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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 görüntüleme • 2 ay önce •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.
1:16

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.

Unwind AI

79,540 görüntüleme • 1 yıl önce

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.

Notion

230,543 görüntüleme • 2 ay önce

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

39,043 görüntüleme • 1 ay önce

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 görüntüleme • 10 gün önce

🚨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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🚨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 🗞

Mario Nawfal

293,453 görüntüleme • 1 yıl önce

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

77,005 görüntüleme • 1 yıl önce

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!
0:26

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 görüntüleme • 2 ay önce

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 görüntüleme • 1 yıl önce

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

1,505,555 görüntüleme • 1 yıl önce

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.
2:11

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.

Contextual AI

878,866 görüntüleme • 1 yıl önce

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!
1:33

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!

Swami Sivasubramanian

32,185 görüntüleme • 1 yıl önce

Nothing beats open-source! We now have a fully open-source coding agent that can compete with any proprietary solution out there: • 500+ available models • It doesn't train on your code • It doesn't charge a penny for tokens • It's open. You can change if you want. Kilo Code is the #1 app on OpenRouter right now, and the community is releasing new features on GitHub at rocket speed (about 20 releases in the last 30 days). I installed it in Visual Studio Code, but you can install it in pretty much any IDE. I need to spend more time with it, but here is a very interesting design choice: Most coding agents support two modes: an "agentic" mode for writing code and an "ask" mode for talking to the model without making any changes. Kilo Code supports 5 different modes: 1. Architect mode - Research, design, and planning 2. Debug mode - Problem solving and troubleshooting 3. Code mode - To write code. 4. Ask mode - To talk to the model. 5. Orchestrator mode - Combine every agent to solve problems. On paper, I really like this. I'll need more time to try out the specialized agents and see whether niching becomes an advantage. Here is the link to the website: Thanks to the Kilo for partnering with me on this post.
6:17

Nothing beats open-source! We now have a fully open-source coding agent that can compete with any proprietary solution out there: • 500+ available models • It doesn't train on your code • It doesn't charge a penny for tokens • It's open. You can change if you want. Kilo Code is the #1 app on OpenRouter right now, and the community is releasing new features on GitHub at rocket speed (about 20 releases in the last 30 days). I installed it in Visual Studio Code, but you can install it in pretty much any IDE. I need to spend more time with it, but here is a very interesting design choice: Most coding agents support two modes: an "agentic" mode for writing code and an "ask" mode for talking to the model without making any changes. Kilo Code supports 5 different modes: 1. Architect mode - Research, design, and planning 2. Debug mode - Problem solving and troubleshooting 3. Code mode - To write code. 4. Ask mode - To talk to the model. 5. Orchestrator mode - Combine every agent to solve problems. On paper, I really like this. I'll need more time to try out the specialized agents and see whether niching becomes an advantage. Here is the link to the website: Thanks to the Kilo for partnering with me on this post.

Santiago

73,062 görüntüleme • 7 ay önce

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

276,564 görüntüleme • 1 yıl önce

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:
5:00

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 görüntüleme • 2 yıl önce

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:
0:32

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

275,084 görüntüleme • 1 ay önce

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
31:11

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 görüntüleme • 6 ay önce

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
1:05

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 görüntüleme • 1 ay önce

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
0:28

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 görüntüleme • 1 yıl önce