Tagged "tool-use"
18 articles tagged tool-use, 11 February 2026 to 25 July 2026. Newest first.
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The Interesting Part of an Agent Harness is What You Add on Top
A technical exploration of agent harness architecture patterns and best practices for building extensible, production-ready AI agent systems.
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AI Can Now Control Reaper DAW via Model Context Protocol
A new GitHub project enables AI models to control Reaper digital audio workstation through MCP integration, showcasing practical local LLM applications for creative software automation.
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My Local LLM Can Call Every Tool That Claude Can, Except It Runs on My Own Hardware
A deep dive into implementing comprehensive tool-calling capabilities in locally-hosted LLMs, achieving feature parity with commercial models while maintaining complete data sovereignty and offline operation.
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Building Tool-Using Agents With Local LLMs
A guide on transforming local language models into autonomous agents capable of tool use and function calling. This bridges the gap between basic inference and practical agentic applications running entirely on-device.
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Liquid AI Unveils Edge-Focused LFM2.5 Model for On-Device AI Agents
Liquid AI has introduced the LFM2.5 model specifically designed for edge deployment and local AI agents, offering optimized performance for resource-constrained environments.
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N8n-MCP: AI Assistants Can Now Build and Search n8n Workflows
A new Model Context Protocol implementation enables AI assistants to dynamically search and construct n8n automation workflows. This tool bridges LLM capabilities with workflow automation, enabling more sophisticated local AI agent applications.
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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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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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Claude Code Source Leaked: Community Extracts Multi-Agent Orchestration Framework
Claude Code's source code was exposed via npm source maps, revealing 500K+ lines of TypeScript. Community developers have already extracted the multi-agent orchestration architecture and released it as an open-source framework compatible with any LLM, democratising advanced agentic capabilities for local deployment.
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Meta Releases HyperAgents: Self-Improving AI
Meta has released HyperAgents, a research framework for building self-improving AI agents. The open-source release could inform local agent deployment patterns and autonomous system design.
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AI Slop or Quality Storytelling? – Dune Themed MCP Gateway Tutorial
A comprehensive video tutorial demonstrates building MCP gateway applications with local LLMs, showcasing practical patterns for integrating Model Context Protocol with on-device inference.
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Mistral AI Prepares Workflows Integration for Le Chat
Mistral AI expands its local deployment capabilities by integrating workflow automation into Le Chat. This development enables better local model orchestration and multi-step inference pipelines.
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Analysis Reveals Claude Code Sends 62,600 Characters of Tool Definitions Per Turn
A detailed technical analysis traces how Claude Code uses context window tokens, comparing it against five different CLI implementations. The findings highlight inefficiencies in current tool-passing approaches for local LLM deployment.
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Real-World Qwen 3.5 9B Agent Performance on M1 Pro Validates Edge Deployment
A developer successfully ran Qwen 3.5 9B as an autonomous agent on an M1 Pro MacBook with 16GB RAM, completing actual production tasks. Results demonstrate that capable local agents no longer require high-end hardware.
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Framework Choice Critical: llama.cpp and vLLM Outperform Ollama for Qwen 3.5 Testing
Community PSA reveals significant performance and correctness differences between local inference frameworks when running Qwen 3.5 models, with llama.cpp, transformers, vLLM, and SGLang producing correct results while Ollama shows issues with reasoning and tool use.
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Alibaba's Open-Source CoPaw AI Agent Now Compatible with MCP and ClawHub Skills
Alibaba released CoPaw, an open-source AI agent framework compatible with Model Context Protocol (MCP) and ClawHub skills, enabling modular and extensible local deployment of agentic systems. The framework follows OpenAI's OpenClaw-like architecture.
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The Complete Stack for Local Autonomous Agents: From GGML to Orchestration
A comprehensive guide to building autonomous agent systems entirely on local hardware, covering quantisation with GGML through deployment orchestration. This resource addresses the full pipeline needed for production local agent deployment.
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5 Practical Ways to Use Local LLMs with MCP Tools
A comprehensive guide exploring how to integrate Model Context Protocol (MCP) tools with local LLM deployments for enhanced functionality and automation.