Announcing new open source releases, exploring projects, sharing how we approach FOSS, and supporting communities around the world.
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Joined March 2017
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Google Open Source retweeted
💛Google Strikes Gold Again💛
Then share it for free with everyone!!!!
Google’s OSS-Fuzz has quietly found and helped fix over 13,000 vulnerabilities and 50,000 bugs across ~1,000 open-source projects.
It’s free continuous fuzzing (libFuzzer, AFL++, Honggfuzz + sanitizers) that runs at massive scale on critical C/C++, Rust, Go, Python, Java and other code.
Maintainers get private bug reports without running the infrastructure themselves.
If you work on widely used open source, this is one of the highest-leverage security tools available.
Check it out: github.com/google/oss-fuzz
Know any projects that should be on it?
Google Open Source retweeted
Google's Elephant-Goldfish Model is a free, open-source plugin for Claude Code, Codex and Antigravity. Google says thousands of its engineers use it. It's for anyone whose agent starts coding before the plan holds up.
What I'd copy into my own setup:
1. One agent with your full project context drafts the spec before any code gets written.
2. Fresh subagents that never saw the chat review it. They catch the assumptions you never said out loud.
3. You make the trade-offs and approve the design. Only then does the agent build.
4. Skip it for small, clear bug fixes. Use it when a feature needs real design calls.
5. Later, run the drift report to check your docs still match the code.
Repo: google/elephant-goldfish-model on GitHub. Worth the read.
nitter.cf/VaibhavSisinty/status/…
I found this on Reddit and this is crazyy.
This guy spends a full day writing a Markdown spec before he lets Claude write any code.
He has done it for over a year, on every project.
Let Claude code straight away and the first two hours feel like magic.
By day 3, you are stuck in a 150-message thread where fixing one bug breaks two more.
Writing the plan first flips that. Mistakes on paper cost nothing. Mistakes in code cost weeks.
His latest project proved it. Days revising the spec killed a bad sync design before a single line was written.
Google open-sourced the same idea, taken further. It is called the Elephant-Goldfish Model.
The Elephant remembers everything and writes the spec. It writes no code.
The Goldfish remember nothing. Fresh subagents read the spec cold and poke holes in it before any code exists.
That is the useful part. The plan gets attacked while it is still cheap to fix.
Google Open Source retweeted
What if your best design reviewer was an AI that never saw the conversation?
• Google's EGM: an "Elephant" AI drafts the spec, fresh "Goldfish" AIs hunt its gaps before coding
• Try it today in Claude Code, Codex or Antigravity
Kudos @GoogleOSS!
opensource.googleblog.com/20…
Google Open Source retweeted
Google's Project Suncatcher prototype satellite booted an on-orbit TPU, making Gemma 4 the first language model to run inference in space; Reddit CEO Steve Huffman warned that Google AI Mode drives zero traffic as Reddit loses over 1 million weekly search visits; Wall Street technology shares tumbled over AI capital expenditure concerns, with Intel plunging over 30% intraday. On GitHub, developers backed open-source memory and agent tooling: MemPalace topped memory benchmarks while Harvey automated end-to-end sales pipelines without API keys. Key developments:
1. Google Boots Orbital TPU on Suncatcher Satellite to Run Gemma 4
Google confirmed that its Project Suncatcher prototype satellite successfully initialized an onboard TPU in orbit. Ground control sent execution commands, ran model prompts, and received a generated poem back on Earth. Google DeepMind developer experience lead Philipp Schmid cited Sundar Pichai, confirming Gemma 4 as the first large language model executed in space.
Link:
nitter.cf/_philschmid/status/211…
2. Reddit CEO: Google AI Mode Drives No Traffic, Reddit Loses 1M+ Weekly Visits
Reddit CEO Steve Huffman disclosed that Reddit lost more than 1 million weekly visits from Google search in October. Despite strong financial results, Reddit shares dropped over 25%. Huffman warned that Google's AI Mode fails to deliver web traffic to publishers. Reddit is testing login walls outside the United States to block automated web scraping and continuing commercial licensing talks with AI labs.
