we might need to coin a new term: Codex-native
Cowork-native
Cursor-native apps designed to be used inside of the in-app browser of your agent of choice. the agent can use it and you can use it too, full context is shared, and you can both see what the other is doing. huge
AGENTS
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Codex-native, Cowork-native, Cursor-native: Agent-integrated apps
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DevTalks Ep. 3: Autonomous Coding with Cline
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DevTalks Ep. 3 Autonomous coding with @cline
. Faster inference, smoother workflows, more control. April 30 | 11am PT | 2pm ET -
SambaNova Intel Partnership Advances Coding Agents Performance
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April, you were great to us! Welcome to another edition of our Lightning Digest TLDR: SambaNova + Intel DevTalks with Cline New research at ICLR 2026 Upcoming events https://
sambanova.ai/sambanova-ligh
tning-digest-premium-inference-for-coding-agents?&utm_source=x&utm_medium=organic&utm_content=newsletter-research
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SambaNova Intel Blueprint: Heterogeneous Inference for Agentic AI
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SambaNova + Intel A new blueprint for heterogeneous inference: GPUs for prefill, Intel Xeon CPUs for orchestration and actions, and RDUs for decode.
Built to run demanding agentic workloads efficiently at scale. -
Skill Retrieval Augmentation for Agentic AI Systems
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// Skill Retrieval Augmentation for Agentic AI // Great read for AI devs. (bookmark it) It's on finding efficient ways to incorporate skills for agents. The work introduces Skill Retrieval Augmentation (SRA) and SRA-Bench: 26,262 skills, 636 gold skills, 5,400
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Harvard Neuroscientist Launches Large Memory Model for Proactive AI Agents
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Gabriel Kreiman closed his Harvard lab to build this.
— Charly Wargnier (@DataChaz) 28 avril 2026
20 years of Neuroscience Research.
160+ publications.
This Large Memory Model (LMM) enables proactive memory and allows Agents to automatically surface vital context, without explicit prompting 👀pic.twitter.com/Qpu1PmV1MN https://t.co/YQ67SaKSs4Gabriel Kreiman closed his Harvard lab to build this. 20 years of Neuroscience Research. 160+ publications. This Large Memory Model (LMM) enables proactive memory and allows Agents to automatically surface vital context, without explicit prompting
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Agent Thoughts as Retrieval Signal for Context Preservation
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Agent thoughts as retrieval signal makes so much sense in hindsight, query alone always loses the conversation context.
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Retrieval Planning for Enterprise-Scale Frontier Models
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A retrieval planner that runs before the frontier model gets way more interesting at enterprise scale.
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Types of LLMs in AI Agents: A Comprehensive Overview
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Types of #LLMs in #AIAgents by @ingliguori #GenerativeAI #ArtificialIntelligence #MachineLearning #ML
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How Listen Builds System of AI Agents Subagents
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Watch the full episode: YouTube: https://
youtube.com/watch?v=YTTH-0
XXEBE
… Apple Podcasts: https://
podcasts.apple.com/us/podcast/how
-listen-builds-a-system-of-ai-agents-subagents/id1891551672?i=1000763262614
… Spotify: https://
open.spotify.com/episode/5t8U5I
ese5vS0p6wFtrnuN?si=2c718878ce3f463f&nd=1&dlsi=e18b37d7f06a4091
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