memory AI Agent Skills
Browse 29 skills related to memory
railway-metrics
Query resource usage metrics for Railway services. Use when user asks about resource usage, CPU, memory, network, disk, or service performance like "how much memory is my service using" or "is my service slow".
crewai-multi-agent
Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows requiring sequential/hierarchical execution. Built without LangChain dependencies for lean, fast execution.
chromadb-memory
Long-term memory via ChromaDB with local Ollama embeddings. Auto-recall injects relevant context every turn. No cloud APIs required — fully self-hosted.
konteks
Connect your OpenClaw agent to your Konteks account (konteks.app) for persistent memory, task management, and context sharing. Use when you need to store agent memories, create or read tasks/notes, check projects and folders, read daily plans, or sync context between conversations. Requires a Konteks API key from konteks.app/dashboard/settings.
memory-leak-detector
Detect memory leaks in desktop applications through heap analysis and object tracking
electron-memory-profiler
Profile Electron app memory usage, detect leaks, analyze renderer process memory, and optimize memory consumption
shodh-memory
Persistent memory system for AI agents. Use this skill to remember context across conversations, recall relevant information, and build long-term knowledge. Activate when you need to store decisions, learnings, errors, or context that should persist beyond the current session.
remember
Stores decisions and patterns in knowledge graph. Use when saving patterns, remembering outcomes, or recording decisions.
memory-fabric
Knowledge graph memory orchestration - entity extraction, query parsing, deduplication, and cross-reference boosting. Use when designing memory orchestration.
memory
Read-side memory operations: search, recall, load, sync, history, visualize. Use when searching past decisions, loading session context, or viewing the knowledge graph.
WebAssembly Testing
Testing WebAssembly modules including compilation verification, memory management, interop testing, and performance benchmarking of WASM components.
LibFuzzer Coverage-Guided Fuzzing
Coverage-guided fuzz testing using libFuzzer for C/C++ applications to find memory corruption, buffer overflows, and crash-inducing inputs.
Memory Profiling & Leak Detection
Systematic memory profiling and leak detection in applications using heap snapshots, allocation tracking, and garbage collection analysis.
atris
Atris workflow enforcement for repos using atris/ (MAP, TODO, journal, features, plan-do-review, anti-slop). Use when the user asks to follow the Atris system or mentions atris, MAP.md, TODO.md, journal/logs, features, plan/do/review, or anti-slop policies.
memory
Search and reason over Atris journal history. Use when user asks about past work, decisions, history, or patterns. Uses RLM pattern (grep first, reason second).
langchain-orchestration
Comprehensive guide for building production-grade LLM applications using LangChain's chains, agents, memory systems, RAG patterns, and advanced orchestration
vm-dev
虚拟机开发专家,专注于字节码、指令、栈帧、内存管理和垃圾回收。
honest-forget
Graceful memory compression with integrity — summarize before forgetting, never fabricate
protocol
Protocol names ARE K-lines.
langchain-agents
Expert guidance for building LangChain agents with proper tool binding, memory, and configuration. Use when creating agents, configuring models, or setting up tool integrations in LangConfig.
auto-claude
Autonomous multi-agent coding with git worktree isolation, QA validation, and memory. Use for complex features requiring autonomous implementation.
shodh-cloudflare
Persistent memory system for AI agents running on Cloudflare's edge network. Use this skill to remember context across conversations, recall relevant information, and build long-term knowledge. Activate when you need to store decisions, learnings, errors, or context that should persist beyond the current session.
claude-mem
Persistent memory compression system for Claude Code enabling context preservation across sessions with automatic observations, semantic search, and privacy controls
remember
Rebuild context from previous Claude Code sessions in the current directory. Use when asked to "remember", "what was I working on", "recap last session", "summarize recent work", "catch me up", or when starting a new session and needing to understand what happened before.
context-window-stewardship
Use when context window is filling up, when agent responses degrade in quality over a long session, when deciding what to load into an agent's context vs keep in files, or when designing multi-agent systems where subagents need isolated contexts. Triggers on: context full, context rot, compaction, session degradation, token limit.
Self-Learning Agent
Cross-project learning engine with automatic failure capture and context-aware memory compression
react-agent-loop
Use when building AI agents that need to reason and act in loops, when an agent needs to use tools iteratively, when implementing memory across agent turns, or when debugging an agent that gets stuck or loops infinitely. Triggers on: ReAct, agent loop, tool use, memory, LangChain, agent stuck.
system-info
Retrieve and display system information including CPU, memory, disk usage, network status, and OS details
server-monitor
Monitor server health including CPU, RAM, disk usage, uptime, and process activity with alerting