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@nightshiftdotsh is a young project with ambitious goals. We want to be the serverless runtime for AI agents and provide an incredible dev and operator experience.
We're not yet, but with the help of the community we'll get there. Is and will always be open source.
We're building software on github github.com/nightshiftco/n…
and building community on slack shorturl.at/hphTc
We're not yet, but with the help of the community we'll get there. Is and will always be open source.
We're building software on github github.com/nightshiftco/n…
and building community on slack shorturl.at/hphTc
Deploy Claude Code SDK Stateful Agents into isolated sandboxes that run in the cloud but feel local.
Build your flock of Agents 🦜
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gianni retweeted
Refreshing to see literally anything that’s not an LLM
Introducing TimesFM-3, a state-of-the-art time series foundation model that enables accurate multivariate time series forecasting in a single forward pass, significantly outperforming other forecasting models across major benchmarks.
More on the blog →goo.gle/4x5WGpD
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gianni retweeted
I think it would be great if people were upfront about declaring their own understanding of a topic / their pull request. Now that everybody can talk confident with their clanker it becomes way too hard to understand if they knew what they were doing when they prompted it :(
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Is there a serverless type platform where I can bring a LoRA adpater and inference is just handled for me?
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Our current runtime is held together with duct tape and bubblegum. By that of course I mean Python asyncio and sheer determination.
We're starting the process of embedding containerd directly into Nightshift to standardize the communication between the Agent API Runtime (nightshiftd) and the sandbox.
The goal is to have a flexible platform that can run agents in any sandbox you want (Kata Containers, Firecracker, runc, whatever) across any cloud or on-prem, inside or out of Kubernetes.
I'm documenting this journey and as our first installment. I wrote up how I wrapped my head around container networking.
nightshift.sh/blog/container…
We're starting the process of embedding containerd directly into Nightshift to standardize the communication between the Agent API Runtime (nightshiftd) and the sandbox.
The goal is to have a flexible platform that can run agents in any sandbox you want (Kata Containers, Firecracker, runc, whatever) across any cloud or on-prem, inside or out of Kubernetes.
I'm documenting this journey and as our first installment. I wrote up how I wrapped my head around container networking.
nightshift.sh/blog/container…
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I was tinkering with KVM to get an idea of what Firecracker was doing under the hood for @nightshiftdotsh and decided to write a blog post of building a VMM (what firecracker is) in Python, from scratch.
nightshift.sh/blog/less-curs…
nightshift.sh/blog/less-curs…
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In the latest release of @nightshiftdotsh (v0.4.3) Agent events are durable and repayable.
Deploy your own KVM backed Agent Sandbox Platform. Is and will always be OSS.
Deploy your own KVM backed Agent Sandbox Platform. Is and will always be OSS.
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The @nightshiftdotsh SDK is boring.
We designed it that way.
Write your agent in the frameworks you're used to (we're using the @OpenAI Agent SDK here). Wrap your agent in a decorator. Run it in a sandbox. Deploy and serve users.
Is and will always be open source, for the community.
We designed it that way.
Write your agent in the frameworks you're used to (we're using the @OpenAI Agent SDK here). Wrap your agent in a decorator. Run it in a sandbox. Deploy and serve users.
Is and will always be open source, for the community.
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We're running real business workloads through Nightshift 🦜. Define your task, connect your data, run jobs to completion. This is the next generation of compute, domain experts programming serverless work through (the hottest programming language) English!
- Powerful online Agents run data driven business tasks to completion
- Runtime Agent Evals guide them towards user intent
- Git as the communication channel
- Hardware level security
We've launched the private beta of our managed service. If you're interested in chatting with us, we'd love to hear from you. lnkd.in/e3CnuDUZ
We're open source! Join our community lnkd.in/eNhXXyYz
- Powerful online Agents run data driven business tasks to completion
- Runtime Agent Evals guide them towards user intent
- Git as the communication channel
- Hardware level security
We've launched the private beta of our managed service. If you're interested in chatting with us, we'd love to hear from you. lnkd.in/e3CnuDUZ
We're open source! Join our community lnkd.in/eNhXXyYz
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In the latest developments of @nightshiftdotsh we now ship Gollum (a simple wiki system built on top of git) that gives you a view into the agent workspace.
This gives a consistent space for humans and agents to collaborate on knowledge work asynchronously. Have the agent read add, or have them write out to a reports directory after performing a long running background job.
This gives a consistent space for humans and agents to collaborate on knowledge work asynchronously. Have the agent read add, or have them write out to a reports directory after performing a long running background job.
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In the latest @nightshiftdotsh (v0.1.3) you can now turn a coding agent like @opencode into background knowledge worker.
- Define your task spec on the job board
- Run multiple tasks at once
- Agents run tasks to completion
- Run tasks in the background
We're open source.
- Define your task spec on the job board
- Run multiple tasks at once
- Agents run tasks to completion
- Run tasks in the background
We're open source.
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