Your entire media library, searchable by memory instead of filename, running right on your own machine. It’s a local-first AI file agent called MUZIM. Instead of managing folders, you work with what's actually inside your photos, videos, and documents. Here's how it comes together in a real workflow: You... get back from a two-week trip with 2,000 photos and clips on your camera. You point MUZIM at the folder, and it builds Collections on its own, by place, by people, by day. Nothing gets moved from where it already lives. A week later you want "the sunset shot where everyone's laughing." You don't remember the filename. So you just describe it. Vibe Search understands what's inside your media and takes you straight to that moment, even the exact second inside a video. Once the local model is downloaded, this part runs fully offline, connected or not. Then you turn it into something. Connect your own Claude or GPT key, and the online AI Agent pulls the best shots from that trip and drafts a highlight video, an X thread, or a recap. Through MCP, compatible tools work with authorized context without re-uploading gigabytes of raw video - saving massive input tokens while keeping raw files strictly local. The whole idea: search and organization run locally, on your device the AI workflows run when you want them, on your own key your raw files never leave your machine Cold storage becomes a private workspace you actually control.show more

Here's the link to try @muzim_opensoul :

Jumping directly to the exact moment inside a video just by describing what you remember is a killer use case. Local-first + offline search + your own AI keys is a really interesting combination.

The ability to jump to the exact moment inside a video just by describing what you remember is seriously useful. Local-first + offline search makes this even better.

Local search with optional online reasoning feels like the right architecture for personal media.

Search by memory, not filename, genius idea

That's perfect 💯 Really impressive work on this AI project 🔥 Innovation + creativity like this always stands out. The future looks bright for your idea! DM me 📥

Searching around human memory instead of file structure is the real shift.

local first agents are the move, cloud storage feels dead now

This is what private AI workflows should look like Local files and real control is a huge win. Check Inbox ☺️

Local-first is the right direction. The part that doesn't get said enough: even with great retrieval, someone still reviews every output before it goes anywhere. That review cost compounds faster than the compute

Local processing and optional cloud reasoning complement each other well here.

Local-first, your own keys, files never leave the device... right approach. But what's the local model footprint? Vision models on-device have real energy costs. Or you're trading one problem for another.

Storage becomes much more valuable when you can search it by meaning.

Exact timestamp search across raw footage could save editors an enormous amount of time.

Giving agents only the context they need is a much better workflow.

connecting your own Claude or GPT key gives the workflow way more flexibility

Private files and smart search make a really useful combo.

This could turn the post-trip camera dump into an organized, searchable archive automatically.

Filenames are basically useless hieroglyphics at this point.

Products like that only work if someone actually tested the models underneath instead of trusting the marketing. For an early SalesGPT project I benchmarked over 10 open-source LLMs myself and narrowed it to two finalists, Falcon 7B and Cerebras 1.3B, on my own quality scoring.

Searching by what happened instead of remembering a filename is such a natural interaction.

Describe the moment and jump straight to it” is exactly how media search should work.

Exact-moment video search is a genuinely practical use of multimodal Al.

local first media search is the real unlock, describe the moment, not the filename

The combination of local indexing, authorized context and MCP is where this becomes more than a search tool.