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Onyx just hit #1 on GitHub trending. Open source AI platform — self-hostable, works with every major LLM provider, and ships with: - Agentic RAG - Deep research mode - Custom agents - Web search - Code execution - Voice mode - Image generation - 50+ connectors out of...

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0xMarioNawfal

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75,491 просмотров • 2 месяцев назад •via X (Twitter)

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5 huge AI agents, MCP, and LLM updates today: 1. China just dropped an opensource Deep Research multi-agent framework with MCP support. It connects AI Agents with specialized tools for tasks like web search, crawling, and Python code execution. 100% opensource.
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5 huge AI agents, MCP, and LLM updates today: 1. China just dropped an opensource Deep Research multi-agent framework with MCP support. It connects AI Agents with specialized tools for tasks like web search, crawling, and Python code execution. 100% opensource.

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Notion 3.4 is a big one! New building blocks. New AI. A lot shipped recently. Here’s what's new: → Dashboard view → Image generation → Presentation mode → AI skills → Tabs block → H4 headers → Archive pages → Voice dictation → Salesforce + Box connectors → Private Slack channels with agents → n8n MCP integration → …and more.
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Notion 3.4 is a big one! New building blocks. New AI. A lot shipped recently. Here’s what's new: → Dashboard view → Image generation → Presentation mode → AI skills → Tabs block → H4 headers → Archive pages → Voice dictation → Salesforce + Box connectors → Private Slack channels with agents → n8n MCP integration → …and more.

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Someone built a free and better alternative to Claude that runs 100% locally. → works with any LLM (Claude, GPT, Gemini, vLLM) → beats it on deep research → has Cowork-like capabilities → 50+ connectors out of the box → deploy in literally one command 100% open source. MIT license. 28k stars.
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Someone built a free and better alternative to Claude that runs 100% locally. → works with any LLM (Claude, GPT, Gemini, vLLM) → beats it on deep research → has Cowork-like capabilities → 50+ connectors out of the box → deploy in literally one command 100% open source. MIT license. 28k stars.

How To Prompt

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Introducing Agent Mode: Agentic AI is now measured in the Arena. Agent Mode can do deep research, create reports, generate images, build websites, debug code, and more. It completes more complex tasks by using tools like web search, bash in a sandbox environment, image generation, file writing, and asking follow-up questions. Frontier models are waiting for you in Agent Mode to take on real-world tasks. GPT-5.5, Claude Opus 4.7, Gemini 3.1 Pro, and top open models. Test them yourself.
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Introducing Agent Mode: Agentic AI is now measured in the Arena. Agent Mode can do deep research, create reports, generate images, build websites, debug code, and more. It completes more complex tasks by using tools like web search, bash in a sandbox environment, image generation, file writing, and asking follow-up questions. Frontier models are waiting for you in Agent Mode to take on real-world tasks. GPT-5.5, Claude Opus 4.7, Gemini 3.1 Pro, and top open models. Test them yourself.

Arena.ai

252,798 просмотров • 11 дней назад

🚨GROK VOICE MODE GOES LIVE—AND IT CAN SING! The first public test of Grok’s Voice Mode is here, bringing a new era of AI interaction. It can sing, laugh, and respond in real-time, with features like internet access, custom instructions, voice transcripts, and audio sharing. Voice Mode works in the background, allowing seamless AI conversations. The first voice, "Sal," is now available—but more voices may follow. This is just the beginning. Source: TestingCatalog News 🗞
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Mario Nawfal

293,453 просмотров • 1 год назад

Excited to launch Browserable: an open-source and self-hostable browser automation library designed to let agents execute web tasks, track status and fetch results. GitHub: Watch Browserable search Amazon for a yoga mat atleast 6mm thick, non-slip, eco-friendly, and under $50.
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Excited to launch Browserable: an open-source and self-hostable browser automation library designed to let agents execute web tasks, track status and fetch results. GitHub: Watch Browserable search Amazon for a yoga mat atleast 6mm thick, non-slip, eco-friendly, and under $50.

