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Arena says GPT-6.1 Terra (Max) ranks 8th on Agent Arena

Arena released measured results based on nearly 9,000 agent sessions: OpenAI's GPT-6.1 Terra (Max) ranks 8th in Agent Arena, with a net improvement of +10.6% and a median cost per task of $0.62. This cost is lower than the $1.09 of 7th-place Gemini 4 Argon (High), the $0.89 of 6th-place GPT-6.1 Sol (Max), and the $5.16 of 5th-place GPT-6 Astra (Max). In the subcategory rankings, it places 3rd in Bash Reliability (+13.2%), 7th in Steerability (+13.3%), and 9th in Praise vs Complaint (+16.8%). There are currently no further developments.

View story:Arena says GPT-6.1 Terra (Max) ranks 8th in Agent Arena

Akamai launches beta versions of Akamai Inference and Agent Sandbox

On October 29, Akamai released beta versions of two products, Akamai Inference and Akamai Agent Sandbox, allowing users to run AI models on Akamai Cloud and securely execute code generated by AI agents. According to The Elec, Akamai Inference supports 12 open-weight models, including OpenAI's gpt-oss-120b, Google's Gemma 4, and Nvidia's Nemotron 3 Ultra, and provides an OpenAI-compatible API; Agent Sandbox is based on WebAssembly isolation technology and restricts code access to computing resources, network connections, and system functions. Analytics India Magazine separately reported that Agent Sandbox is released as an open-source component of the Spin framework, and that Akamai is also expanding its NVIDIA Blackwell Ultra GPU cluster, with each eight-GPU node equipped with 2.3 TB of HBM3e memory. Both services are currently in the beta stage.

View story:Akamai Launches Beta Versions of Akamai Inference and Agent Sandbox

ConnectWise launches RMM Agent

ConnectWise has released RMM Agent, a product that can check associated devices within service tickets, test possible causes, and stage remediation plans from a vetted catalog, with all device changes requiring explicit technician approval. The simultaneously launched Voice, Teams, and Email Agents are used to collect customer information before technical work begins, and all four products are now generally available. Partner RealBytes reports that across more than 500 live tickets, 91% received useful diagnostics, typically taking about one minute, with first response time shortened from one hour to five minutes.

View story:ConnectWise launches RMM Agent

Emro wins GS Caltex procurement automation AI Agent development contract

Emro has signed a contract with GS Caltex to develop a procurement automation AI Agent for the latter. According to The Elec, the agent is used to handle approximately 2,700 small-value material procurement transactions per year at GS Caltex, and can analyze procurement requests and complete the entire process from inquiry, quote evaluation, to supplier selection and purchase order issuance, while cases requiring additional review are forwarded to procurement personnel for manual handling. The project is based on Emro's self-developed AI Studio platform and is integrated with GS Caltex's existing procurement system, with plans to expand to other procurement operations beyond small-value procurement in the future.

View story:Emro wins GS Caltex contract to develop procurement automation AI Agent

James Ward proposes that MCP servers should guide the Agent's next action

On October 29, 2026, James Ward, Principal Developer Advocate at AWS, proposed that MCP servers should not merely be APIs that "fetch data," but should attach guidance when returning data, telling the agent what it has just done and what it can do next. He also noted that MCP has no trace ID by default; AWS's approach is to add a session ID parameter to tools, having the agent pass it in on every call, thereby stringing individual calls into a complete chain. The same report mentions that AWS opened MCP Server to everyone in May this year and added Lambda diagnostics in September. Currently, this view has been reported by The New Stack, with no cross-verification from other sources or subsequent developments yet.

View story:James Ward proposes that MCP servers should guide the Agent's next actions

Dowson Tong described WorkBuddy as a personal Agent for the office track

On October 29, 2026, Caixin reported that Dowson Tong, Senior Executive Vice President of Tencent Group, described WorkBuddy as "a personal Agent for the office track," and said Tencent is connecting multiple products for AI agents. The report noted that WorkBuddy was launched in March this year and competes in the same track as ByteDance's Doubao Work and Alibaba's Qwen Office; its token consumption has already surpassed that of Tencent's chatbot Yuanbao. WorkBuddy originated from Tencent Cloud's developer tools team and nearly got cut around 2022 when Tencent was cutting costs and improving efficiency. There are currently no follow-up developments on this matter.

View story:Dowson Tong described WorkBuddy as a personal Agent for the office track.

