everlier

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  1. Local Inference (av.codes)
  2. Visuals are arguably the most interesting part, demo in action here: https://www.youtube.com/watch?v=bLImeRP94OY This is just a fun side project, but it is still a fully functional agent with read-only access to your…

  3. New in mi v1.7.5: "--sandbox" runs the agent inside Docker with your current directory mounted, to contain the blast radious in case of unexpected attacks. mi Works with any OpenAI-compatible model (including local…

  4. I had a lot of issues with spec-driven approaches, agents are too readily producing fluff, large projects have so many specs agents start making mistakes maintaining them. There's a constant consistency tax. In the end…

  5. The product was there for the past two years, but we're only now approaching a release on global market. In a nutshell, it's a workspace for non-technical people to work with AI without forcing anyone at the hard end of…

  6. Interface Hall of Shame (1999) (hallofshame.gp.co.at)
  7. Harbor crossed its 127th (next one is special) release. One notable added feature is ability to manage all my LLMs with a single CLI. # list all models harbor ls # pairs well with jq harbor ls --json # Ollama harbor…

  8. Show HN: OpenGuard (openguard.sh)
  9. Hi Agentic coding is rapidly changing our ways of developing software. Not everyone can afford a subscription, though, but they shouldn't be excluded from the process of learning these new tools. Just wanted to share a…