Deepti Chopra

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Startups have raised $1B+ to crack Enterprise AI search. Now someone open-sourced it for FREE. The video below shows a self-hosted Slack assistant that answers your questions by searching across all your company's tools in a single query. It's built on top of Airweave, an open-source context retrieval layer that makes all your tools searchable for Agents using semantic, keyword, and agentic search. Here's how the app works: - The app watches for questions in Slack. - It searches every connected tool at once using Airweave (Notion, GitHub, Jira, Linear, etc.) to find relevant context. - The Airweave engine ranks the results by relevance and returns references to the original docs. - An LLM generates the final response and sends it back to Slack with citations. The entire stack is self-hostable via Docker. Find the project in the replies!
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Startups have raised $1B+ to crack Enterprise AI search. Now someone open-sourced it for FREE. The video below shows a self-hosted Slack assistant that answers your questions by searching across all your company's tools in a single query. It's built on top of Airweave, an open-source context retrieval layer that makes all your tools searchable for Agents using semantic, keyword, and agentic search. Here's how the app works: - The app watches for questions in Slack. - It searches every connected tool at once using Airweave (Notion, GitHub, Jira, Linear, etc.) to find relevant context. - The Airweave engine ranks the results by relevance and returns references to the original docs. - An LLM generates the final response and sends it back to Slack with citations. The entire stack is self-hostable via Docker. Find the project in the replies!

Avi Chawla

11,227 просмотров • 2 месяцев назад

Introducing Qwen 3 + Deep Research! We built a deep research agent with Qwen 3 and it performed better than most open source models that we've tried. the code is completely open source and free! built with 's Langgraph Together AI and uses Perplexity Tavily for search here's the code link:
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Introducing Qwen 3 + Deep Research! We built a deep research agent with Qwen 3 and it performed better than most open source models that we've tried. the code is completely open source and free! built with 's Langgraph Together AI and uses Perplexity Tavily for search here's the code link:

Soham

34,566 просмотров • 1 год назад

You can now connect GitHub repos to deep research in ChatGPT. 🐙 Ask a question and the deep research agent will read and search the repo’s source code and PRs, returning a detailed report with citations. Hit deep research → GitHub to get started.
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You can now connect GitHub repos to deep research in ChatGPT. 🐙 Ask a question and the deep research agent will read and search the repo’s source code and PRs, returning a detailed report with citations. Hit deep research → GitHub to get started.

OpenAI Developers

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Today, we’re excited to announce the general availability of the Contextual AI Platform. This is the first enterprise platform designed for building specialized RAG agents to support expert knowledge work. What is a specialized RAG agent? First, a general-purpose AI agent is one designed to automate simple daily tasks like scheduling a meeting or responding to an email. On the other hand, a specialized RAG agent is one designed to augment subject-matter experts performing complex domain-specific work. The Contextual AI Platform allows you to create these agents easily and achieve SOTA accuracy right out of the box. Check out what the Contextual AI Platform can do.
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Today, we’re excited to announce the general availability of the Contextual AI Platform. This is the first enterprise platform designed for building specialized RAG agents to support expert knowledge work. What is a specialized RAG agent? First, a general-purpose AI agent is one designed to automate simple daily tasks like scheduling a meeting or responding to an email. On the other hand, a specialized RAG agent is one designed to augment subject-matter experts performing complex domain-specific work. The Contextual AI Platform allows you to create these agents easily and achieve SOTA accuracy right out of the box. Check out what the Contextual AI Platform can do.

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Thrilled to see Amazon Web Services making a major contribution to the open source AI community with the launch of the Strands Agents, an open source AI agents SDK! The core of Strands is the simple agentic loop that connects the model and tools together, like the two strands of DNA. This model-driven approach to agent building eliminates the need for complex agent orchestration by embracing the capabilities of state-of-the-art models to plan, chain thoughts, call tools, and reflect. Providing open source tools and interoperability with open source protocols is an important part of our strategy to enable an agentic future. Can't wait to see what you build with Strands!

