ValeoProtocol's new npm package lets AI agents independently manage payments, credit, and budgets. Builders can now automate financial operations in their AI products, enabling new business models and reducing manual overhead.
AI agents just leveled up, they now have their own financial system
@ValeoProtocol
just launched valeo-mcp/server, an npm package that allows AI agents to independently handle payments, take credit, track expenses, and manage budgets. Built with :
- x402 for smooth,
Google AI Studio offers 1,500 free daily requests to the Gemma 4 31B model, which can be integrated into workflows or products via Vercelโs AI Gateway. Builders can leverage this to prototype or launch AI-powered tools with minimal upfront cost.
Most people donโt realize this:
You get 1,500 free daily requests to Gemma 4 31B on
@GoogleAIStudio
.
Thatโs plenty of free inference (imo).
And you can route it into
@NousResearch
Hermes Agent via Vercelโs AI Gateway:
1. Create an API key on Google AI Studio
2. Add it u
A new GStack-Lite tool accelerates OpenClaw's Claude Code execution, enabling faster and more capable AI task automation. Builders can leverage this to develop smarter, more efficient AI-powered products.
It's official. GStack for OpenClaw is here. When OpenClaw has to use Claude Code to do things (and it does this all the time) suddenly it can do it with wings.
I created a special gstack-lite to keep OpenClaw tasks fast while making them think harder and get more done.
PetClaw offers a hassle-free, one-click setup for running AI agents on your desktop, eliminating the typical install and configuration headaches. This enables builders to rapidly prototype or deploy AI-powered workflows without technical barriers.
If youโve tried OpenClaw, you know the pain:
install โ break โ fix โ repeat
@PetClaw_ai
flips it.
One click.
No setup.
A working AI agent on your desktop in minutes.
Highlights the need for dependency graphs in AI coding agents to prevent unintended code breakage across files. Builders can leverage this insight to create more robust AI dev tools or enhance existing ones.
This is the missing layer for AI coding agents. Right now Claude Code and Cursor fly blind across file boundaries. A dependency graph that understands call chains means the agent can scope changes without accidentally breaking something three directories away.
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AI agentsdeveloper toolsdependency graphautomation
A new resource reverse-engineers top design systems into markdown files that AI agents like Claude Code and Cursor can use, enabling automated UI generation with professional design context. This helps builders ship better-looking products faster.
Your AI agent keeps building UI that looks like garbage because it has zero design context.
Someone just fixed that by reverse-engineering 31 billion-dollar design systems into single .md files that Claude Code and Cursor can actually read.
Drop one file into your project root.
GitNexus claims to solve the problem of AI code editors breaking projects by lacking full context. Builders can leverage this tool to ship more reliable AI-powered coding products or services.
STOP. Your AI is coding BLINDโฆ and you donโt even realize it.
Every time Claude Code or Cursor edits your codeโฆ
Thereโs a high chance itโs silently breaking something.
Not because itโs dumb.
Because it canโt see the full picture.
Until now.
Someone just dropped GitNexus
Deepagents v0.5 introduces async subagents, multi-modal filesystem support, and a new backend interface, making it easier for builders to create advanced AI agent workflows. This upgrade can help entrepreneurs rapidly prototype and deploy AI-powered automation products.
we just released deepagents v0.5 with support for async subagents, multi-modal filesystem support, and a sleek new backend interface.
read all about it!!
This tweet highlights how builders with a Gemini subscription can set up a free, high-quality Gemini 3.1 Flash Lite API on Google Cloud, enabling rapid prototyping or integration into products without worrying about usage limits.
If you have a Gemini subscription, create a free API on Google Cloud yourself and use Gemini 3.1 Flash Lite Previewโit's fast, high quality, and the free quota is more than you'll ever use up.
Unsloth enables faster, lower-VRAM fine-tuning of Gemma 4 models locally, making advanced AI customization accessible to solo builders with modest hardware. This unlocks rapid prototyping and product development for AI-powered apps.
You can now fine-tune Gemma 4 with our free notebooks!
You just need 8GB VRAM to train Gemma 4 locally!
Unsloth trains Gemma4 1.5x faster with 50% less VRAM.