Arena.ai Publishes Per-Task Cost Comparison of Models on Agent Arena

Arena.ai published a per-task cost comparison of models on Agent Arena on October 30, 2026. Statistics show that OpenAI's GPT-6.1 Sol (Max) costs $1.91 per task, 85% lower than Claude Opus 5.5 (Max) at $12.51 and 87% lower than GPT-6 Astra (Max) at $14.93. Arena.ai noted that these two cost advantages come from different sources: relative to Astra, Sol's advantage mainly comes from a lower per-token price; relative to Opus, it mainly comes from consuming fewer tokens per task. Per-task cost is calculated by multiplying the number of input, output, and cache-read tokens by their respective unit prices, and Arena.ai identifies the reasons for the cost reduction by comparing prices and token usage.

Arena.ai publishes per-task cost comparison of models on Agent Arena

Arena.ai published a per-task cost comparison of models on Agent Arena on October 30, 2026. Statistics show that OpenAI's GPT-6.1 Sol (Max) costs $1.91 per task, 85% lower than Claude Opus 5.5 (Max) at $12.51 and 87% lower than GPT-6 Astra (Max) at $14.93. Arena.ai noted that these two cost advantages come from different sources: relative to Astra, Sol's advantage mainly comes from a lower per-token price; relative to Opus, it mainly comes from consuming fewer tokens per task. Per-task cost is calculated by multiplying the number of input, output, and cache-read tokens by their respective unit prices, and Arena.ai identifies the reasons for the cost reduction by comparing prices and token usage.

View story:Arena.ai Publishes Per-Task Cost Comparison of Models on Agent Arena

Herdr launches desktop app for terminals and coding agents

Herdr has launched a desktop app for terminals and coding agents that organizes work by space and summarizes each agent's Working, Blocked, Done, and Idle status in a sidebar. After the app window is closed, terminals continue running in the core, and spaces can also be placed on remote machines for execution via SSH. The app supports Linux, macOS (Apple Silicon), and Windows x64, includes three built-in layouts—Herdr, Terminals, and Herdr 98—and allows mod panels to be written in JavaScript. There are currently no reports of further developments.

Herdr offers a terminal and coding agent desktop app

Herdr has launched a desktop app for terminals and coding agents that organizes work by space and summarizes each agent's Working, Blocked, Done, and Idle status in a sidebar. After the app window is closed, terminals continue running in the core, and spaces can also be placed on remote machines for execution via SSH. The app supports Linux, macOS (Apple Silicon), and Windows x64, includes three built-in layouts—Herdr, Terminals, and Herdr 98—and allows mod panels to be written in JavaScript. There are currently no reports of further developments.

View story:Herdr launches desktop app for terminals and coding agents

Akamai Launches Beta Versions of Akamai Inference and Agent Sandbox

On October 29, Akamai released beta versions of two products, Akamai Inference and Akamai Agent Sandbox, allowing users to run AI models on Akamai Cloud and securely execute code generated by AI agents. According to The Elec, Akamai Inference supports 12 open-weight models, including OpenAI's gpt-oss-120b, Google's Gemma 4, and Nvidia's Nemotron 3 Ultra, and provides an OpenAI-compatible API; Agent Sandbox is based on WebAssembly isolation technology and restricts code access to computing resources, network connections, and system functions. Analytics India Magazine separately reported that Agent Sandbox is released as an open-source component of the Spin framework, and that Akamai is also expanding its NVIDIA Blackwell Ultra GPU cluster, with each eight-GPU node equipped with 2.3 TB of HBM3e memory. Both services are currently in the beta stage.

ConnectWise launches RMM Agent

ConnectWise has released RMM Agent, a product that can check associated devices within service tickets, test possible causes, and stage remediation plans from a vetted catalog, with all device changes requiring explicit technician approval. The simultaneously launched Voice, Teams, and Email Agents are used to collect customer information before technical work begins, and all four products are now generally available. Partner RealBytes reports that across more than 500 live tickets, 91% received useful diagnostics, typically taking about one minute, with first response time shortened from one hour to five minutes.

Emro wins GS Caltex contract to develop procurement automation AI Agent

Emro has signed a contract with GS Caltex to develop a procurement automation AI Agent for the latter. According to The Elec, the agent is used to handle approximately 2,700 small-value material procurement transactions per year at GS Caltex, and can analyze procurement requests and complete the entire process from inquiry, quote evaluation, to supplier selection and purchase order issuance, while cases requiring additional review are forwarded to procurement personnel for manual handling. The project is based on Emro's self-developed AI Studio platform and is integrated with GS Caltex's existing procurement system, with plans to expand to other procurement operations beyond small-value procurement in the future.

Google Opens Android Development Tools to Third-Party Coding Agents

At the Android Dev Summit, Google announced that Android Studio and the Android CLI are being opened to third-party coding agents. According to The New Stack, Bring Your Own Agent already supports more than 40 agents that follow the Agent Client Protocol, including Claude Agent, Codex, and Google's own Antigravity, and it has been made stable in Android Studio Rabbit 2. The new android preview command lets agents render Jetpack Compose previews in the terminal; Google says this completes UI tasks 77% faster and cuts token usage by up to three times, but it did not explain how this was measured. android device remote, meanwhile, gives agents access to physical devices in Google's labs. In a demo, Claude Code used LeakCanary to investigate a memory leak and then fixed and retested it on its own; Google says such investigations are nearly twice as fast and use up to 25% fewer tokens. Google also launched Android Bench 2.0 to evaluate how models and agents perform on complex Android tasks.

