Open-source Agentic Development Environment

San Francisco
Joined June 2025
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Emdash (YC W26) retweeted
Settings search is coming to Emdash. Use ⌘F to find what you need.
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Emdash (YC W26) retweeted
What are we building with K3 today?
Introducing Kimi K3: Open Frontier Intelligence 🔹 2.8 Trillion Parameters, 1 Million Context, Native Multimodal 🔹 Kimi Delta Attention enables up to 6.3x faster decoding in million-token contexts 🔹 Attention Residuals deliver ~25% higher training efficiency at <2% additional cost 🔹 Built for long-horizon agentic coding and self-evolving workflows Kimi K3 is now live on on Kimi.com, Kimi Work, Kimi Code, and the Kimi API. Open Weights by July 27, 2026. 🔗 API: platform.kimi.ai 🔗 Tech blog: kimi.com/blog/kimi-k3
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Use Grok 4.5 in Emdash ➡️Grok 4.5 is built for real-world engineering: navigating large codebases, working across multiple repositories, and completing long-running tasks with a variety of tools. ➡️It combines fast, token-efficient reasoning with strong coding performance. It’s served at 80 tokens per second and priced at $6 per million output tokens. ➡️Grok 4.5 ranks #2 on @ProximalHQ’s FrontierSWE leaderboard: behind only Claude Fable 5 and ahead of Opus 4.8, GLM-5.2, and GPT-5.5.
Grok 4.5 ranks #2 on FrontierSWE It is only outperformed by Claude Fable 5 and ranks higher than Opus 4.8, GPT-5.5 and GLM-5.2
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Use GLM-5.2 (@Zai_org) in Emdash ➡️ GLM-5.2 is built for long-horizon coding work: understanding large codebases, following repo conventions, and completing multi-step engineering tasks. ➡️ It’s open weight, MIT licensed, supports a 1M-token context window, and offers strong price-performance compared to closed frontier models.
Introducing GLM-5.2: Frontier Intelligence, Open Weights - Significant improvements in coding and agentic tasks - Strong long-horizon capabilities with a 1M context window - Two levels of reasoning effort: GLM-5.2 (max) pushes the limits, while GLM-5.2 (high) strikes a strong balance between performance and token efficiency - MIT-licensed open weights - Same API pricing as GLM-5.1 Tech Blog: z.ai/blog/glm-5.2 Weights: huggingface.co/zai-org/GLM-5… API: docs.z.ai/guides/llm/glm-5.2 Coding Plan: z.ai/subscribe Chat: chat.z.ai
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What's new in Emdash v1.1.38: - New chat UI powered by ACP - GPT-5.6 Sol, Muse Spark 11, and Grok 4.5 - Notion integration - Oh My Pi and Zero CLI support - Storage management - Drag terminals into task tabs - Voice mode support on macOS - Task archive shortcut: ⇧⌘E Plus lots of fixes and improvements.
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Emdash (YC W26) retweeted
New home: emdash.ai
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Emdash (YC W26) retweeted
We've got something for you
would love a new desktop agent super app - lets me switch harnesses and models and multiplex across them - makes it easy to move memory and context - can orchestrate between models ( use Fable as a planner but a lower cost model for daily driver ) - can retroactively look at usage and optimize for cost / better results
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Emdash (YC W26) retweeted
What a model week
Muse Spark 1.1 is now available in Emdash with OpenCode.
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Muse Spark 1.1 is now available in Emdash with OpenCode.
We’re excited to introduce Muse Spark 1.1, a significant upgrade from the first Muse Spark model we released earlier this year. Along with this release, we are launching a public preview of the new Meta Model API where developers can access Muse Spark 1.1. The model is also available now in "Thinking" mode in the Meta AI app and on meta.ai. Learn more: go.meta.me/ff8e2c
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Emdash (YC W26) retweeted
GPT-5.6 Sol is now live in Emdash. Compare it against Fable, GLM-5.2, Kimi-K2.7, or any other model.
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Emdash (YC W26) retweeted
Grok 4.5 is now in Emdash. Try it and compare it with Fable, Opus 4.8, GPT-5.5, GLM-5.2, or Kimi-K2.7 on real coding tasks.
We've partnered with SpaceXAI to train Grok 4.5. It’s our most powerful model yet and the first we've built for more than software engineering.
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What are we building today?
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Emdash (YC W26) retweeted
Finally using Kimi K2.7 Code in Emdash. Strong coding intelligence, 256k context, and concise reasoning make it especially interesting for long-running coding tasks. Curious to see how it holds up against /goal runs with Grok and Codex.
Meet Kimi-K2.7-Code 👀 Here’s what developers should know to fully unlock K2.7-Code potential:
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Emdash (YC W26) retweeted
Set your default agent and model for scheduled automation runs in the Emdash control center 🎛️ Coming to Emdash very soon.
Flexibility and independence from model providers matter a lot here. Automations and scheduled tasks are becoming more and more common for the kind of work you find yourself assigning to agents over and over. Once those are running at scale, defaulting to open models like GLM 5.2 or Kimi 2.7 makes a huge difference in cost.
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Emdash (YC W26) retweeted
Emdash crossed 1m github release asset downloads. Grateful. Just getting started!
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Qoder CLI support is coming to Emdash. Try it in the next release!
Stop prompting one agent. Start orchestrating a team. Qoder CLI Workflows are here — multi-agent execution that decomposes, parallelizes, and recovers. Try Deep Research: use DeepResearch workflow to research [your topic]
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Emdash just crossed 5,000 stars on GitHub. Excited about our recent progress and what’s to come!
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Emdash (YC W26) retweeted
ChatUI coming to Emdash. Escaping the terminal!
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New prod release! Emdash v1.1.35 is out. SSH port forwarding for remote previews, plus browser profiles, a global auto-approve default, and faster task and tab navigation. And smaller updates for agent integrations, automation controls, and reliability. And many, many fixes!
Super excited about this addition as more and more software development moves onto remote machines: SSH port forwarding is now live in Emdash! When a dev server starts on a remote machine, Emdash detects it, forwards the port locally, and gives you a clickable preview URL so you can review the app right inside the Emdash browser.
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Emdash (YC W26) retweeted
Super excited about this addition as more and more software development moves onto remote machines: SSH port forwarding is now live in Emdash! When a dev server starts on a remote machine, Emdash detects it, forwards the port locally, and gives you a clickable preview URL so you can review the app right inside the Emdash browser.
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