Using supermemory local with different providers

Supermemory local needs one model provider to power summaries, contextual chunking, and memory extraction. Pick the tab for whichever one you already have a key for. For the full variable reference (fast/text model overrides, offline setup, tuning), see Configuration.

Ollama
OpenAI
Anthropic
Gemini
OpenRouter

Fully offline — no API key leaves your machine. Any OpenAI-compatible local runner works the same way (LM Studio, vLLM, llama.cpp server); this is the Ollama version.

ollama pull gpt-oss:20b

.env

OPENAI_BASE_URL=http://localhost:11434/v1
OPENAI_API_KEY=ollama        # any non-empty string — Ollama doesn't check it
OPENAI_MODEL=gpt-oss:20b

gpt-oss:20b is a good default for a laptop-class GPU. Bigger models work if you have the VRAM — set OPENAI_MODEL to whatever you’ve pulled.

.env

OPENAI_API_KEY=sk-...

That’s it — defaults to gpt-5.1. Override with OPENAI_MODEL if you want a different one.

.env

ANTHROPIC_API_KEY=sk-ant-...

Runs on claude-haiku-4-5 — this one isn’t currently configurable via env var.

.env

GEMINI_API_KEY=...

Runs on gemini-3.1-flash-lite-preview — also not currently overridable. This is the only key that also unlocks image, video, and high-fidelity PDF understanding (see the full provider table).

OpenRouter isn’t a native provider — it’s OpenAI-compatible, so it slots into the same OPENAI_BASE_URL path as Ollama:

.env

OPENAI_BASE_URL=https://openrouter.ai/api/v1
OPENAI_API_KEY=sk-or-...
OPENAI_MODEL=openai/gpt-4o-mini

Set OPENAI_MODEL to any model slug from OpenRouter’s model list — routing, fallback, and pricing all follow OpenRouter’s own rules from there.

Getting Started

Concepts

Using supermemory

Deployment

Other resources

Migration Guides