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Santiago

73,062 просмотров • 7 месяцев назад

AI mode in Google Search is starting to roll out to all users in the US today : ) It's the search experience you know, reimagined for the AI era (including a new feature called "Deep Search")!
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AI mode in Google Search is starting to roll out to all users in the US today : ) It's the search experience you know, reimagined for the AI era (including a new feature called "Deep Search")!

Logan Kilpatrick

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Open Interpreter is amazing! It’s an open-source version of OpenAI’s Code Interpreter by killian. Best implementation I’ve seen yet - it just works. Tools like these give us a peek at what AI-powered personal computing will look like. GitHub:
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Open Interpreter is amazing! It’s an open-source version of OpenAI’s Code Interpreter by killian. Best implementation I’ve seen yet - it just works. Tools like these give us a peek at what AI-powered personal computing will look like. GitHub:

Mckay Wrigley

362,511 просмотров • 2 лет назад

Jane Street pays quants $500K+ to build what Nous Research just open-sourced for free. Hermes Agent - open-source, self-hosted, deploys in 30 minutes on a $5/month VPS. Kelly Criterion sizing, Expected Value scoring, 3 forecast sources across 20 cities, self-calibrating, TG alerts. All out of the box. No code required. Algorithms like these generate $100,000–$150,000 per quarter Wallet proof: This trader turned $300 into $123K trading weather. Every trade verifiable on-chain, every PnL public. The "retail can't compete with institutions" narrative is dead. You just need a terminal for copy every trade of such agents, i'm use this one:
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Jane Street pays quants $500K+ to build what Nous Research just open-sourced for free. Hermes Agent - open-source, self-hosted, deploys in 30 minutes on a $5/month VPS. Kelly Criterion sizing, Expected Value scoring, 3 forecast sources across 20 cities, self-calibrating, TG alerts. All out of the box. No code required. Algorithms like these generate $100,000–$150,000 per quarter Wallet proof: This trader turned $300 into $123K trading weather. Every trade verifiable on-chain, every PnL public. The "retail can't compete with institutions" narrative is dead. You just need a terminal for copy every trade of such agents, i'm use this one:

cvxv666

276,617 просмотров • 1 месяц назад

we built pookie it's a helper that lives inside Slack it can search messages, generate memes, run code, and connect to your tools (Linear, GitHub, Stripe, even my bank!) fully open source and self hostable
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we built pookie it's a helper that lives inside Slack it can search messages, generate memes, run code, and connect to your tools (Linear, GitHub, Stripe, even my bank!) fully open source and self hostable

Aiden Bai

45,831 просмотров • 1 месяц назад

The real power of AI agents is collaboration. Box CTO Ben Kus joins LangChain CEO Harrison Chase to discuss what the future looks like when AI systems can work more like teammates than just assistants. Timestamps: 00:52 - Harrison's path to starting LangChain 01:54 - The different definitions of AI agents 03:16 - How agentic systems differ from traditional automation 06:20 - The evolution of AI agents 13:06 - The impact of deep research 17:22 - Deep agent capabilities and benefits 22:16 - How to recognize different modes 25:25 - The future of evaluation
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The real power of AI agents is collaboration. Box CTO Ben Kus joins LangChain CEO Harrison Chase to discuss what the future looks like when AI systems can work more like teammates than just assistants. Timestamps: 00:52 - Harrison's path to starting LangChain 01:54 - The different definitions of AI agents 03:16 - How agentic systems differ from traditional automation 06:20 - The evolution of AI agents 13:06 - The impact of deep research 17:22 - Deep agent capabilities and benefits 22:16 - How to recognize different modes 25:25 - The future of evaluation

Box

54,980 просмотров • 6 месяцев назад

Introducing Open Deep Research 🔭 An open source AI Agent that reasons large amounts of web data extracted with Open source. Powered by the AI SDK
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Introducing Open Deep Research 🔭 An open source AI Agent that reasons large amounts of web data extracted with Open source. Powered by the AI SDK

Nicolas Camara

215,028 просмотров • 1 год назад