代理工具

Agent、MCP、coding agent、工作流自動化與評測。

GitHub Repo

Headlong Implements a Persistent Agent With an Infinite Bash Loop, Thinking and Acting Even When No One Is Asking

Laude Institute and MIT have open-sourced Headlong, a Bash-based system with fewer than 10,000 lines of code that treats messages as asynchronous observations within a continuous stream of thought rather than as new sessions. The design enables research into long-term memory and autonomous action, but it also turns token costs, permission isolation, and cross-user data boundaries into persistent risks.

AI 安全

Anthropic Tests a Fine-Tuned “Lie Detector”: In-Domain AUROC Rises to 0.95, but Falls to Around 0.70 on a Different Type of Lie

The research team used eight open model families to generate roughly 200,000 examples of pressure-induced scenarios, then applied LoRA to train models to determine whether they themselves were lying. The detectors mainly learned surface-level patterns such as sycophancy and capability denial, performing only slightly better than prompting baselines on unseen lie types.

最新模型

ReWorld Uses a Pose-Indexed Landmark Bank to Fix the KV Budget, Allowing Interactive World Models to Return to Earlier Scenes After Long Journeys

ReWorld assigns short-term action control and long-term scene memory to different attention ranges, then preserves history in a fixed-capacity landmark bank. The authors demonstrate real-time streaming at 704×1280 and 64-second return trajectories, but only the paper and demo page are currently available; neither model weights nor code have been released.

GitHub Repo

Prime Agent Open-Sources a Persistent RLM Harness That Keeps Agent Memory, Subagents, and Execution Environments Outside the Conversation

Prime Agent supports long-running coding agents with a persistent IPython environment, daemon sessions, and a versionable Continual Harness. Its authors report that ARC-AGI-3 RHAE Best@1 rose from 30% to 95.5%, but the score reflects the complete model-and-harness system and should not be treated as an isolated comparison of underlying model capabilities.