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AI Coding Agents for Enterprise: IP Indemnity, Data Residency and 500-Seat Cost Compared

agentic ai, ai, AI (Artificial Intelligence), AI Agents, Artificial Intelligence, Editors Pick, Enterprise AI, For Devs, Harness, New Releases, Software engineering, Staff, Uncategorized

Our ‘Top AI Coding Agents and Development Platforms‘ guide covered what each AI coding agent does and where it fits. This piece is for a different reader. It is written for the procurement lead, the general counsel and the security reviewer. Those readers ask 4 questions before any rollout. Who pays if generated code triggers

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Nokia Open-Sources AnyJev: A Training-Free Layer That Turns Any Open LLM Into a Calibrated Decision Model

agentic ai, ai, AI (Artificial Intelligence), AI Infrastructure, AI Shorts, Applications, Artificial Intelligence, Context Engineering, Editors Pick, Harness, Language Model, Large Language Model, Machine Learning, New Releases, Open Source, Python, Software engineering, Staff, Tech News, Technology, Uncategorized

Nokia’s applied research team has open-sourced AnyJev, a Python library that turns an open LLM into a decision model. It needs no training. It targets a common production job: picking one answer from a fixed set instead of writing a sentence. Is it deployable? Yes, it installs from PyPI, ships under Apache-2.0, and has transformers

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OpenAI Releases GPT-6 Sol and Luna: 50% Cheaper API Pricing and Benchmarks

agentic ai, ai, AI (Artificial Intelligence), AI Shorts, Applications, Artificial Intelligence, Editors Pick, Harness, Language Model, Large Language Model, Machine Learning, New Releases, Staff, Tech News, Technology

OpenAI has released GPT-6 Sol and GPT-6 Luna, 2 new models in its GPT-6 family. They sit below GPT-6 Astra, which launched earlier this month. OpenAI trained both with methods similar to Astra’s. The aim is to bring Astra’s advances to faster, more affordable models. Deployable today? Yes. Both models are live in the OpenAI

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NVIDIA Introduces SoL-Pi: Auto-Research Loops That Cut Coding Agent Token Traffic by Up to 49%

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI Paper Summary, Artificial Intelligence, Editors Pick, Harness, New Releases, Open Source, Python, Staff, Tech News, Technology, Uncategorized

Coding agents now run for hours, not minutes. Every edit, test run and log read goes back into the model’s context. A team of researchers from NVIDIA, NTU and MIT have released SoL-Pi, a set of 4 efficiency mechanisms for the open-source Pi coding agent. An AI found these mechanisms by running auto-research loops at

NVIDIA Introduces SoL-Pi: Auto-Research Loops That Cut Coding Agent Token Traffic by Up to 49% Read More »

AWS Strands Agents Team Releases Strands Harness: An Open-Source Agent Harness With 28% Lower Token Cost at Comparable Accuracy

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI Shorts, Applications, Artificial Intelligence, Editors Pick, For Devs, Harness, Language Model, Large Language Model, New Releases, Open Source, Software engineering, Staff, Tech News, Technology, Uncategorized

Many developers find that an agent idea works inside Claude Code or Codex, then struggles once they rebuild it with their own loop. The Strands Agents team at AWS is targeting that gap with Strands harness, a fully assembled, general-purpose agent harness. It runs locally or deploys to a cloud provider, ships for Python and

AWS Strands Agents Team Releases Strands Harness: An Open-Source Agent Harness With 28% Lower Token Cost at Comparable Accuracy Read More »

OpenClaw Releases 2026.9.5 With Atomic Updates, Plugin Hot Reload, Conversation Sharing, and Expanded GPT Live

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Harness, New Releases, Open Source, Staff, Tech News, Technology

OpenClaw is an open-source, MIT-licensed personal AI agent that you run on your own machines. Its Gateway connects models, tools, and chat channels such as Telegram, Slack, and Discord. The project has now shipped version 2026.9.5, announced on X. The release bundles 4,179 pull requests and 64 direct commits, with credits to 502 contributing accounts.

OpenClaw Releases 2026.9.5 With Atomic Updates, Plugin Hot Reload, Conversation Sharing, and Expanded GPT Live Read More »

Best Open-Source Agent Harnesses for Local LLMs in 2026

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An agent is a model and a harness. The harness runs tools, holds state, manages permissions, and feeds context back to the model. With a local model, the harness matters more. Small context windows and weaker tool calling expose every design flaw. This guide ranks 11 open-source harnesses by how well they document local inference.

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Agent-net Open Sources Webagent: A Go Harness That Turns Any Website into a Guarded AI Agent

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI Shorts, Artificial Intelligence, Editors Pick, Harness, Open Source, Staff, Tech News, Technology

Agent-net, the team building an agent-to-agent marketplace where AI agents discover, trust, and pay each other, has released Webagent, an open source harness for standing up public-facing business agents. So, basically you give it your website, get an agent, and let it talk to other agents. Instead of writing orchestration code, a business fills in

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Agent Harness vs Agent Framework vs MCP: Which Layer Owns the Loop, State, Tools, Permissions, and Recovery

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Harness, framework, and MCP get used interchangeably in agent architecture discussions. They are not the same thing. They sit at different layers, own different responsibilities, and increasingly overlap at the edges. This article separates the 3 with 1 question. Which layer owns the execution loop, state, tool transport, permissions, and recovery? The 3 categories Agent

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Context Engineering Inside the Harness: 4 Mechanisms That Beat Context Overflow and Goal Loss on Long-Horizon Tasks

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI Infrastructure, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Harness, Language Model, Machine Learning, Staff, Technology

An agent, in its simplest form, is an LLM calling tools in a loop. That loop works for short jobs. Give it a task that runs for an hour and 200 tool calls, and it breaks in 2 predictable ways. The AWS Samples design guide for autonomous cloud coding agents names them directly: shallow agents

Context Engineering Inside the Harness: 4 Mechanisms That Beat Context Overflow and Goal Loss on Long-Horizon Tasks Read More »