GitHub:
github.com/unslothai/unsl
โฆ
Guide:
unsloth.ai/docs/models/ge
โฆ
Gemma-4-E4B Colab:
colab.research.google.co
Plano is a smart proxy that routes prompts to the most cost-effective LLMs, reducing AI inference costs by up to 50%. Builders can use this to optimize expenses and scale AI-powered products more efficiently.
This AI proxy cuts your LLM costs by 50%
Plano acts as a smart data plane that automatically routes your prompts to the right model based on complexity.
It runs on Arch-Router-1.5B, giving you production-grade routing deployed at scale at Hugging Face.
- Smart LLM routing
A curated list of free AI-powered coding and prototyping tools that enable entrepreneurs to quickly build and test new product ideas with minimal upfront cost.
Free tools for vibe coding:
- replit
- grok 3
- v0(.)dev
- lovable
- bolt(.)new
- windsurf
- cursor (free tier)
- claude (free tier)
- google AI studio
just pick one and start building
LangSmith now lets you set cost alerts for AI agents, helping builders control expenses as usage scales. This is crucial for entrepreneurs running automated AI services to avoid unexpected costs and protect margins.
Introducing Cost Alerting in LangSmith
More and more agents are making it to production, and costs are increasing dramatically.
Use LangSmith to set configurable alerts on total cost, so you know right away when your agents are spending more than they should.
Docs:
Langchain-collapse is a middleware that reduces context bloat in long-running AI agents by collapsing tool call sequences, making agent workflows more efficient and cost-effective for builders.
long running agents (like deepagents) suffer from tool call induced context bloat
s/o
@johanbonilla
for langchain-collapse, an eager context compaction middleware that collapses long tool call sequences, reducing summarization overhead
A new middleware lets you integrate Claude's compaction engine into LangChain agents, enabling more efficient AI workflows. Builders can leverage this to enhance their AI products or services quickly.
the langchain community is so awesome
claude code's source leaked last week and
@IeloEmanuele
immediately built claude's compaction engine as
@LangChain
middleware
drop this into your agents/deepagents today!
NVIDIA released a 600M parameter speech recognition model on Hugging Face that supports both offline and real-time transcription with low latency. Builders can leverage this to add robust voice features to products without switching models.
NVIDIA just dropped a unified speech recognition model on Hugging Face
One 600M parameter model handles both offline transcription and real-time streaming with just 160ms latencyโno need to switch checkpoints.
A new wave of AI-powered IDEs and agents are emerging that don't just autocomplete code, but actively collaborate in building software. Builders can leverage these tools to accelerate product development and ship faster.
right now weโre entering the agentic IDE era.
tools where AI doesnโt just autocomplete codeโฆ
it actually builds with you.
so far youโve got things like:
> antigravity
> codex
> claude
> cursor
> windsurf
> replit agent
> lovable
> bolt(.)new
> v0 by vercel
> devin
the tools
LangChain is expanding its agent middleware ecosystem and seeking community contributions. Builders can leverage this middleware to accelerate AI product development or create new integrations.
we're building out a community middleware page for
@LangChain
, and we need your help growing it.
agent middleware is one of the most powerful building blocks we've shipped. what are you building with it?
GLM-5, a new large language model from Zai, is now available in production for LangChain Fleet via Baseten. Builders can leverage this integration to quickly add advanced AI capabilities to their apps or workflows.
we practice what we preach --
@Zai_org
GLM-5 (via
@baseten
) now available in production for
@LangChain
Fleet!
Vibeyard is an open-source Electron IDE tailored for AI coding agents like Claude Code, featuring an embedded browser and instant UI inspection. Builders can leverage this tool to rapidly prototype and test AI-powered apps, speeding up development cycles.
The video shows a demo of Vibeyard, an open-source Electron IDE for AI coding agents (Claude Code, etc.). It features an embedded browser tab where you run your app locally, then click any UI element (button, text, div) to "inspect" itโClaude instantly gets the exact
Pokee_AI is highlighted as a rare AI agent tool that balances flexibility and production reliability, making it a strong candidate for builders seeking to automate or enhance their products with agents that actually work in real-world settings.
Been deep in the AI agent space this quarter.
Most tools are either too fragile for production or too locked-down to be useful.
@Pokee_AI
is the first one Iโve tested that threads that needle.
