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Lybrary,a persistent AST-aware code memory for AI agents(MCP server pip install)

https://github.com/vibhu-dixit/lybrary
1•vibhudixit_30•2m ago•0 comments

Show HN: Agent_acid – ACID rollbacks and dry-run guardrails for AI agents

https://github.com/muhammadwaqasai/agent_acid
1•waqasai123•3m ago•0 comments

I'm Begging You: Never Write with A.I

https://www.nytimes.com/2026/08/04/opinion/artificial-intelligence-ai-writing.html
2•edward•4m ago•0 comments

Cross platform, portable and CPU accelerated AI inference with Go 1.27

https://blog.devgenius.io/achieving-local-ai-inference-with-go-1-27s-simd-package-e8875f567e35?sk...
1•cheikhdev•9m ago•0 comments

WebDuck – DuckDB as a Service

https://webduck.autumo.ch/
2•jonbaer•24m ago•0 comments

Does Silicon Valley Dream of Philip K Dick?

https://www.ft.com/content/bdcf7729-3b03-49ec-82fb-b5773fdaa990
1•mraniki•25m ago•0 comments

xAI launches Imagine Image 2.0 for production image workflows

https://runtimewire.com/article/xai-imagine-image-2-precision-editing-production-workflows
1•ryanmerket•25m ago•0 comments

JEDEC releases new SPHBM4 standard to slash AI memory costs – 512-bit interface

https://www.tomshardware.com/pc-components/dram/jedec-releases-new-sphbm4-standard-to-slash-ai-me...
1•peter_d_sherman•36m ago•0 comments

The Genesis Mission: AI and Quantum-Driven Discovery

https://github.com/donutloop/donutloop-genesis/blob/main/README.md
1•donutloop•36m ago•0 comments

The ultimate horse

https://worksinprogress.co/issue/the-ultimate-horse/
2•zdw•40m ago•0 comments

Samsung debuts three new memory technologies – zHBM, zNAND-O, and BV-NAND

https://www.tomshardware.com/pc-components/dram/samsung-debuts-three-next-generation-memory-techn...
2•peter_d_sherman•41m ago•0 comments

I'm Sorry, Dave

https://world.hey.com/dhh/i-m-sorry-dave-380ec27d
1•ciconia•46m ago•0 comments

Supersonic Trebuchet [video]

https://www.youtube.com/watch?v=Co57SfcT-h0
1•fortran77•51m ago•0 comments

Facing 474 GW of interconnection requests, Texas hits pause on data centers

https://www.utilitydive.com/news/texas-hits-pause-data-center-interconnections/827046/
2•geox•56m ago•0 comments

AI on a Piece of Sponge?

https://driftspeed.wordpress.com/2026/08/07/ai-on-a-piece-of-sponge/
1•harhargange•58m ago•1 comments

OpenAI Trained Models for Months While Those Models Were Coordinating Exploits

https://thezvi.substack.com/p/openai-trained-its-models-for-months
3•paulpauper•1h ago•0 comments

Etherpad – the editor for documents that matter

https://etherpad.org/
3•treetalker•1h ago•0 comments

Neutrinos from Deep Inside Earth Provide a New Picture of the Mantle

https://www.quantamagazine.org/neutrinos-from-deep-inside-earth-provide-a-new-picture-of-the-mant...
1•jnord•1h ago•0 comments

Mr. Balaji Goes to Kazakhstan

https://www.labormarketmatters.com/p/mr-balaji-goes-to-kazakhstan
1•paulpauper•1h ago•0 comments

He Had Tenure. The New School Laid Him Off Anyway

https://www.nytimes.com/2026/08/05/nyregion/new-school-faculty-fired-nyc.html
3•paulpauper•1h ago•0 comments

Mythos social engineering AISI INC-2026-07-28-01

https://web.archive.org/web/20260731053721/http://github.com/ancaferro/myNetwork/pull/3
29•dnnehgf•1h ago•12 comments

SECSift – Read, search, compare, and analyze any SEC filing

https://secsift.com
1•Fajasy•1h ago•0 comments

Show HN: Utter – Turn your voice to automatic To-dos. No sign-up

https://play.google.com/store/apps/details?id=com.utter.app&hl=en_US
1•Vellan77•1h ago•1 comments

