ollama.

Everything we've published on ollama across guides, agents, hardware reviews and glossary entries: 13 entries in total.

Guides (4)

Agents (3)

  • Nanobot

    Personal AI agent in Python (MIT) with a browser UI and chat apps. Native Anthropic, OpenAI and OpenRouter providers plus local servers; its shell sandbox is off until you switch it on.

  • NanoClaw

    Small TypeScript agent (MIT) built on Anthropic's Claude Agent SDK. Every agent runs in its own Docker container, on macOS, Linux or Windows through WSL2.

  • ZeroClaw

    Single Rust binary from ZeroClaw Labs, MIT or Apache-2.0. Works with Anthropic, OpenAI, Ollama and about twenty other providers, and turns on an OS sandbox it detects.

Hardware (3)

  • Raspberry Pi 5

    Raspberry Pi 5 for self-hosted AI: four Cortex-A76 cores, 1 to 16 GB of LPDDR4X. Hosts Hermes Agent (no browser tool) or Nanobot; local models up to about 3B.

  • Intel NUC 13 and Geekom IT13

    Intel NUC 13 and Geekom IT13: 13th-gen Intel Core mini PCs with 16 to 64 GB of RAM, room for Hermes Agent with browser automation and a 7B model beside it.

  • Mac Mini M4 / M4 Pro

    Mac mini M4 and M4 Pro for local LLMs: 16 to 64 GB of unified memory at 120 or 273 GB/s, the two specs that decide which models load and how fast.

Glossary (3)

  • Ollama :Local LLM runtime that exposes an OpenAI-compatible API over local model weights.
  • llama.cpp :C++ inference engine for LLMs. The runtime under most local-LLM setups, including Ollama.
  • GGUF :File format for storing quantised LLM weights, used by llama.cpp and Ollama.