AI Agents & Automation
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Kore.ai Artemis ships a compiled ‘Agent Blueprint Language’ for governed enterprise multiagent systems
Kore.ai launched Artemis, a new-generation agent platform for building, governing, and optimizing enterprise AI agents. The headline feature is Agent Blueprint Language (ABL) — a compiled, declarative language that standardizes how agents, systems, and workflows are defined, validated, and governed. ## Why “compiled” matters Most agent platforms let you wire up workflows visually or in… Continue reading
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Foundation Protocol proposes a coordination layer for an ‘agentic society’ of many AI agents
Foundation Protocol is a proposed coordination layer for what its authors call an “agentic society” — the emerging world where many AI agents, built by different parties, need to discover, negotiate with, and coordinate with each other. ## Where it fits in the protocol stack 2026’s agent infrastructure has been assembling in layers: MCP (agents… Continue reading
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Macaron-A2UI is a model for generative UI in personal agents — interfaces the agent builds on the fly
Macaron-A2UI is a model for generative UI in personal agents: instead of returning text, the agent generates an actual interface — buttons, forms, charts — tailored to the task at hand. It builds on A2UI, the framework-agnostic generative-UI protocol that lets agents render components across web, mobile, and desktop. ## The generative-UI shift 2026 has… Continue reading
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SkillOpt proposes an executive strategy for agents that decide which skills to evolve and keep
SkillOpt, from Microsoft Research, is the top-upvoted agent paper on Hugging Face today. It tackles a layer above individual skills: the executive strategy for a self-evolving agent — deciding which skills to create, refine, keep, or discard as the agent accumulates experience. ## The self-evolving-skills space A growing body of work frames the same closed… Continue reading
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ECC is an agent-harness performance optimizer with a built-in security scanner for MCP servers and tool permissions
ECC is an agent-harness performance optimization system — skills, instincts, memory, security, and research-first development — that works across Claude Code, Codex, Cursor, OpenCode, Gemini, Zed, and GitHub Copilot. It exploded on GitHub trending with 2,000+ stars in a day. Built originally at the Claude Code Hackathon (Cerebral Valley x Anthropic). ## AgentShield The standout… Continue reading
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Yansu watches how you work and builds custom apps before you ask — proactive AI from Isoform
Yansu, from Isoform, is a proactive AI app builder. Instead of waiting for a prompt, it observes how you work — via desktop screenshots and messaging apps — learns your patterns, and builds custom applications, workflow improvements, bug fixes, or insight dashboards on its own. ## The proactive angle This is the same “proactivity” frontier… Continue reading
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Salesforce Agentforce Coworker puts a CRM agent in the search bar — Slack, Teams, and ChatGPT too
Salesforce announced Agentforce Coworker — an AI agent that lives in the search bar and, in its words, “doesn’t just find things, it works with you.” Ask it anything in plain language from Salesforce Global Search and it taps CRM data, workflows, customer history, opportunities, and cases, then takes action in real time. ## Where… Continue reading
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earendil-works/pi is an AI agent toolkit — coding CLI, unified LLM API, TUI libraries, and vLLM pods in one repo
pi is an open-source AI agent toolkit that bundles a lot into one repo: a coding agent CLI, a unified multi-provider LLM API (OpenAI, Anthropic, Google), TUI and web UI libraries, a Slack bot, and vLLM pods for self-hosting. ## The unified-API core At the center is a single API that abstracts across providers —… Continue reading
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Forsy turns your AI agent workflow data into a sellable asset — building the agent data economy
Forsy captures workflow data from the agents you already use — OpenClaw, Claude, Codex, Hermes — and turns it into structured, sellable data, with licensing and privacy built in. The pitch: real agent workflows are valuable training data, and you should be able to monetize yours. ## How it works Forsy tracks workflow data in… Continue reading
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GenEvolve makes image-generation agents self-improve by distilling their own successful attempts
GenEvolve, from MeiGen-AI, is a self-evolving framework for image generation agents. The core reframe: each generation attempt isn’t a one-shot prompt, it’s a tool-orchestrated trajectory — the agent gathers evidence, selects reference images, invokes generation skills, and composes them into a prompt-reference program. ## Tool-orchestrated visual experience distillation Instead of calling a diffusion model once,… Continue reading
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