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Everything your AI needs, in one place.
Ready-made agents, skills, personas, prompts, templates and tools. Each one is checked before it goes live, works with any model, and installs in a click. Rate what you use so the best rises to the top.
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A service that does a whole job for you - research, coding, support - and reports back.
Step-by-step instructions an AI follows for one kind of task. Install once, reuse everywhere.
A voice and set of rules layered onto any model: tone, audience, do's and don'ts.
A ready-to-use prompt with fill-in-the-blank variables and notes on when it works best.
A complete routing setup - models, rules and settings - in one file you can apply in a minute.
A single function an AI can call: a calculator, a search, a database lookup.
A language model endpoint with its price, speed and quality declared so the router can compare it.
adam-framework
5-layer persistent memory and coherence architecture for OpenClaw agents. Solves AI amnesia and within-session drift. Built and validated over 353 sessions on a live business. No CS degree required.
perf-optimizer
PoLang 性能优化专家。诊断内存泄漏、卡顿、帧率下降，提供 Profiler 使用指南与性能基线对比。
memory-qdrant
Local semantic memory with Qdrant and Transformers.js. Store, search, and recall conversation context using vector embeddings (fully local, no API keys).
agent-core-architecture
Use when structuring, auditing, or evolving core agent identity files (SOUL.md, USER.md, MEMORY.md) against reference architecture patterns. Covers role separation, incremental enhancement from refere
brainctl
Unified agent memory CLI — read, write, search, and maintain the shared memory spine (brain.db). Use for persistent cross-session memory, knowledge graph, event logging, decisions, affect tracking, an
profile-optimizer
Analyzes React DevTools Profiler exports, Chrome DevTools Performance traces, and Chrome heap snapshots / heap-timelines / heap-profiles. Identifies the highest-impact bottlenecks (long tasks, expensi
claw-knowledge-base
This skill should be used when the user references "kb://", asks to "save to knowledge base", "read from knowledge base", "store review result", "search knowledge base", or manages shared Markdown fil
clawiser
Agent 记忆与工作流增强套件。包含 8 个模块：记忆系统（memory-deposit、retrieval-enhance、noise-reduction）+ 工作流（hdd、sdd、save-game、load-game、project-skill-pairing）。当用户说"安装 ClaWiser"、"初始化 ClaWiser"、"运行 ClaWiser"时触发。
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
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
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
ourmem
Shared memory that never forgets. Cloud hosted or self-deployed. Collective intelligence for AI agents with Space-based sharing across agents and teams. Use when users say: - "install ourmem" / "insta
ourmem
Shared memory that never forgets. Cloud hosted or self-deployed. Collective intelligence for AI agents with Space-based sharing across agents and teams. Use when users say: - "install ourmem" / "insta
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
godot-profile-performance
Detects performance bottlenecks in Godot projects including expensive _process functions, get_node() calls in loops, instantiations in _process, and provides optimization suggestions with Godot profil
caching-strategies
Caching patterns and strategies for improving application performance. Use when implementing caching layers, choosing cache invalidation strategies, or optimizing read-heavy workloads with Redis, Memc
interleaving-unit-planner
Redesign a blocked topic sequence into an interleaved plan with mixed practice across related topics. Use when planning units, homework schedules, or revision programmes.
spaced-practice-scheduler
Design a spaced retrieval schedule for any topic list and timeline. Use when planning units, term sequences, or revision programmes.
agent-recall
Persistent compounding memory for AI agents. 5 default MCP tools: session_start, session_end, remember, recall, check. Full surface (18 tools) available with --full flag. Two-verb model: inhale (sessi
cast
用户画像生成、角色注册、生命周期和跨智能体同步。
rar-kody-w-manage-memory
Manages memories in the conversation system. This agent allows me to save important information to our memory system for future reference.
hermes-starter-onboarding
Use when a new Hermes profile needs guided first-run setup, identity choices, memory preferences, optional integrations, a step-by-step toolset walkthrough, web-search backend setup, or recurring dail
agent-memory-systems-v2
Agent Memory Systems workflow skill. Use this skill when the user needs "Memory is the cornerstone of intelligent agents. Without it, every and the operator should preserve the upstream workflow, copi
langchain
Build production-ready LLM applications with chains, agents, memory, tools, and RAG pipelines using the LangChain framework
Find
Search or browse by kind. Every card shows who made it, how many people installed it and what they think.
Install
One click. You get a manifest the router understands, plus copy-paste snippets for the CLI, Python and YAML.
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Prefer the terminal? osr stack apply registry://starter installs the starter template.