Clawzempic

Save 70-95% on LLM costs with smart routing, caching, and memory.

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