Eigent AI

@Eigent_AI

The open source cowork desktop agent. Github: github.com/eigent-ai/eige…

eigent.ai

Joined September 2024

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Eigent AI
@Eigent_AI
Jun 16
@Zai_org GLM 5.2 is now live on Eigent from day 0! threw a real long-horizon task: research 30 companies across 6 sectors of the AI infrastructure stack, structure it into JSON, then build an interactive HTML report. same prompt, 5.1 vs 5.2. where 5.2 pulls ahead: → plans
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Eigent AI
@Eigent_AI
Sep 13
@OpenAI GPT 6 Astra is now on Eigent! ⚡️⚡️⚡️ Our design engineer @douglas_ym used Eigent with GPT 6 Astra to rebuild his old master’s project, TaSH, from just a few photos of the original prototype. Eigent recreated the full product in Blender, filled in details missing from
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Eigent AI
@Eigent_AI
Sep 2
Gemini 3.8 now on Eigent! ⚡️⚡️⚡️ We handed it a real finance analyst's job: value Equinix vs Digital Realty, Damodaran-style, straight from SEC filings. A team of agents researched, checked FX, and built the DCF, then handed back an Excel file you can actually poke at. Click a
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Logan Kilpatrick
@OfficialLoganK
Sep 2
Introducing Gemini 3.8 Flash, another jump in Gemini's agentic + coding capabilities, and our 3rd updated Flash model in only 6 weeks... This model has been a ton of fun to work with, excited to see what you all think!
Eigent AI
@Eigent_AI
Aug 31
Eigent v1.0.3 is live! Your agent workspace is now more durable, reviewable, and reusable! What’s new: 🔄 Durable Tasks That Can Resume Safely 🌿 Git-Backed Spaces with Task-Scoped Change Review 🖥️ Browser, Files, and a Real Terminal Inside the Session 📄 Generated Files That
Eigent v1.0.3 Release Notes
From eigent.ai
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Eigent AI
@Eigent_AI
Aug 18
Congrats to @radixark on Miles v0.1! We are using Miles to train RL agents for terminal coding and ML engineering across thousands of environments, with models like DeepSeek V4 Flash and GLM 5.2 and SGLang as our rollout engine. Efficient async RL makes scaling easy, and the team
RadixArk
@radixark
Aug 18
Today we're launching Miles v0.1, an open-source RL framework for LLMs and multimodal models. RL training is easy to start and hard to debug. Miles helps you ensure your run is correct, use hardware efficiently, and keep RL running at scale. Over the past 9 months, 72
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