Notes below โ
LoongClaw is a customizable Rust framework for building AI agents, enabling entrepreneurs to rapidly prototype and deploy unique AI-powered products or services.
Build and customize any ai agent with this minimalist rust framework.
LoongClaw is not meant to stop at being another generic claw.
It also reflects the way people want to work: respect differences, stay open, practice reciprocity, think long-term, and stay grounded.
x402 enables AI agents to make payments autonomously, and Guardx402 adds essential guardrails for safe spending. Builders can leverage these tools to create secure, economically autonomous AI products.
Great piece
@davewardonline
x402 is the payment layer that finally gives AI agents economic autonomy. Every week more builders are joining the x402 wave.
But autonomous agents that spend money need guardrails. Thatโs why I built
@guardx402
during the
@OpenWallet
hackatho
GLM-5, now available on Baseten, marks a leap in open models' ability to use tools and follow instructions. Builders can leverage this to create smarter, more capable AI-powered products or services.
Open models have crossed a threshold in their ability to use tools and follow instructions. This is a huge moment! Try GLM-5 (deployed on
@baseten
) in Fleet today
smith.langchain.com/agents
A tool or method to add robust, hybrid search-enabled memory to AI agents, enabling more advanced and reliable automation products. This can help builders create smarter, more persistent AI-powered services.
Add production-grade memory with hybrid search to any AI Agent.
TurboQuant enables runtime quantization, letting builders extend Gemma 4 26B's context window by 42% while maintaining usable output speed. This unlocks more powerful AI apps with larger context at lower hardware cost.
If you werenโt convinced before about TurboQuant, check out
@Prince_Canuma
latest experiment. He extended the native context window of Gemma 4 26B by 42% and maintained an acceptable 23 tps output speed (the trade off).
Remember TurboQuant is a runtime quantization
KTA-Oracle provides whale alerts, live payment rates, and compliance data for AI agents on Keeta. Builders can leverage this tool to enhance AI-powered financial or compliance products, speeding up development.
If you want to see what I've been working on, check out KTA-Oracle.
Built for AI agents on Keeta: whale alerts, live global payment rates, and deep compliance data. Any feedback or support helps me a ton!
@KeetaNetwork
$KTA
This paper introduces a novel method for image segmentation using vision-language models to generate and refine vector-based masks. Builders can leverage this technique to enhance AI-powered image editing or annotation tools.
Everybody check out this new Moondream Image Segmentation paper!
They make a VLM produce segmentation in two stages
1. Generate an SVG-like vector-graphics path of the mask
2. Iteratively refine it into a detailed pixel mask
Added to Paper Breakdown!
PocketPal AI lets users run Gemma language models 100% locally on their phones, enabling private, offline AI chat. Builders can leverage this tool to create privacy-focused AI apps or content around local LLMs.
Here is how to get it.
On your phone:
1. Download the PocketPal AI app from the App Store
2. Open the app and pick a Gemma model through Hugging Face
3. Download the model
4. Start chatting, everything runs 100% locally and private (no internet needed after setup)
On your
Optimal AI has released an update requiring users to switch their connector to use get_game_projections, signaling active development and new capabilities for builders leveraging their API. Staying updated ensures continued access and potential for enhanced product features.
Optimal AI is shipping -- make sure to update your connector to use get_game_projections
This tweet highlights running the powerful Gemma 4 26B model locally on macOS using llama.cpp, enabling builders to leverage advanced AI capabilities without cloud costs or dependencies.
Ejecutando OpenCode con Gemma 4 26B en macOS (a travรฉs de llama.cpp)
A blog post explains five ways to customize agent harnesses using LangChain middleware, offering practical patterns for building more flexible AI-powered products.
did a big series on using
@langchain
's middleware to customize your agent harness last week
icymi, here's a quick blog explaining 5 different patterns for harness engineering!
A concise workflow for developers to efficiently use AI in coding projects, breaking tasks into units and iterating with code and tests. This helps builders ship AI-powered products faster and with fewer errors.
AI Workflow Cheat Sheet for Developers
โข Start with intent โ โWhat am I building?โ
โข Break into units โ functions, endpoints, components
โข Prompt per unit (not whole app)
โข Generate code + tests together
โข Run locally โ catch real errors
โข Paste errors back โ get
Highlights a simple tech stack (bun, gemini-sdk, ink, shiki, zod) for quickly prototyping AI code agents, helping builders experiment with agent principles before tackling complex production systems.
