Tagged "agentic-ai"
29 articles tagged agentic-ai, 27 March 2026 to 16 October 2026. Newest first.
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Liquid AI Releases LFM2.5-24B-A2B: Optimized Model for Fast On-Device Agents
Liquid AI introduces LFM2.5-24B-A2B, a 24-billion-parameter model specifically designed for efficient on-device agent inference. The model targets the practical size/capability sweet spot for edge deployment with agentic reasoning capabilities.
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Saluki 27B: 2-bit Quantised Qwen Model Outperforms Original at Tool Calling
A new 2-bit quantised variant of Qwen3.8-27B demonstrates superior tool calling capabilities compared to the original model, showing that aggressive quantisation can preserve or improve specific task performance.
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TensorRT Edge-LLM Achieves 6.4x Faster Performance on Jetson AGX Thor
NVIDIA's TensorRT Edge-LLM completes the MLPerf Edge Agentic Benchmark 6.4x faster on Jetson AGX Thor, demonstrating significant performance improvements for edge AI inference on specialized hardware.
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Meta's Muse Glimmer Achieves Fast On-Device Agentic AI with ExecuTorch
Meta's PyTorch blog details how Muse Glimmer delivers efficient on-device agentic AI inference using ExecuTorch, enabling interactive agent loops with sub-second latency on consumer devices. This represents a major step toward practical edge deployment of complex AI workflows.
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Liquid AI Releases LFM2.5-2.6B: Powerful Agentic Model for Raspberry Pi and Edge Devices
Liquid AI's new LFM2.5-2.6B model brings agentic AI capabilities to resource-constrained devices like Raspberry Pi, featuring 128K context window and tool calling without requiring GPUs or cloud infrastructure.
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NVIDIA AI Releases Molt: A PyTorch-Native Agentic Reinforcement Learning Framework
NVIDIA introduces Molt, a new reinforcement learning framework designed for PyTorch environments, enabling more sophisticated agent development for local and distributed LLM deployments.
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Nubia Announces AI Agent Smartphone with On-Device AI Processing
Nubia has unveiled a smartphone designed specifically for running AI agents with full on-device processing, showcasing practical implementation of edge AI inference at scale.
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The Hitchhiker's Guide to Agentic AI
A comprehensive guide published on arXiv provides foundational knowledge and practical insights for building and deploying agentic AI systems. This resource is essential reading for developers scaling from simple LLM inference to complex agent orchestration.
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Self-Organizing Obsidian Vault Powered by Autonomous AI Agents
An open-source project demonstrates how local AI agents can autonomously organize and manage knowledge bases in Obsidian, showcasing practical applications of agentic AI for personal knowledge management without cloud dependencies.
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Why Tool Calling is More Important Than Model Size for Local LLMs
A critical perspective on local LLM deployment emphasizes that even the largest models are ineffective without proper tool-calling capabilities. Understanding function calling implementation becomes essential for practical local inference applications.
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Show HN: LLM Memory Without Context Bleed – 100% Precision vs. <10% Vector Search
A new memory system for LLM applications achieves 100% precision in context retrieval compared to vector search's <10%, enabling more reliable and efficient local deployment of agentic systems.
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Microsoft and Nvidia to Unveil First Windows PCs with Nvidia CPUs and AI Capabilities
Microsoft and Nvidia are collaborating to introduce Windows PCs powered by Nvidia CPUs with integrated AI capabilities for local inference. This partnership signals major hardware vendors' commitment to on-device AI performance.
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Meta Plans Agentic AI on Smartphones and Wearables by 2026
Meta Reality Labs outlines roadmap for deploying agentic AI systems directly on smartphones and wearables. The initiative aims to bring autonomous AI agents to consumer devices within the next two years.
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Show HN: A Local-First Agentic Knowledge Manager
Kept is a new open-source project providing local-first infrastructure for managing agentic AI workflows with persistent memory and knowledge organization capabilities.
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Agentic AI Community Focus: Building Local Agents in 2026
The emerging agentic AI community shares resources and frameworks for building autonomous agents with local LLM backends. Focus areas include memory systems, tool integration, and edge deployment of multi-step reasoning tasks.
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Ruflo: Multi-Agent AI Orchestration for Claude Code
Ruflo is a new framework for orchestrating multiple AI agents using Claude, enabling complex multi-agent workflows for local and self-hosted deployments. This tool simplifies coordination between AI agents for coding tasks and agentic reasoning.
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Eval Skills for AI Agents
A new evaluation framework for systematically testing and benchmarking AI agent capabilities, enabling local developers to assess agent performance before deployment. This tool addresses the critical need for robust evaluation in agentic systems.
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SiGit Code: Local-First Coding Agent
A new local-first coding agent tool that enables AI-assisted development entirely on-device, providing developers with autonomous code generation without cloud dependencies.
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Rust Open-Source Headless Browser for AI Agents and Web Scraping
A new Rust-based headless browser tool designed specifically for AI agents and web scraping tasks, enabling more efficient local inference workflows for agent-based applications.
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MiniMax M2.7 Is Now Open Source
MiniMax releases M2.7, an agentic model now available as open source, expanding options for local deployment of capable reasoning models without cloud dependencies.
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Google's Gemma 4 Brings Free Agentic AI to Your Phone With Zero Data Leaving the Device
Google releases Gemma 4, enabling agentic AI capabilities directly on mobile devices while maintaining complete privacy through on-device processing. This advancement demonstrates practical agentic workflows running entirely locally without cloud dependencies.
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Gemma 4 Template Improvements Enhance Tool Use and Dialog Compliance
An update to Gemma 4's Jinja templates improves tool calling and dialog compliance, requiring users to update their local model configurations for better results.
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Run Qwen3.5 on an Old Laptop: A Lightweight Local Agentic AI Setup Guide
KDnuggets publishes a practical guide demonstrating how to run Qwen3.5 with agentic AI capabilities on resource-constrained hardware, making advanced local inference accessible to resource-limited environments.
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Gemma 4 26B Achieves Impressive Local Performance With Proper Configuration
Users report Gemma 4 26B delivering 80-110 tokens/second on RTX 3090 with excellent tool-calling reliability when properly configured. The model demonstrates significant improvements over previous versions in both speed and functionality for local deployment.
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YC-Bench: GLM-5 Matches Claude Opus 4.6 at 11× Lower Cost
A new benchmark puts 12 LLMs through a year-long simulated startup experience, revealing that GLM-5 delivers comparable performance to Claude Opus 4.6 at significantly lower inference cost, enabling more efficient local deployment.
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NVIDIA Accelerates Gemma 4 for Local Agentic AI on RTX GPUs
NVIDIA provides day-one optimizations for Google's Gemma 4 models across its RTX GPU lineup, enabling accelerated local inference for agentic AI workflows on consumer and enterprise graphics cards.
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Claw64 – Full Agentic Loop in <4KB on Commodore 64
A remarkable demonstration of running a complete agentic AI loop in under 4KB as a TSR (Terminate and Stay Resident) program on a Commodore 64, inspired by OpenClaw architecture. This extreme constraint optimization showcases innovative techniques for deploying reasoning capabilities on severely memory-limited hardware.
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Ollama Launches Pi: The Minimal Coding Agent That Powers OpenClaw Is Now Yours to Customize
Ollama releases Pi, a lightweight coding agent framework designed for customization and local deployment, extending the popular model management platform into agentic AI workflows.
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See What Your AI Agents Are Doing: Multi-Agent Observability Tool
A new open-source observability tool helps developers monitor and debug multi-agent systems running locally, providing visibility into agent interactions and decision-making processes.