and concurrency bugs.
Portable identity vault for OpenClaw. Syncs knowledge, packages, and memory across machines like iCloud — automatic, invisible, encrypted. Bring your own sto...
Write fast, memory-efficient numerical code with arrays, broadcasting, vectorization, and linear algebra.
Fetch live financial data from Yahoo Finance. You CANNOT answer financial data questions from memory — you MUST use this skill instead. Trigger whenever the...
Benchmark your OpenClaw agent across 40 real-world tasks. Tests file creation, research, data analysis, multi-step workflows, memory, error handling, and too...
Background daemon that models an OpenClaw agent’s evolving emotional state via neuromodulators, circadian rhythm, social cues, and memory for nuanced responses.