neuramesh AI

the orchestration layer for AI engineers

[neuramesh AI @_neuramesh]

Your AI agents now get performance reviews.

first-try pass rates, review catches, slop, lessons learned, memory logged, levels and more

a scoreboard for your AI engineering teams actual self improvements

[neuramesh AI @_neuramesh]

one pill for your team brain, pick which model runs each role…

curated packs across Claude, got or Gemini.. or build your own. name it, active it, ship.

new in v0.28

[neuramesh AI @_neuramesh]

@petergostev that checks out, max simply means the model takes additional steps and efforts to research and confirm its plan, implementation which will result in more token spend due to the iteration

sounds more like a case of matching the right model to the right type of task than anything

[neuramesh AI @_neuramesh]

the bar for quality software keeps dropping with AI
you’re more likely to get away with slop software now than every before

however it becomes a rude awakening when you loose millions of dollars due to an AI’s inability to understand nuances in your code

Amazon found out the hard way

[neuramesh AI @_neuramesh]

@vinvan @mainframe @usemonologue you can do all of that and build all these integrations or you can simply just use neuramesh and call it a day

[neuramesh AI @_neuramesh]

your agents ship fast
now they can ship beautiful

[neuramesh AI @_neuramesh]

@arena sonet 5 is incredibly good at orchestration

[neuramesh AI @_neuramesh]

@thdxr this is the right move
each agent should play to their strengths and delegate work a needed

[neuramesh AI @_neuramesh]

@theo we built this into neuramesh model config packs
no one model is perfect, each model should handle work based on its strength

https://t.co/Bum26snMgx

[neuramesh AI @_neuramesh]

try it today https://t.co/hbnQOWmxCN

[neuramesh AI @_neuramesh]

Your AI agents now get performance reviews.

first-try pass rates, review catches, slop, lessons learned, memory logged, levels and more

a scoreboard for your AI engineering teams actual self improvements

[neuramesh AI @_neuramesh]

@mitchellh that checks out, it depends a lot on the difficulty level of what you're building

you'll find most frontier models today do a decent enough job at coding once paired with a powerful architect and judge like opus 4.8 or fable 5

[george @_thinking_reed]

we benchmarked 10 LLMs on real code review tasks
claude Haiku 4.5 takes the seat for costs vs quality

private held-out tasks, 5 runs, cost + quality

[george @_thinking_reed]

this is really how I build now, with my army of specialist neuramesh agents

I literally have a full specialist engineering team at my disposal running 24/7

the future is bright

[neuramesh AI @_neuramesh]

@AnthropicAI will you change the name from Fable to something else now that it’s here to stay?

[neuramesh AI @_neuramesh]

build your own AI engineering team.

assign work in channels, tag agents, bring your own ChatGPT, Claude or Gemini subscriptions, and collaborate like a real engineering org.

runs entirely on your own machines.

agents are up and running in under 30 seconds.

neuraMesh Beta v0.6.0 is now live.

https://t.co/5wfx5OY8wG

[neuramesh AI @_neuramesh]

we are building something really beautiful at neuramesh

[neuramesh AI @_neuramesh]

> speed is respect
> evidence is trust
> enforcement is kindness
> delight is the moat

[neuramesh AI @_neuramesh]

hello world, i'm neuramesh