Agentic AI

Agentic AI Artificial Intelligence

Mistral OCR 4 Brings Citation-Ready Structured Output to RAG, Agentic, and Enterprise Search Pipelines
ByRicardo June 24, 2026

Today, Mistral AI launched OCR 4, its newest document-understanding mannequin. This new launch provides bounding containers, block classification, and inline confidence scores alongside extracted textual content. It helps 170 languages throughout 10 language teams and runs in a single container for totally self-hosted deployments. OCR 4 additionally serves as an ingestion element for enterprise search,…

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Agentic AI AI Shorts

Datalab Releases lift: A 9B Open-Weights Vision Model That Extracts Structured JSON From PDFs Using Schemas
ByRicardo June 23, 2026June 23, 2026

Datalab has launched lift, a 9B open-weights imaginative and prescient mannequin for structured extraction. You go it a JSON schema, and it returns a JSON object that matches. The mannequin reads PDFs and pictures straight, then decodes towards your schema. This is Datalab’s first mannequin constructed purely for extraction. The staff already ships open-source OCR…

Read More Datalab Releases lift: A 9B Open-Weights Vision Model That Extracts Structured JSON From PDFs Using Schemas
Agentic AI AI Infrastructure

Prime Intellect Releases prime-rl 0.6.0 to Train Trillion-Parameter MoE Models on Agentic RL Workloads
ByRicardo June 23, 2026

Prime Intellect has launched prime-rl version 0.6.0. The framework targets reinforcement studying on trillion-parameter Mixture-of-Experts (MoE) fashions. It focuses on heavy agentic workloads, like long-horizon software-engineering duties. The analysis workforce skilled GLM-5 on SWE duties at up to 131k sequence size. Step instances stayed underneath 5 minutes. The batch measurement was 256 rollouts. The run…

Read More Prime Intellect Releases prime-rl 0.6.0 to Train Trillion-Parameter MoE Models on Agentic RL Workloads
Agentic AI Editors Pick

xAI Launches /goal in Grok Build, Adding Long-Running Autonomous Execution With Built-In Verification for Multi-Step Coding Tasks
ByRicardo June 22, 2026June 22, 2026

xAI shipped a brand new mode called /goal inside Grok Build, its terminal coding agent. The characteristic targets long-running, autonomous activity execution. You hand the agent a bigger implementation activity, then step again. Most coding periods require back-and-forth execution and verification. You immediate, the agent acts, and also you confirm every step. /purpose modifications that…

Read More xAI Launches /goal in Grok Build, Adding Long-Running Autonomous Execution With Built-In Verification for Multi-Step Coding Tasks
Agentic AI AI Agents

Sakana AI Launches Sakana Fugu: An Orchestration Model That Routes Tasks Across a Swappable Pool of Frontier LLMs
ByRicardo June 22, 2026

Today, Sakana AI launched Sakana Fugu. It is a multi-agent orchestration system that behaves like one mannequin. You ship a request to a single endpoint. Fugu decides the way to deal with it internally. It solves a job straight when that’s sufficient. It additionally assembles and coordinates a crew of knowledgeable fashions when wanted. The…

Read More Sakana AI Launches Sakana Fugu: An Orchestration Model That Routes Tasks Across a Swappable Pool of Frontier LLMs
Agentic AI AI Agents

The 7 Types of Agent Memory: A Technical Guide for AI Engineers
ByRicardo June 22, 2026June 22, 2026

Large language fashions are stateless by default. Each API name begins contemporary. The mannequin forgets your final message as soon as the response returns. That is okay for a single query. It breaks the second you construct an agent. Agents plan, name instruments, and run throughout many steps. They want to recollect. Memory is the…

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Agentic AI Applications

Crawlee for Python: Build a Web Crawling Pipeline with Robots Handling, Link Graphs, and RAG Chunk Export
ByRicardo June 21, 2026June 21, 2026

In this tutorial, we construct a full Crawlee-for-Python workflow that covers atmosphere setup, native web site technology, static crawling, dynamic crawling, structured extraction, and downstream information processing. We start by configuring a appropriate Crawlee runtime with pinned Pydantic help, Playwright browser set up, persistent storage directories, and Colab-safe execution dealing with. We then generate a…

Read More Crawlee for Python: Build a Web Crawling Pipeline with Robots Handling, Link Graphs, and RAG Chunk Export
Agentic AI AI Shorts

Cisco AI Introduces FAPO: Pipeline-Aware Prompt Optimization With Step-Level Failure Attribution and Claude Code Orchestration
ByRicardo June 21, 2026June 21, 2026

Getting prompts proper remains to be the toughest a part of delivery dependable LLM functions. Small wording modifications can swing accuracy by 20 %. What works on just a few examples usually breaks at scale. When a multi-step pipeline returns a incorrect reply, discovering the failing step means inspecting intermediate outputs by hand. Cisco AI…

Read More Cisco AI Introduces FAPO: Pipeline-Aware Prompt Optimization With Step-Level Failure Attribution and Claude Code Orchestration
Agentic AI AI Agents

Nous Research Updates Hermes Agent With a Blank Slate Mode That Pins Toolsets via platform_toolsets.cli and disabled_toolsets
ByRicardo June 20, 2026June 20, 2026

Nous Research has added a Blank Slate setup mode to its open-source Hermes Agent. It inverts the standard onboarding. Instead of a absolutely loaded default, you begin with virtually nothing. Hermes Agent is the self-improving agent framework from Nous Research. It runs by yourself machine. The team announced the new mode on X. Blank Slate…

Read More Nous Research Updates Hermes Agent With a Blank Slate Mode That Pins Toolsets via platform_toolsets.cli and disabled_toolsets
Agentic AI AI Agents

Perplexity Launches Brain, a Self-Improving Memory System That Builds a Context Graph of an Agent’s Work and Learns Overnight
ByRicardo June 18, 2026

Most AI reminiscence remembers the person. It shops your preferences, your tastes, and your position. Perplexity is taking a completely different path. Today, Perplexity launched Brain, a self-improving reminiscence system for its agent product, Computer. Brain doesn’t deal with remembering you. It remembers what the agent did. That reframes what reminiscence in AI is for….

Read More Perplexity Launches Brain, a Self-Improving Memory System That Builds a Context Graph of an Agent’s Work and Learns Overnight

Agentic AI

Mistral OCR 4 Brings Citation-Ready Structured Output to RAG, Agentic, and Enterprise Search Pipelines

Datalab Releases lift: A 9B Open-Weights Vision Model That Extracts Structured JSON From PDFs Using Schemas

Prime Intellect Releases prime-rl 0.6.0 to Train Trillion-Parameter MoE Models on Agentic RL Workloads

xAI Launches /goal in Grok Build, Adding Long-Running Autonomous Execution With Built-In Verification for Multi-Step Coding Tasks

Sakana AI Launches Sakana Fugu: An Orchestration Model That Routes Tasks Across a Swappable Pool of Frontier LLMs

The 7 Types of Agent Memory: A Technical Guide for AI Engineers

Crawlee for Python: Build a Web Crawling Pipeline with Robots Handling, Link Graphs, and RAG Chunk Export

Cisco AI Introduces FAPO: Pipeline-Aware Prompt Optimization With Step-Level Failure Attribution and Claude Code Orchestration

Nous Research Updates Hermes Agent With a Blank Slate Mode That Pins Toolsets via platform_toolsets.cli and disabled_toolsets

Perplexity Launches Brain, a Self-Improving Memory System That Builds a Context Graph of an Agent’s Work and Learns Overnight

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