Using supermemory local with different providers

Copy-paste .env setup for Ollama, OpenAI, Anthropic, Gemini, and OpenRouter

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

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.

OpenAI

.env

OPENAI_API_KEY=sk-...

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

Anthropic

.env

ANTHROPIC_API_KEY=sk-ant-...

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

Gemini

.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

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.