Manifest VS Svelte

At Manifest, we think that AI is an incredible technology, and that it deserves to be affordable. Our platform is open source and gives total control to our users. Check out our website and give us a star on GitHub to support us! Or simply share this post, as it helps others pay less for AI.

manifest URL: https://github.com/mnfst/manifest/tree/main/packages/openclaw-plugin Manifest matters because it combines model routing and observability in one plugin, intercepting requests to score and route them while recording costs and timings. It is one of the bigger public projects in the ecosystem, though it has also had public friction around scanner warnings and onboarding noise. Popularity: about 4.3k GitHub stars.

Manifest solves that problem by giving you access to 4 different tiers of complexity where you can add a different model for each. It is a very effective way of using routing to reduce costs and maximize the quality of your OpenClaw. It is open source and has both cloud and 100% local version.

That layer is Manifest, an open-source OpenClaw plugin built specifically to solve this. It sits between your agent and the provider, and the original OpenClaw configuration remains unchanged.

Our goal at Manifest is to lower the delegation cost as close to zero as possible. This means building infrastructure where AIs autonomously discover, evaluate, and use specialized services. Connection and payment should be instant too. Reducing delegation friction is key to enable this new economy.

OpenClaw does not ship with a built-in routing engine, so you need an external tool to make this work. Manifest handles this out of the box. It classifies each request and routes it to the right model automatically, so your heartbeats and simple lookups go to Haiku while complex reasoning still hits Opus. That alone cuts your bill dramatically without any manual config per task.

And if you're an stingy OpenClaw user, check out Manifest and stop paying too much tokens by routing queries to the right LLM.

Manifest is an open source backend as service and alternative to Supabase: https://dev.to/bd_perez/supabase-alternative-for-ai-code-editors-cursor-bolt-lovable-2d16

In this article, I’ll show you how to build a backend in under 5 minutes using Manifest directly from your Cursor IDE.

In this post I compare existing solutions for the backend of AI generated apps and share our journey building Manifest, a minimalistic open source backend for AI-assisted coding.

Svelte's pitch has always been easy to understand. The official site describes Svelte as a framework that uses a compiler so components do minimal work in the browser. Older Svelte copy made the contrast even sharper: move as much work as possible out of the browser and into the build step. That is a powerful architectural statement because the browser receives code shaped around the application, not a general interpreter for a component model.

For teams that can’t migrate fully, Svelte 5 supports embedding Svelte components in Next.js 15 apps using the @sveltejs/react package, which lets you use Svelte components in React apps with zero overhead. This lets you migrate high-traffic pages to Svelte 5 first, while keeping the rest of your app in Next.js 15.

⭐ sveltejs/svelte — 86,439 stars, 4,897 forks

{ "version": "https://jsonfeed.org/version/1.1", "title": "Svelte 5 Migration Patterns", "_svelte_patterns_meta": { "total_patterns": 34, "filtered_patterns": 34, "usage_hint": "Each item._svelte_pattern.search_signatures contains grep-friendly strings..." }, "items": [ { "id": "https://svelte.cogley.jp/patterns/attachments", "title": "Attachments Replace use: Actions", "date_published": "2026-03-08T00:00:00Z", "tags": ["syntax", "all"], "_svelte_pattern": { "id": "attachments", "since": "svelte@5.29.0", "category": "syntax", "frameworks": ["all"], "search_signatures": ["use:action", "use:tooltip", "use:clickOutside"], "replacement": "{@attach (element) => { ... }}", "notes": "use: still works but is legacy. Attachments work on components too.", "release_url": "https://github.com/sveltejs/svelte/releases/tag/svelte%405.29.0", "docs": [{ "label": "Attachments", "url": "https://svelte.dev/docs/svelte/@attach" }] } } ] }

On my computer, the linked benchmark gives the following results.

Object.defineProperty getter: 82M ops/sec, Proxy getter 32M ops/sec => proxy get is 2.56x slower.

Object.defineProperty setter: 14M ops/sec, Proxy setter: 12M ops/sec => proxy is 1.17x slower.

However, in my simple self written benchmark that compares the time it takes to sum the property values (i.e., getter) of 100 million proxies vs plain objects, the result is that the proxies are 13x slower.

When benchmarking the setting of the property value of the 100 million proxies vs plain objects, the result is that the proxies are 35x slower.

My simple benchmark gives results that significantly deviate from the linked benchmark. Regardless, the relevance of the performance implications of proxies should be evaluated on a case by case basis.

Regarding the memoization, I was primarily referring to accessing the getter multiple times (i.e., not necessarily in DOM rendering), which can cause unnecessary computation in Gea (as far as I can tell). In my envisaged use cases, this could often lead to problems (with, e.g., large data sets).

My issues with async mainly relates to developer convenience (i.e., managing the async stuff can be cumbersome). For example, one can use await in a top-level module statement, but not in a class getter. There has been some relevant discussions about this in the context of Svelte, see, e.g., https://github.com/sveltejs/svelte/discussions/15845, https://www.youtube.com/watch?v=1dATE70wlHc and https://www.youtube.com/watch?v=e-1pVKUWlOQ.

Consider this conceptual example (i.e., async computed value):

  store0.url = "...";

Some of them are good (formerly Richard Harris - Svelte[0]) some of them should stop podcasting.

[0]: https://svelte.dev/

I've been very impressed, so far, with Datastar[https://data-star.dev], a tiny JavaScript library for front-end work; I've been switching a personal side-project from using Svelte for it's UI to Datastar, and as amazing as Svelte is, Datastar has impressed me more.

The core mapping engine is MapLibre GL JS, a powerful open-source web map library 3. The front-end web framework of choice is Svelte, which MIERUNE has adopted company-wide as its default stack.

Personally, I (@trueadm) have been involved in some truly amazing frontend frameworks along their journeys — from Inferno, where it all began, to React and the journey of React Hooks, to creating Lexical, to Svelte 5 and its new compiler and signal-based reactivity runtime. Along that journey, I collected ideas, and intriguing thoughts that may or may not pay off. Given my time between roles, I decided it was the best opportunity to try them out, and for open source to see what I was cooking.