Link:
the-decoder.com/googles-ai-m…
3. AI ROI Fears Trigger Tech Stock Selloff, Intel Drops Over 30%
Investor anxiety over massive artificial intelligence infrastructure spending triggered a second consecutive day of steep losses across US technology equities. Intel shares fell more than 30% intraday. Analysts point to extended payback periods on heavy data center capital expenditures, prompting valuation compressions across semiconductor and cloud providers.
Link:
bbc.co.uk/news/articles/cvwy…
4. MemPalace/mempalace (+357 stars today, Python)
The MemPalace team released an open-source AI memory architecture designed for top benchmark performance. The system uses structured extraction and persistent state storage to give LLMs and autonomous agents fast cross-session recall, preventing context overflow and multi-turn state degradation.
Repo:
github.com/MemPalace/mempala…
5. ethanplusai/harvey (+248 stars today, Python)
An autonomous sales agent built to run on existing Claude Code or Codex subscriptions. The tool operates without standalone API keys, finding sales prospects, generating customized cold outreach, sending email sequences, triaging replies, and booking calendar meetings automatically.
Repo:
github.com/ethanplusai/harve…
Google Open Source retweeted
🎤 Announcing the keynote lineup for #OSSummit Japan + #AutoLinux + #EmbeddedLinux in Tokyo, December 7-9! Hear from Kaz Sato of Google, Vivek Bhan of Renesas, Yuichi Nakamura of Hitachi, Omar Mohsine of the United Nations, Sachiko Muto of OpenForum Europe, Linux Kernel Maintainer Greg Kroah-Hartman, & more!
Register by November 23 and save ¥30,000.
MEET THE KEYNOTES: bit.ly/4dX6fR6
REGISTER: bit.ly/4cbg90v
Google Open Source retweeted
Artemis is an open source Android automation agent from Google. You type a goal in plain words, and it taps, swipes and types on a real phone or emulator.
github.com/google/artemis
Google Open Source retweeted
If AI brings us the promise of the future, why are we still stuck in the past with chatbots in Markdown?
Most AI applications today still work like a terminal from decades ago: you type a prompt, the agent runs a tool, and it dumps a wall of text back at you. Modern agentic interfaces should not only use richer UI elements, they should also adapt to what the user needs instead of forcing everything through a static, one-size-fits-all screen.
That changes how we think about frontend development. Instead of designing hardcoded application screens upfront, we design a shared catalog of UI building blocks and let the agent assemble the interface on demand.
Google's open Agent to User Interface (A2UI) protocol was built for this. Your frontend keeps full control over styling and native components, while the agent decides what to display based on context across three primitives:
• Catalog: The menu of UI components (charts, gauges, tables, 3D views, buttons) shared between the backend agent and the frontend client.
• Surfaces: The live UI canvas that updates in real time as the agent streams structured JSON messages.
• Actions: Two-way events that turn a click on a table row, graph node, or button directly into the next turn of the conversation without typing a follow-up prompt.
In my latest article, I used A2UI and Genkit to give my diagnostic agent, AIDA, the modern glowup she deserves, with dynamic UI elements rendered on-demand and human in the loop tool approvals for the most critical operations.
Read the full article on danicat.dev:
danicat.dev/posts/designing-…
Companion repository:
github.com/danicat/go-aida
ALT Hero illustration of a Go Gopher engineer presenting a holographic A2UI diagnostic cockpit with HUD gauges, a 3D process graph, and human-in-the-loop approval controls
ALT AIDA diagnostic surface rendering a 3D wireframe process graph, circular HUD gauges for CPU load and memory, and a sortable top-processes DataMatrix
ALT AIDA human-in-the-loop tool interrupt card requesting explicit user approval before running du -sh /tmp
ALT AIDA cockpit after approving the tool interrupt, rendering disk usage and DNS resolver HUD gauges with interactive follow-up buttons
Google Open Source retweeted
What 467 Conformant A2A Agent Cards Are Actually Offering
467 providers serve a conformant A2A agent card. Nearly half came from a docs platform default with one skill: read our docs. Most of the rest are agent-native companies selling by the call.
apievangelist.com/2026/10/26…
Google Open Source retweeted
No more frameworks on top of languages? Use AI to generate whatever code an app needs to reach a goal?
