Agents Find Their Guardrails: Sandboxes, Memory, and the Push for Verifiable Output

Research

SafeAgentBench: A New Benchmark for Evaluating Agent Safety in Complex Tasks

This paper introduces a rigorous benchmark for testing how agents handle safety risks in multi-step scenarios. It's a much-needed reality check for builders, moving beyond simple accuracy to measure whether agents can avoid harmful or irreversible actions.

Exploring the Limits of Context Window Scaling for Long-Term Agent Memory

The research investigates simply stuffing everything into a huge context window versus more sophisticated retrieval methods. The takeaway for builders is that raw context size alone isn't a silver bullet for true long-term memory and planning.

V-Oracle: A Framework for Verifiable Orchestration of Multi-Agent Systems

V-Oracle introduces a mechanism to produce verifiable proofs that an agent system executed a task according to a specified policy. This is a key building block for deploying agents in regulated industries where you need audit trails, not just outputs.

Memorize or Retrieve? A Study on Dynamic Memory Management for Conversational Agents

This research analyzes when an agent should commit information to its long-term memory versus just retrieving it from the conversation. It provides practical heuristics for designing agents that don't get confused by their own context or incur unnecessary compute costs.

Formal Verification of LLM-Generated Code in Agent Planning Loops

The paper applies formal methods to verify the code an agent writes during its planning phase before execution. This is a tactical step toward agents that can trust their own generated code, reducing one of the largest failure modes in autonomous coding systems.

Tools

ToolSandbox: A Unified Environment for Safe and Controlled Tool Execution

ToolSandbox provides a standardized, sandboxed runtime for agents to use external tools, isolating failures and enforcing permissions. It addresses a core infrastructure gap, making tool use more predictable and less 'spaghetti-coded' in production.