Agents

AIAfter a restart, OpenClaw can return unfinished conversations with their saved history, progress, and tool results. The agent checks earlier actions before continuing interrupted helpers, while chats the user stopped remain stopped.

AIAmp users can now share a runner with their workspace by starting it with --share, letting everyone spawn threads on that machine from ampcode.com. Shared runners appear under Shared Runners in the picker, and --amp-env gives them workspace and project Secrets & Env Vars but never personal ones. Amp warns that collaborators run code as the owner with their files and credentials, so sharing should be limited to trusted people, and workspace admins can disable runner sharing in Member Settings.

AIGoogle Cloud API Gateway now acts as a remote MCP server in Public Preview, making REST operations in an annotated OpenAPI 3.0.x or 3.1.x spec available as agent-ready MCP tools. Existing JWT or API-key authentication, quotas, and logging apply to MCP calls, so teams do not need a separate MCP server. Current limits include no support for OpenAPI 2.0, a maximum of 1,000 tools per gateway, and no MCP and model routing in the same API config.

Why it matters: The post shows how an existing OpenAPI spec becomes agent-callable MCP tools, with the same auth and quota policies applied, which helps teams avoid building a separate MCP server.

AICursor has made Rollouts and Security Reviewer available today on Teams and Enterprise plans. The company is including Rollouts usage credits for the next 10 days so customers can try it on real changes. More details are available in Cursor's blog post.

AICursor's Eric Zakariasson shared a prompt for improving an LLM agent harness to lower token cost per completed task without losing quality. The prompt covers the system prompt, tool definitions, cache layout, tool results, compaction, and subagents, and reports that one team's round of these changes cut overall token cost about 7%.

Why it matters: The prompt gives a concrete checklist for cutting agent token cost per completed task, with tested figures on cache layout, tool offloading, and compaction.

AIAnthropic published a write-up on how it made the Claude frontend faster using agentic optimization techniques. The post coincides with Max Woolf's separate blog post showing that prompting agents can make code faster than current state-of-the-art libraries, with prompts and benchmark results included.

AIGoogle announces support for local AI models in the Antigravity SDK, per a linked developer blog post. The post itself offers no further details, so specific features, supported models, or limits cannot be confirmed from this source.

AIRedwood Research argues that latent reasoning architectures such as COCONUT and full-bandwidth transformers could let models reason without putting information into readable chain-of-thought. The authors say this would make AI agent behavior harder for humans to monitor and could raise takeover risk. They argue that developers who adopt such architectures should be transparent about it.

Why it matters: The post explains why chain-of-thought is a key oversight tool and how specific latent architectures could weaken it, useful for judging safety tradeoffs in future model design.

AIMicrosoft's Azure Blog argues that resilience drifts as workloads change, so architecture diagrams cannot prove a system is resilient. It says roughly 70 percent of cloud outages are related to change, and that teams need health modeling and resiliency goals measured against live signals. The article is the first in a series on validating resilience at scale.

AICursor announced improvements to the token efficiency of its agent harness, linking to a blog post with the details. The post itself offers no figures or specifics beyond that headline claim.

AIThomas Dohmke argues that Git was built to track code, while the next forge must also capture how that code came to be, with humans and agents working together. He shares this view in a conversation with DevInterrupted, where the context behind code lives alongside it.

AISebastian Raschka argues the main appeal of open-source agent harnesses is not cost but the ability to inspect what they do on users' computers. The post frames transparency over local actions, rather than price, as the key advantage.

AIAnthropic's new life sciences group reports that Claude autonomously identified a previously uncharacterized enzyme system, called array-associated reverse transcriptase (ART), in bacteriophages. Claude agents searched over 200,000 reverse transcriptases, narrowed 3,500 candidates to 20, and one agent flagged a CRISPR-like repeat array after about 21 hours. Human scientists then validated the finding in the lab, and the function of ART remains unknown.

Why it matters: The post shows how Claude agents surveyed DNA sequence data, flagged a candidate, and then led to lab validation, which is a concrete workflow for AI-assisted biology research.

AIPrime Intellect has made Prime Sandboxes generally available, offering each sandbox as a full Linux virtual machine with its own kernel and support for Docker Compose. The product is available through its CLI/SDK and RL suite, with accounts starting at 1,024 concurrent sandboxes, and pricing listed at $0.02 per vCPU-hour, $0.0125 per GiB-hour of memory, and $0.0002 per GiB-hour of disk, valid through December 22. The company says GPU microVMs, snapshotting, sandbox forking, and persistent workspaces are planned next.

Why it matters: The post explains why full VMs rather than gVisor containers matter for agentic RL, since silent environment differences can reward behaviors that fail to transfer.

AIRedwood Research found that padding prompts with meaningless filler tokens improves GPT-6-Astra's no-reasoning answers on serial reasoning tasks, rising from about 10-20% to about 50% on 4-hop natural facts. Other tested models improved far less, and the authors argue this means Astra can perform cognition it does not verbalize in its chain of thought, making such monitoring harder.

AIPlatformer asks whether consumer AI agents are the future or a mirage, but the source text provided is only that single question. No further details about Muse's features, performance, or availability are available, so no additional claims can be made.

AIGoogle announced that the Antigravity SDK supports local agent workflows, with initial support for Gemma 4 26B A4B through Google AI Edge's LiteRT. The post includes Python setup steps and says a recommended machine has more than 24GB VRAM or unified memory. It also describes a hybrid pattern in which a cloud Gemini 3.8 Flash planner hands work to local Gemma 4 26B models, with 97.2% of tokens in one recorded run staying local.

AICursor is launching two bots, Rollouts and Security Review, for Teams and Enterprise plans. Rollouts monitors each pull request as it deploys and reports change health per environment, while Security Review reports exploitable bugs on every pull request.

AISwitching effort levels mid-session on Opus 5.5 does not break the prompt cache, according to Lydia Hallie of Anthropic. This holds when running Claude Code v2.1.280 or later.

AICursor's support team says a scrappy version built about 1.5 years ago to handle heavy volume taught them to crawl, walk, then run, and to identify flywheels for continuous improvement. The background post notes the company rebuilt customer support around Grok Bot to handle operations without adding headcount, with the bot responding to customers, resolving tickets, and managing the queue autonomously.

AISierra says its platform makes enterprise AI agents visible and editable, with journeys, policies, and actions viewable in Agent Studio and testable through Simulations and Experiments before rollout. Customers can export agent logic in a portable structured format, access conversation logs and performance data through export APIs, and manage the agent's code in a Git repository. Sierra agents also connect to existing systems through MCP, REST, GraphQL, or custom integrations.