Show HN: Shodh-Memory – Offline AI Memory for Robots and Drones (Rust/Python)(github.com)

1 pointsby shodh-varun7 เดือนที่ผ่านมา1 comments

Show HN: Shodh-Memory – Offline AI Memory for Robots and Drones (Rust/Python)

https://github.com/varun29ankuS/shodh-memory

Hey HN, I built this because most AI memory solutions (mem0, Zep) need cloud connectivity. That doesn't work for drones flying beyond cell coverage or robots in warehouses.

Shodh-Memory is a local-first AI memory system:

  - 100% offline, runs on edge devices
  - 4MB binary, sub-100ms retrieval
  - Multi-tier memory (working → session → long-term)
  - Geo-spatial queries for GPS-tagged memories
  - Mission tracking for autonomous systems

Install: pip install shodh-memory

  Quick example:
  ```python
  from shodh_memory import MemorySystem

  memory = MemorySystem("./robot_memory")
  memory.record(
      content="Obstacle detected at X=5.2, Y=10.1",
      experience_type="observation"
  )
  results = memory.retrieve("obstacles near position 5")

Rust core with Python bindings via PyO3.

Website: https://shodh-rag.com/memory PyPI: https://pypi.org/project/shodh-memory/ GitHub: https://github.com/varun29ankuS/shodh-memory

Feedback welcome - especially from anyone working on robotics or edge AI.

1 comments

luxiedge7 เดือนที่ผ่านมา

Love seeing more Rust-based edge AI tooling. The 100% offline constraint is underrated – too many "edge" solutions quietly phone home.

Question: how are you handling numerical precision for the geo-spatial queries? I've been working on deterministic math for similar use cases (autonomous systems, orbital mechanics) and the edge hardware constraints are fascinating.