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ajeetraina777/sbx-mem0-kits:gemini

Machine learning & AI
Manifest digest

sha256:6aa1ce263fedac28ef678d7e3df0e1f045551a45f7bf83f211a2edb09cbed5ec

Last pushed

about 1 month by ajeetraina777

Type

Sandbox Kit

Manifest digest

sha256:6aa1ce263fedac28ef678d7e3df0e1f045551a45f7bf83f211a2edb09cbed5ec

MIXIN

Adds the Mem0 memory layer (mem0ai) to an agent, using Google Gemini for both the LLM and the embedder. Store the key with: sbx secret set -g google (the kit holds no key).


Network Egress

pypi.org

files.pythonhosted.org

raw.githubusercontent.com

github.com

release-assets.githubusercontent.com

generativelanguage.googleapis.com

Apply this mixin to a sandbox

sbx run <agent> --kit docker.io/ajeetraina777/sbx-mem0-kits:gemini

Make sure you have docker sbx installed

Run the following command to install sbx on your machine.

macOS
brew install docker/tap/sbx
Windows
winget install Docker.sbx
Learn more about docker sbx