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ajeetraina777/sbx-mem0-kits:dmr

Machine learning & AI
Manifest digest

sha256:f1c81a412d0695a53c96b347763222a2a115376ad2a176fbba9b93666f2c0596

Last pushed

about 1 month by ajeetraina777

Type

Sandbox Kit

Manifest digest

sha256:f1c81a412d0695a53c96b347763222a2a115376ad2a176fbba9b93666f2c0596

MIXIN

Adds the Mem0 memory layer (mem0ai) to an agent, wired to a local Docker Model Runner for both the LLM and the embedder. No cloud credentials, no external vector database.


Network Egress

pypi.org

files.pythonhosted.org

raw.githubusercontent.com

github.com

release-assets.githubusercontent.com

Apply this mixin to a sandbox

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

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