Low-footprint memory backend for AI agents
djasdh/interest-memory · productivity
Low-footprint memory backend for AI agents — single binary, 50MB RAM, verify-augmented accuracy.
★ 3GitHub stars
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2026-08-25Last updated
GoLanguage
MITLicense
Key features
- One 50MB process instead of a Postgres + Redis + vector DB stack.
- Config — fully commented config.example.yaml (llm / embedding / fork / verify / wiki / recall / namespaces / interestmemory.kanban_exclude)
- Development — CGO_ENABLED=1 go test -race ./...
- plugin tests node --test bridge/...
Install command
dsh plugin --profile web add github:djasdh/interest-memory