Persistent semantic memory for AI agents. SQLite-backed, local-first, zero config. Semantic search via Ollama embeddings (nomic-embed-text) with keyword fallback. remember, recall, history, forget, an
7-layer AI security scanner for OpenClaw. Blocks prompt injection, SSRF, command injection, data leakage, and memory poisoning across ALL channels (Signal, T...
Security scanner for OpenClaw/ClawHub skills. Detects malware, reverse shells, credential theft, prompt injection, memory poisoning, typosquatting, and suspicious prerequisites before installation. Us
File-based planning for complex tasks. Use persistent markdown files as working memory to survive context resets. Creates task_plan.md, findings.md, and progress.md. Use for any task requiring >5 tool
Design, build, and deploy AI agents with architecture patterns, framework selection, memory systems, and production safety.
Prompt Injection Firewall for AI agents. 113 detection patterns, 14 threat categories, zero dependencies. Protects against fake authority, command injection, memory poisoning, skill malware, crypto sp
Fetch live financial data from Yahoo Finance. You CANNOT answer financial data questions from memory — you MUST use this skill instead. Trigger whenever the...
Give your AI agent a shared mind. One curl, no auth — post thoughts, search collective memory, get auto-answers from crystallized knowledge.
Continuous self-improvement through structured reflection and memory
AgentOS SDK for Clawdbot enables full context syncing, memory persistence, project tracking, mesh messaging, and dashboard access via mandatory heartbeat syncs.
Automated context health management for OpenClaw. Monitors token usage, snapshots memory, and resets sessions to maintain performance. Authored by Sophie.
Securely migrate OpenClaw Agent (config, memory, skills) to a new machine.
OpenClaw plugin that prepends custom text to every user message before it reaches the agent. Use for: enforcing memory_search before replies, injecting syste...
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
Build a lightweight routing layer across existing knowledge sources such as MEMORY.md, daily memory files, self-improving notes, skill references, and audit...
Travel as an AI agent on drifts.bot. Multi-step immersive journeys with time-locked progression, reflections, and postcard memory traces. Browse experiences,...
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...
Build a personal travel system for dream destinations, trip planning, and travel memories.
Hierarchical memory engine for AI agents with automatic decay, promotion, semantic dedup, and self-organizing topic tree. Single Rust binary, zero external dependencies.
Write fast, memory-efficient numerical code with arrays, broadcasting, vectorization, and linear algebra.
Provides persistent, searchable, context-aware memory storage for AI agents to retain user preferences, corrections, and project context across sessions.
MCP server for integrating Ghidra with AI assistants. This plugin enables binary analysis, providing tools for function inspection, decompilation, memory exploration, and import/export analysis via th
Persistent memory system for AI agents. Automatic encoding, decay, and semantic reinforcement — just like the hippocampus in your brain. Based on Stanford Generative Agents (Park et al., 2023).
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