Traditions are habits somebody else paid for

https://pilgrima.ge/p/full-price
2•momentmaker•1h ago•1 comments

cpuscout.com Is Down

https://www.cpuscout.com/
1•RemingtonDavies•1h ago•0 comments

Show HN: Finding obfuscated GitHub PATs and API keys in large repos

https://medium.com/@hanikhaled876/how-i-found-hardcoded-secrets-in-facebooks-react-repository-ed7...
2•SENTINEL_888•1h ago•0 comments

Universality and diversity in human song (2019)

https://www.science.org/doi/10.1126/science.aax0868
2•Ariarule•1h ago•0 comments

Show HN: Buddy – An iOS browser with an AI agent inside

https://apps.apple.com/us/app/buddy-the-ai-mobile-browser/id6788047483
3•guribe94•1h ago•1 comments

Twelve Years in the Making: JDK 28 Ships Value Classes Preview

https://sudosecurity.org/jdk-28-feature-preview/
1•SudoSH•1h ago•0 comments

Etherpad: A multi-touch synthesizer for iOS and Android

https://etherpad.app
1•zebproj•1h ago•0 comments
Open in hackernews

Show HN: Toolbase – Build reliable AI teammates by example, not instruction

2•David1238•1y ago
Hey HN, we’re David and Ethan, co-founders of Toolbase.

Toolbase is an AI agent and workflow builder that helps you quickly create production-grade AI automations — batteries included.

Try it without registering here: https://gettoolbase.com/

------- The dev cycle in Toolbase -------

1. Define a rough goal.

2. Connect any API or MCP server (we have thousands, or bring your own).

3. Teach the AI what valid input and output examples look like (these later become your unit tests!).

4. Let Toolbase generate the perfect prompt, code, workflow, or agent.

5. Deploy your project as an API, MCP server, or chat interface!

Coding optional. Sharing encouraged.

Note: If you’re familiar with Cursor/Windsurf and the core concepts behind frameworks like Mastra (which Toolbase runs on), you already know how to use Toolbase. You retain the flexibility of coding but avoid boilerplate and plumbing tasks (integration, validation, context mapping, testing, etc.) unless you explicitly choose to do them.

------- Demo -------

https://www.loom.com/share/540c61b2c5634996b088ebbb16989cf0?...

This simple agent validates company billing addresses in our CRM (Pipedrive) by researching them through Tavily search. If there’s an address mismatch, it asks a human to pick the right one via email (watch on 2x speed):

Output email for the example shown in the demo: https://gettoolbase.com/assets/demo-screenshot.png

Producing code and more deterministic workflows follows a similar process.

------- Why another agent/workflow builder? -------

We started building Toolbase out of frustration with existing frameworks, especially for production use, and the lack of IDE support for MLOps artifacts, such as prompts, golden data, workflows, and evaluations. Since much of the code for agentic systems can be dynamically generated and validated using these artifacts, they often become even more important than the code itself.

After speaking with other builders, we also realized that manually coding workflows, experimenting with prompts through trial-and-error, and setting up infrastructure/integrations all took far more time than they should. Tools like Cursor and Windsurf help, but extracting meaning from AI-generated code is slow. Chatbots whipping up arcane code potions in tinted chat windows, which is the other end of the spectrum, demos really well but isn’t maintainable at all (sorry, vibe-coding). So we went with something in the middle: an AI-assiststed visual builder with full code fallback.

------- What do you think? -------

We’re excited for any feedback, thoughts, or questions from the HN community.

Let us know what you think in the comments!

- David & Ethan

Comments

David1238•1y ago
If you want to jump straight to trying it, you can preview it here:

https://gettoolbase.com

Try clicking the play button at the bottom right of workflow pane that appears next to the big blue text.

Clicking each node after you submit your query shows you its results for the run.

Full-screening the experience (icon on the top right) and expanding a node (same icon within a step of the workflow) lets you train that prompt in the same way we did in the demo.

The first node (“User Intent Extractor”) is purposefully vague so you can train it yourself!