Skill: naveenspark/clawzempic (version 2.3.5)

--- name: clawzempic version: 2.3.5 description: Save 70-95% on LLM costs with smart routing, caching, and memory. author: Clawzempic homepage: https://clawzempic.ai license: MIT keywords: [llm, proxy, routing, caching, cost-optimization, memory, anthropic, openrouter] metadata: openclaw: emoji: "⚡" category: ai-tools requires: env: [] --- # Clawzempic Drop-in LLM proxy that routes simple requests to cheaper models, caches repeated context, and adds cross-session memory. Works with Anthropic and OpenRouter keys. ## Install ```bash openclaw plugins install clawzempic ``` The plugin handles signup, auth, and model registration automatically. Or standalone: ```bash npx clawzempic ``` ## How It Works Every request is scored for complexity in <2ms and routed to the right tier: | Tier | Traffic | Savings | |------|---------|---------| | Simple | ~45% | up to 95% | | Mid | ~25% | up to 80% | | Complex | ~20% | 0% (full quality) | | Reasoning | ~10% | 0% (full quality) | No LLM classifier in the hot path. Weighted multi-dimension scorer handles routing. ## Memory Server-side memory across sessions. No plugins, no extra API keys, no config. Your agent doesn't need to "remember" to remember. - Recent activity (per-session) - Scratchpad (cross-session working notes) - Context windowing (per-request) - Core memory (permanent facts and preferences) - Long-term recall (embedding-based) ## Verify ```bash npx clawzempic doctor # Check config + test connection npx clawzempic savings # Savings dashboard ``` ## Links - Website: https://clawzempic.ai - Dashboard: https://www.clawzempic.ai/dash - npm: https://www.npmjs.com/package/clawzempic

path: competitors/clawrouter/_meta.json
content: ownerId: kn75ww8nv3xfmpzvma9mq5v979809zvc
slug: clawrouter
version: 0.6.7
publishedAt: 1770735056044

path: competitors/elite-longterm-memory/_meta.json
content: ownerId: kn7ewywaj7mf48drbjw1baa5298016yv
slug: elite-longterm-memory
version: 1.2.3
publishedAt: 1770799020241

path: competitors/elite-longterm-memory/package.json
content: {
  "name": "elite-longterm-memory",
  "version": "1.2.3",
  "description": "Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol, vector search, git-based knowledge graphs, cloud backup. Never lose context again.",
  "keywords": [
    "memory",
    "ai-agent",
    "long-term-memory",
    "vector-search",
    "lancedb",
    "git-notes",
    "wal",
    "persistent-context",
    "claude",
    "gpt",
    "chatgpt",
    "openclaw",
    "moltbot",
    "cursor",
    "copilot",
    "github-copilot",
    "ai",
    "llm",
    "automation",
    "context-management",
    "mem0",
    "auto-extraction",
    "fact-extraction",
    "vibe-coding",
    "ai-tools",
    "developer-tools",
    "devtools",
    "typescript"
  ],
  "optionalDependencies": {
    "mem0ai": "^1.0.0"
  },
  "author": "NextFrontierBuilds",
  "license": "MIT",
  "repository": {
    "type": "git",
    "url": "https://github.com/NextFrontierBuilds/elite-longterm-memory"
  },
  "homepage": "https://github.com/NextFrontierBuilds/elite-longterm-memory",
  "bugs": {
    "url": "https://github.com/NextFrontierBuilds/elite-longterm-memory/issues"
  },
  "bin": {
    "elite-memory": "./bin/elite-memory.js"
  },
  "files": [
    "SKILL.md",
    "bin/",
    "templates/",
    "README.md"
  ]
}


path: competitors/intelligent-router/_meta.json
content: ownerId: kn7fk3qx0gw6fgep96zgbwd0f18084s1
slug: intelligent-router
version: 2.0.0
publishedAt: 1770722496977

path: competitors/intelligent-router/config.json
content: {
  "_comment": "Intelligent Router Configuration - Define your available LLM models here. Customize tiers, costs, and providers to match your setup. The router.py script uses this file to classify tasks and estimate costs.",
  "_instructions": {
    "id": "Unique identifier for the model (e.g., 'provider/model-name')",
    "alias": "Human-friendly name for the model",
    "tier": "One of: SIMPLE, MEDIUM, COMPLEX, CRITICAL",
    "provider": "Provider name (anthropic, openai, google, nvidia, local, etc.)",
    "input_cost_per_m": "Cost per million input tokens in USD",
    "output_cost_per_m": "Cost per million output tokens in USD",
    "context_window": "Maximum context size in tokens",
    "capabilities": "Array of capabilities: [text, code, reasoning, vision, function-calling]",
    "notes": "Optional notes about the model's strengths or limitations"
  },
  "models": [
    {
      "id": "provider/cheap-model",
      "alias": "Budget Model",
      "tier": "SIMPLE",
      "provider": "generic-provider",
      "input_cost_per_m": 0.10,
      "output_cost_per_m": 0.10,
      "context_window": 32768,
      "capabilities": ["text"],
      "notes": "Best for monitoring, status checks, and simple summarization"
    },
    {
      "id": "provider/mid-model",
      "alias": "Mid-Tier Model",
      "tier": "MEDIUM",
      "provider": "generic-provider",
      "input_cost_per_m": 0.50,
      "output_cost_per_m": 1.50,
      "context_window": 131072,
      "capabilities": ["text", "code", "reasoning"],
      "notes": "Good balance of cost and capability for general coding tasks"
    },
    {
      "id": "provider/advanced-model",
      "alias": "Advanced Model",
      "tier": "COMPLEX",
      "provider": "generic-provider",
      "input_cost_per_m": 3.00,
      "output_cost_per_m": 15.00,
      "context_window": 200000,
      "capabilities": ["text", "code", "reasoning", "vision"],
      "notes": "High-quality model for complex multi-file development and debugging"
    },
    {
      "id": "provider/premium-model",
      "alias": "Premium Model",
      "tier": "CRITICAL",
      "provider": "generic-provider",
      "input_cost_per_m": 5.00,
      "output_cost_per_m": 25.00,
      "context_window": 1000000,
      "capabilities": ["text", "code", "reasoning", "vision", "function-calling"],
      "notes": "Best available model for security audits and production-critical work"
    }
  ]
}


path: competitors/relayplane/_meta.json
content: ownerId: kn70avz11wkf2r8k6q7zmwerz980ewg9
slug: relayplane
version: 3.0.0
publishedAt: 1770765025652

path: competitors/triple-memory-skill/_meta.json
content: ownerId: kn7702zqawwfzrmyvecjt6382x7zzweg
slug: triple-memory-skill
version: 1.0.0
publishedAt: 1769488834255

Security scan verdicts — ClawScan: suspicious | static analysis:  | VirusTotal: malicious | SkillSpector: suspicious (CRITICAL)