Google opens Android development tools to third-party coding agents

At the Android Dev Summit, Google announced that Android Studio and the Android CLI are being opened to third-party coding agents. According to The New Stack, Bring Your Own Agent already supports more than 40 agents that follow the Agent Client Protocol, including Claude Agent, Codex, and Google's own Antigravity, and it has been made stable in Android Studio Rabbit 2. The new android preview command lets agents render Jetpack Compose previews in the terminal; Google says this completes UI tasks 77% faster and cuts token usage by up to three times, but it did not explain how this was measured. android device remote, meanwhile, gives agents access to physical devices in Google's labs. In a demo, Claude Code used LeakCanary to investigate a memory leak and then fixed and retested it on its own; Google says such investigations are nearly twice as fast and use up to 25% fewer tokens. Google also launched Android Bench 2.0 to evaluate how models and agents perform on complex Android tasks.

View story:Google Opens Android Development Tools to Third-Party Coding Agents

James Ward proposes that MCP servers should guide the Agent's next actions

On October 29, 2026, James Ward, Principal Developer Advocate at AWS, proposed that MCP servers should not merely be APIs that "fetch data," but should attach guidance when returning data, telling the agent what it has just done and what it can do next. He also noted that MCP has no trace ID by default; AWS's approach is to add a session ID parameter to tools, having the agent pass it in on every call, thereby stringing individual calls into a complete chain. The same report mentions that AWS opened MCP Server to everyone in May this year and added Lambda diagnostics in September. Currently, this view has been reported by The New Stack, with no cross-verification from other sources or subsequent developments yet.

Microsoft opens Copilot agent harness public preview through Foundry

On October 30, 2026, Microsoft opened the public beta of the GitHub Copilot agent harness through the Foundry Agent Service in Microsoft Foundry. The harness provides built-in sandboxing, reusable skills, MCP integration, and sub-agent support; the same harness already supports Copilot Code, Copilot Studio, GitHub Copilot, CLI, and VS Code. When creating a prompt agent, this harness must be selected and cannot be changed afterward; CPU, memory, and idle duration are controlled by Microsoft, and bring-your-own-model is not supported. The service is free until December 1, 2026, after which it is billed at $0.0994 per vCPU-hour and $0.0118 per GiB-hour, with model inference and some tools billed separately.

Microsoft opens Copilot agent harness public preview through Foundry

On October 30, 2026, Microsoft opened the public beta of the GitHub Copilot agent harness through the Foundry Agent Service in Microsoft Foundry. The harness provides built-in sandboxing, reusable skills, MCP integration, and sub-agent support; the same harness already supports Copilot Code, Copilot Studio, GitHub Copilot, CLI, and VS Code. When creating a prompt agent, this harness must be selected and cannot be changed afterward; CPU, memory, and idle duration are controlled by Microsoft, and bring-your-own-model is not supported. The service is free until December 1, 2026, after which it is billed at $0.0994 per vCPU-hour and $0.0118 per GiB-hour, with model inference and some tools billed separately.

View story:Microsoft opens Copilot agent harness public preview through Foundry

Dowson Tong described WorkBuddy as a personal Agent for the office track.

On October 29, 2026, Caixin reported that Dowson Tong, Senior Executive Vice President of Tencent Group, described WorkBuddy as "a personal Agent for the office track," and said Tencent is connecting multiple products for AI agents. The report noted that WorkBuddy was launched in March this year and competes in the same track as ByteDance's Doubao Work and Alibaba's Qwen Office; its token consumption has already surpassed that of Tencent's chatbot Yuanbao. WorkBuddy originated from Tencent Cloud's developer tools team and nearly got cut around 2022 when Tencent was cutting costs and improving efficiency. There are currently no follow-up developments on this matter.

Replit launches Agent Habitat to provide enterprises with agent security governance

Replit launches Agent Habitat, allowing agents to access enterprise knowledge and systems within company-controlled boundaries. The product builds its security governance around four principles: least privilege, fault isolation, auditable production changes, and traceable delegated work. Its credential proxy retrieves credentials from the vault and injects them only after authorization on each request, and credentials do not enter the agent's context; enterprise connector management supports SAML SSO, SCIM, and role-based permissions. Replit also stated that the kernel vulnerability disclosed last week did not affect its existing isolation environment, and that it has focused on patching tools and deploying firewall protection.