In some cases, sure. But I like using certain frameworks that do smart things for me.
@GenkitFramework is definitely that for agentic @golang apps.
genkit.dev/blog/genkit-go-1-…
Google Open Source retweeted
Check out the full release notes and migration details:
github.com/genkit-ai/genkit-…
Google Open Source retweeted
Instead of going token by token, DiffusionGemma refines a 256-token block at once.
I tested it and Gemma 4 on 10 tasks:
• Did better on copy editing & upfront counts
• Missed on valid JSON & multi-step reasoning
• Slower on my Mac, much faster on a GPU
Google Open Source retweeted
I did Google Summer of Code 2026 with The Linux Foundation 🐧
The hardest part wasn't the code. It was finding an org that replies to newcomers.
Let's #connect if you're into:
🌱 Open Source
☀️ GSoC 2027
🤖 AI Agents & MCP
🛠️ Dev Tools
GSoC 2027 aspirant? Ask me anything 👇
Google Open Source retweeted
New on the @GoogleOSS blog: This Week in Open Source covers 35 years of Linux, the 2026 State of OSPOs in the age of AI, terminal A2A/MCP agent workflows, and local multimodal search:
goo.gle/twios-19 #OpenSource google.smh.re/5gtm
Google Open Source retweeted
Framework Highlight: LiteRT ⚡️
The Google Gemma Hardware Hackathon @ AGI House.
Great models need a framework that brings them to your device. Meet LiteRT, Google’s framework for high-performance on-device AI.
At the hackathon, explore how LiteRT can help you turn a Gemma-powered idea into a working local application:
• Run Gemma with LiteRT-LM across edge platforms: developers.google.com/edge/l…
• Ready-to-use models for high-performance on-device deployment: huggingface.co/litert-commun…
• Explore hardware acceleration on supported devices: developers.google.com/edge/l…
From offline assistants to intelligent edge devices—what will you build?
🎁Best Use of LiteRT: $15,000
Sponsored by Google AI Edge, this award is part of the event’s $45,000 cash prize pool, alongside partner hardware awards.
Join 100 selected builders, the @GoogleDeepMind Gemma team, and hardware partners for a full day of hands-on building. Every project must use a Gemma-based model and run entirely on-device.
October 24, 2026 · 10 AM–5 PM PT
AGI House · Hillsborough, CA
Apply to build: agihouse.org/events/the-goog…
#LiteRT #Gemma #GoogleAIEdge #OnDeviceAI #AGIHouse
Google Open Source retweeted
🤖 Building agentic apps? Check out Genkit.
@Google open source AI SDK for building full-stack agentic experiences
Test locally with the Developer UI, then deploy anywhere your code runs.
genkit.dev
#Golang #AI
Google Open Source retweeted
Welcome to the new Gemma documentation!
We've built a brand new home for developers to explore, experiment, and build.
What’s new?
🌐 Global model selector for customized code snippets
🤖 Better agent support (turn any page into Markdown!)
📊 Data-driven backend for a consistent experience
⚡️ On-device demos running directly in your browser!
Check it out: gemma.ai/
Google Open Source retweeted
☕ Slicing server bills with fullstack Dart → goo.gle/47qP8nb
Learn how replacing Node.js Cloud Run services with a single Dart function brought end-to-end type safety and major cost savings across the stack.
ALT Dash holds a latte topped with a geometric brown-and-white design; the warm coffee art contrasts with its playful, cheerful look.
Google Open Source retweeted
Google just launched gemma.ai — the new central home for Gemma open models 🚀
Features interactive visual architectures, fine-tuning recipes, and instant browser-native demos!
#Gemma #OpenSource #GoogleAI #MachineLearning
Google Open Source retweeted
Today, I attended a local Google Developer Group event where @G_Programming gave a talk about Open Source and AI. It has been very interesting and useful
