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Or Hiltch

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AI Vampire🧛🏼 @ Stealth. Prev: Co-Founder, CTO @ Skyline AI (acquired by $JLL), StreamRail (acquired by $U), Lecturer @TelAvivUni

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Agentic loops are stubborn, which is why agents are effective. However, in hardened enterprise environments, things start to break. How do they break, and how can you steer the agent's pivoting behavior the right way? Some findings from our research, Fable/Mythos included! 👾

Agentic loops are stubborn, which is why agents are effective. However, in hardened enterprise environments, things start to break. How do they break, and how can you steer the agent's pivoting behavior the right way? Some findings from our research, Fable/Mythos included! 👾

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Today we are launching Openwork is now Accomplish, an open-source (MIT-licensed) computer-use agent that’s fast, cheap, and more secure. Openwork is now Accomplish is the result of a short two-day hackathon our team decided to hack, which brings together some of our favorite open source AI modules into one powerful agent, to allow you to: 1. Bring your own model/API key (any provider and model supported by OpenCode is supported by Openwork) 2. ~4x faster than Claude for Chrome/Cowork, and much more token-efficient, powered by dev-browser by Sawyer Hood (legend) 3. More secure - contrary to Claude for Chrom/Cowork, does not leverage the main browser instance where you are logged into all services already. You login only to the services you need. This significantly reduces the risk of data loss in case of prompt injections, to which computer-use agents are highly exposed. 4. Free and 100% open-source! You can download the DMG (macOS only for now) or fork the github repo via the link in bio (Openwork is now Accomplish). Let us know what you think (or better, send a pull request)!

Today we are launching Openwork is now Accomplish, an open-source (MIT-licensed) computer-use agent that’s fast, cheap, and more secure. Openwork is now Accomplish is the result of a short two-day hackathon our team decided to hack, which brings together some of our favorite open source AI modules into one powerful agent, to allow you to: 1. Bring your own model/API key (any provider and model supported by OpenCode is supported by Openwork) 2. ~4x faster than Claude for Chrome/Cowork, and much more token-efficient, powered by dev-browser by Sawyer Hood (legend) 3. More secure - contrary to Claude for Chrom/Cowork, does not leverage the main browser instance where you are logged into all services already. You login only to the services you need. This significantly reduces the risk of data loss in case of prompt injections, to which computer-use agents are highly exposed. 4. Free and 100% open-source! You can download the DMG (macOS only for now) or fork the github repo via the link in bio (Openwork is now Accomplish). Let us know what you think (or better, send a pull request)!

1,001,197 次观看 • 5 个月前

Today we're launching Accomplish FREE - powered by our new hybrid model router. Since we launched Accomplish a few weeks ago, we've been blown away by what users are building with it. Hundreds of thousands of you downloaded the app and took it for a spin, but one thing kept coming up: not everyone wants to bring their own API key just to get started. So today we're fixing that with free, built-in models - made possible by a massive shift that's happened in just the past few weeks: the rise of fully hosted open-weight models - locally on your Windows machine with NVIDIA NVIDIA GeForce, on your Mac with Apple MLX, or on Accomplish cloud, for FREE. Our new hybrid routing algorithm dynamically routes between cloud models and models running locally on your machine - optimizing for local execution by automatically detecting your hardware capabilities and each sub-task's complexity: coding, visuals, simple classifications - every LLM call is routed to the best model. We also brought some of our favorite enterprise features to the free tier: scheduled task dispatch, Google Workspace integration (Google Drive Docs, Sheets, Slides) via the new Google Workspace CLI, native Slack MCP connectivity, and more. Accomplish FREE is available for macOS, Windows, and Linux. Download, send a task - and boom, it just works with ZERO configuration! Download link in bio / first comment >>

Today we're launching Accomplish FREE - powered by our new hybrid model router. Since we launched Accomplish a few weeks ago, we've been blown away by what users are building with it. Hundreds of thousands of you downloaded the app and took it for a spin, but one thing kept coming up: not everyone wants to bring their own API key just to get started. So today we're fixing that with free, built-in models - made possible by a massive shift that's happened in just the past few weeks: the rise of fully hosted open-weight models - locally on your Windows machine with NVIDIA NVIDIA GeForce, on your Mac with Apple MLX, or on Accomplish cloud, for FREE. Our new hybrid routing algorithm dynamically routes between cloud models and models running locally on your machine - optimizing for local execution by automatically detecting your hardware capabilities and each sub-task's complexity: coding, visuals, simple classifications - every LLM call is routed to the best model. We also brought some of our favorite enterprise features to the free tier: scheduled task dispatch, Google Workspace integration (Google Drive Docs, Sheets, Slides) via the new Google Workspace CLI, native Slack MCP connectivity, and more. Accomplish FREE is available for macOS, Windows, and Linux. Download, send a task - and boom, it just works with ZERO configuration! Download link in bio / first comment >>

102,985 次观看 • 2 个月前

Boy, have we got news for you! 🧑‍🍳 The Openwork is now Accomplish team is happy to announce: - Amazon Bedrock integration, contributed by our friends at Amazon Web Services (thanks guys!) - Native DeepSeek integration - Integration with and LiteLLM (YC W23)! Here's how what it looks like >>

Boy, have we got news for you! 🧑‍🍳 The Openwork is now Accomplish team is happy to announce: - Amazon Bedrock integration, contributed by our friends at Amazon Web Services (thanks guys!) - Native DeepSeek integration - Integration with and LiteLLM (YC W23)! Here's how what it looks like >>

41,146 次观看 • 4 个月前

Locked and loaded 💥 Openwork is now Accomplish v0.3.4 released today (download from link in bio): - Following the announcement from Kimi.ai a couple of hours ago, we are happy to introduce support for Kimi K2.5 with a new Moonshot AI integration! This is a global SOTA model for CUA BrowseComp (74.9%) - Log in with your OpenAI account (using OAuth) instead of providing an API key! This is both more seurce and it allows you to leverage existing OpenAI plan/subscription. - Support for Microsoft Azure AI Foundry thanks to our friends from Microsoft (cheers Ido Frizler!) - Support for LM Studio to run models locally (cheers to Yossi Elkrief LM Studiodevs!) . Try qwen/qwen3-vl-8b! - Support for MiniMax (official), the awesome open source models we love (thanks marcho) - You can now voice chat with openwork, courtesy of ! Thank you Max (Zihan) ZENG! Watch Openwork is now Accomplish one-shotting SOC 2 Compliance gap analysis (scanning your GitHub, Jira, Notion, websites and more):

Locked and loaded 💥 Openwork is now Accomplish v0.3.4 released today (download from link in bio): - Following the announcement from Kimi.ai a couple of hours ago, we are happy to introduce support for Kimi K2.5 with a new Moonshot AI integration! This is a global SOTA model for CUA BrowseComp (74.9%) - Log in with your OpenAI account (using OAuth) instead of providing an API key! This is both more seurce and it allows you to leverage existing OpenAI plan/subscription. - Support for Microsoft Azure AI Foundry thanks to our friends from Microsoft (cheers Ido Frizler!) - Support for LM Studio to run models locally (cheers to Yossi Elkrief LM Studiodevs!) . Try qwen/qwen3-vl-8b! - Support for MiniMax (official), the awesome open source models we love (thanks marcho) - You can now voice chat with openwork, courtesy of ! Thank you Max (Zihan) ZENG! Watch Openwork is now Accomplish one-shotting SOC 2 Compliance gap analysis (scanning your GitHub, Jira, Notion, websites and more):

33,764 次观看 • 4 个月前

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