> Pi is Lindy ↗. It’s been around for a year and has arguably the biggest developer community across all harnesses. It’s here to stay.
BTW this isn’t what Lindy really means
The only place showing some numbers is https://frontierharness.org/ but it isn't really up to date, it's easy to test yourself though
However, this is very much a “build what you need” type of harness. You have to be willing to use other people’s extensions or build/vibe your own before the harness is useful.
Why I find pi better:
- multi-provider/inference API support out of the box
- greater visibility into token flow/usage
- minimal system prompt
- no hand holding/decisions made for you on what your agents can/cannot do
- extremely customizable
- stable, minimal bugs in the base harness that I’ve experienced
- minimal feature bloat
It’s a great harness for someone who wants extreme control and adaptability. I don’t recommend it to my peers and colleagues who aren’t into tinkering.
For them/me, omp (https://omp.sh/) is excellent and batteries-included. Pi = Linux kernel, omp = Linux/GNU.
At the end of the day, it's quite easy to write together a bespoke agentic harness. So I'm sure there are countless additional ones. You don't really need a lib/open source one at all. Just make it write itself.
[0]: https://github.com/baalimago/clai [1]: https://github.com/OleksandrChekhovskyi/hax [2]: https://github.com/sigoden/aichat [3]: https://www.clai.chat/compare/
No. I'm done with npm-style dependency sprawl and the supply chain nightmares. Done with plugins, extensions, marketplaces with "install at your own risk" disclaimers.
Give me a opinionated monolith by somebody who has something at stake and doesn't externalize these costs, i.e. a corporation.
Maybe once we live in a world with lean-verified wasm-sandboxed provable-secure software we can get back to installing software written by randos on the internet.
I've been working on https://github.com/rcarmo/piclaw for most of the year, as well as https://github.com/rcarmo/gi and https://github.com/rcarmo/go-ai (as ports of pi and pi-ai/durable/etc., plus 3 or 4 pi-durable add-ons for Obsidian and other desktop apps) and the internals of pi are a grand thing indeed, because it was designed from the outset to be able to extend itself (which many people miss, because many people confuse the harness with the TUI).
"Engine" works well as the model. The car is the harness.
Pushing back further (etymologically): A horse is the model. The harness connects the horse to the coach/wagon, where the user sits. Multiple horses may be connected in parallel. Maybe oxen (different models) are connected for certain jobs, which require a harness appropriate for the workload.
I agree that harness, like agent, is a hype word and is often part of word soup. It's been at least a year now (an eternity in the AI wars) where the frontier model releases are just one factor we are using and weighing against competitors, and things I would put under the "harness" category matter as much or more.
And no one will see it coming except that one person in some remote part of the world (I don't say the US because, post-LLMs, I hardly think there's anything unique to US tech anymore. The best part was the sheer technical talent in the US, but that's worth a lot less with modern models and systems).
So no, I don't think we're anywhere near the end of innovation just yet. These will be some fun times, and I don't think the current way of building stuff will last too long. We'll definitely have better tools and ways of doing stuff, or so I hope. Keyboards have honestly lasted a lot longer than I would've expected, even though we've had STT tech for decades now.
Even today, office memes aside, it's just easier to type things out instead of speaking. For most people, typing is faster or fast enough anyway. Except when I'm on my phone.
Which ones? I don't see a single interface that can be replaced reliably. Complimentary maybe, but definitely not replaced. Would be interested to hear your opinion. It seems that even coding harnesses are a poor replacement for an ide. Drastically less information and if you think code doesn't even need to be read to be understood... Well, I guess we will just have to agree to disagree on that one. I think it needs to be engaged with at least as much as it was when written. Reading is the bare minimum.
Yet its own README says "vive code a real product".
___
What is the point of this blog post, declaring a problem solved with.. uh.. authority taking from.. uh.. uuuuuh. Anyway.
Is pi good? I guess? The post does mention some of its qualities.
Is it a sensible take to extrapolate this from that? I do not think so.
Intellectually unstimulating.
i am vibing a harness extension on top of it for our students called catatui:
https://msu.github.io/catatui/
that works w/our free-for-students-and-staff internal models & provides some student-oriented features, and it has worked very well
This is just nonsense. What set the US apart is its mass and ecosystem.
What is just a good idea in any other country gets 10k users as a side project. Whereas in the US it can more easily become a multi-million VC backed 'homogenous' product for its massive population/market.
Popular tech is rarely the best at a technical level (even when the best is developed within the US), it just has more opportunity to acquire weight and momentum to become the default choice for a problem-space.
That's only in post 2010s period, aka post apps and social media.
The boom in 80s/90s/2000s all of it kicked off from the deep technical know-how that rest of the planet just didn't have.
People can feel free to disagree, but they are really lying to themselves if they think anywhere else on the planet there was the sheer amount of tech talent as US until even 2010s.
Things have changed since and US is now largely valued because of it's large market and stuff, hence the off-shoring of so much of the technical and even advanced work.
But this was not the case before. With AI pushing the cost of building stuff to near 0 I don't see why you even need the US market to scale up an idea enough to prove viability. Sure the company might have to move to US, but there is no reason for it to be built in US anymore.
mark_l_watson•51m ago
I mostly use local models. I use pi with the strongest models my 64g mac can handle, and for fast light work I use ‘pool’ with Laguna 2.1 XS 6 bit quant. I am happy :-)