agentic ai

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Scaling intelligent automation without breaking live workflows

Scaling intelligent automation without disruption demands a focus on architectural elasticity, not just deploying more bots. At the Intelligent Automation Conference, industry leaders gathered to dissect why many automation initiatives stall after pilot phases. Speaking alongside representatives from NatWest Group, Air Liquide, and AXA XL, Promise Akwaowo, Process Automation Analyst at Royal Mail, grounded the […]

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From Data to Decision-Making – How AI is Transforming Safety Programs

The approach to industrial risk management is experiencing a fundamental shift. Organizations are moving away from relying on historical incident logs for predicting future hazards. Modern facilities now integrate advanced computational models that analyze real-time operational inputs. This transition allows safety professionals to anticipate potential accidents before occurrences happen. Artificial intelligence provides necessary processing power,

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Liquid AI Releases LocalCowork Powered By LFM2-24B-A2B to Execute Privacy-First Agent Workflows Locally Via Model Context Protocol (MCP)

Liquid AI has released LFM2-24B-A2B, a model optimized for local, low-latency tool dispatch, alongside LocalCowork, an open-source desktop agent application available in their Liquid4All GitHub Cookbook. The release provides a deployable architecture for running enterprise workflows entirely on-device, eliminating API calls and data egress for privacy-sensitive environments. Architecture and Serving Configuration To achieve low-latency execution

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Google AI Releases a CLI Tool (gws) for Workspace APIs: Providing a Unified Interface for Humans and AI Agents

Integrating Google Workspace APIs—such as Drive, Gmail, Calendar, and Sheets—into applications and data pipelines typically requires writing boilerplate code to handle REST endpoints, pagination, and OAuth 2.0 flows. Google AI team just released a CLI Tool (gws) for Google Workspace. The open-source googleworkspace/cli (invoked via the gws command) provides a unified, dynamic command-line interface to

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OpenAI Releases Symphony: An Open Source Agentic Framework for Orchestrating Autonomous AI Agents through Structured, Scalable Implementation Runs

OpenAI has released Symphony, an open-source framework designed to manage autonomous AI coding agents through structured ‘implementation runs.’ The project provides a system for automating software development tasks by connecting issue trackers to LLM-based agents. System Architecture: Elixir and the BEAM Symphony is built using Elixir and the Erlang/BEAM runtime. The choice of stack focuses

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How to Design an Advanced Tree-of-Thoughts Multi-Branch Reasoning Agent with Beam Search, Heuristic Scoring, and Depth-Limited Pruning

In this tutorial, we build an advanced Tree-of-Thoughts (ToT) multi-branch reasoning agent from scratch. Instead of relying on linear chain-of-thought reasoning, we design a system that generates multiple reasoning branches, scores each branch using a heuristic evaluation function, prunes weak candidates, and continues expanding only the strongest paths. We combine an instruction-tuned transformer model with

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How to modernize your data estate for AI success

402.74 million terabytes of data are generated every day. That’s a staggering number. As more organizations gravitate toward cloud-native, open-source-friendly architectures integrated with an ecosystem, the demand for explainability from AI models trained on this data mounts. So does pressure to show ROI from AI investments. Data is the source […] The post How to

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How to Build an EverMem-Style Persistent AI Agent OS with Hierarchical Memory, FAISS Vector Retrieval, SQLite Storage, and Automated Memory Consolidation

In this tutorial, we build an EverMem-style persistent agent OS. We combine short-term conversational context (STM) with long-term vector memory using FAISS so the agent can recall relevant past information before generating each response. Alongside semantic memory, we also store structured records in SQLite to persist metadata like timestamps, importance scores, and memory signals (preference,

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LangWatch Open Sources the Missing Evaluation Layer for AI Agents to Enable End-to-End Tracing, Simulation, and Systematic Testing

As AI development shifts from simple chat interfaces to complex, multi-step autonomous agents, the industry has encountered a significant bottleneck: non-determinism. Unlike traditional software where code follows a predictable path, agents built on LLMs introduce a high degree of variance. LangWatch is an open-source platform designed to address this by providing a standardized layer for

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