If you're just writing a code agent demo, it's really pretty simpleโbun + gemini-sdk + ink + shiki + zod can whip up the most basic demo to get a feel for the principles. Of course, a truly mature and complete one is still incredibly complex, like Claude Code or Codex and those.
Jam is a collaborative web-based coding terminal that integrates with Claude Code, enabling real-time teamwork. Builders can leverage this tool to accelerate product development or offer collaborative coding experiences.
Introducing Jam, a multiplayer vibe coding terminal on the web.
Spin up a Jam, connect your Claude Code, and share a link to your friends to work together real-time!
Built with Jam and
@lkronhubbard
@bryanhpchiang
@leithnyang
A transparent breakdown of a builder's monthly spend on essential AI tools and APIs, offering a real-world benchmark for solo entrepreneurs planning their own product or automation stack.
my entire monthly build stack:
Claude Max: $100
ChatGPT Pro: $20
Gemini Pro: got it for $0
Vercel Hobby Plan: $0
X sub for my product acc: <$5
OpenAI + Anthropic API: $20โ30
Twitter API: $10โ20
A few other free tools (no openclaw)
total: ~$150โ175/month
OpenClaw introduces 'Dreaming', an experimental, opt-in system for AI memory consolidation, enabling more durable and explainable memory phases. Builders can leverage this to create smarter, more persistent AI agents or products.
Dreaming is OpenClawโs experimental, opt-in memory consolidation system, promoting meaningful short-term signals into durable memory through explainable light, deep, and REM-style phases.
docs.openclaw.ai/concepts/dream
โฆ
A tool that wraps bash calls to filter outputs and save tokens, highlighting the importance of harnesses and context engineering for AI workflows. Builders can use this to optimize AI pipelines and reduce costs.
cool harness hook that wraps every bash call and does tons of output filtering to save a big % of tokens
codex is either gonna love this or be confused beyond saving bc it loves bash for everything
me the broken record: harness & context engineering matter
๐ 21,095 viewsโค 130๐ 9๐ฌ 7๐ 1290.7% eng
Highlights key syntax differences for Chain-of-Thought prompts between Gemma 4 (vLLM) and Gemini API (OpenAI chat completions). Useful for builders integrating or switching between these LLMs to avoid prompt errors.
PSA: Gemma 4 uses a harmony-like syntax for vLLM with <|channel>thought\n, but the Gemini API (when using OpenAI chat completions) uses for the CoT
This tweet introduces 'warp decode,' likely a new AI tool or framework. Builders can explore it to speed up product development or integrate advanced AI features into their offerings.
Read about our work on warp decode:
๐ 24,823 viewsโค 78๐ 13๐ฌ 2๐ 770.4% eng
This tip shows how to use Hugging Face's hardware profile feature to quickly see if your Mac can run specific local AI models. Useful for builders evaluating hardware before investing in local AI workflows.
ๆณ็ฅ้ไฝ ๆไธๆๆณ่ฒท็ Mac ่ฝ่ทไป้บผๆฌๅฐๆจกๅๅ๏ผ
1. ๅป Hugging Face ่จปๅๅธณ่
2. ๅจๅธณ่่จญๅฎๅกซๅ ฅ็กฌ้ซ่ฆๆ ผ
3. ้ๆจฃๅญ๏ผๅฐๅๆจกๅ้ ้ขๆ๏ผๅฐฑๅฏไปฅ็ๅฐๆฏๅฆ่ทๅพๅ็้ ไผฐ
Highlights the gap between rapid prototyping with AI coding tools and the complexities of shipping robust, production-ready products. Reminds builders that while AI accelerates development, strong engineering is still crucial for real-world success.
Vibe coding is fun until production hits
.Anyone can build an app with tools like Cursor, v0, Replit Agent.
But shipping real products? Different game.More bugs. More security risks. More โwhy is this breaking?โ
AI helps but real engineering still wins.
Julius AI is being highlighted as a tool, suggesting potential utility for automating or enhancing business workflows. Builders can evaluate if it fits into their stack for faster product development or automation.