A "world" is a locally stored CRDT that contains the source code and data you store.
The home page, login and world editing experience is all built from within itself.
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A "world" is a locally stored CRDT that contains the source code and data you store.
The home page, login and world editing experience is all built from within itself.
https://github.com/srid/Appreciate
(Note: Only the macOS version is tested extensively at the moment)
I’m building Sift, a drop-in gateway that makes LLM tool use far more reliable when tools return large JSON payloads. The usual pattern is that agents paste raw tool outputs directly into the prompt, which quickly blows up context, causes truncation/compaction, and leads to incorrect answers once earlier results disappear. Sift sits between the model and its tools (MCP, APIs, CLIs), stores the full payload locally as…
It's still a big time saver to have something like this, and stops it even taking the risk of doing it in the first place.
It's MIT open source, offline first, single binary
2. boulderinglist.com - a catalog of climbing gyms across the world
3. livedsupport.com - AI driven support for colorectal issues
4. radiusing.uk - find where people are willing to do something to improve the social fabric of where they live
5. llmstxt.studio - AI-SEO via sitemaps, llms.txt, and AI search
6. probe.bike - tell stories with your cycling data
need to find a way to get more sleep
I'm trying to see how far I can get using AI to help me track pre-owned items for sale, starting with watches. I started with an OpenClaw agent that was looking for specific things I wanted to buy, and then I figured might as well make a whole site for it so I can share with others.