topic

sed.

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

Guides (1)

  • Git Wrapper sed RewriteRuntime · 2026-02-18

    Using sed in the git wrapper to rewrite all three SSH URL formats (git+ssh://, ssh://, git@) to HTTPS in a single pass, since proot has no SSH agent for GitHub authentication.

Agents (3)

  • 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.

  • IronClaw

    Rust agent from NEAR AI, MIT or Apache-2.0. Untrusted tools run in a WebAssembly sandbox with declared capabilities, and secrets are injected outside them.

  • 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 (4)

  • Mac Studio M3 Ultra

    Apple's 2025 local-LLM workstation: M3 Ultra, 96 GB of unified memory configurable to 256 GB, 819 GB/s. Since replaced by the M5 Ultra model.

  • Lenovo ThinkCentre M75q (used)

    Lenovo ThinkCentre M75q, used: a €150-250 Ryzen mini PC with 16 GB of RAM and an NVMe slot, enough for Hermes Agent with the browser tool.

  • Minisforum UM790 Pro

    Minisforum UM790 Pro: Ryzen 9 7940HS with Radeon 780M graphics and up to 64 GB of DDR5, for a Linux agent host that also runs local models.

  • Dell OptiPlex 3070 / 5070 Micro (used)

    €100-180 used Intel mini PC. 8th gen i5, 8-16 GB RAM, NVMe. The cheapest credible mini PC for self-hosted AI.

Glossary (5)

  • NanoClaw :Small MIT-licensed TypeScript assistant that runs every agent in its own Docker container, on macOS, Linux or WSL2. Built on the Claude Agent SDK.
  • VPS :Virtual private server: a virtualised slice of a physical server, rented by the month.
  • Edge AI :AI workloads running close to where data is generated rather than in centralised cloud datacenters.
  • GGUF :File format for storing quantised LLM weights, used by llama.cpp and Ollama.
  • Vector database :Database optimised for similarity search over high-dimensional embeddings.