Production Planning, Memory, and the Real Cost of Agent Failures

Research

Bridging Delays in Long-Horizon Agent Planning

Agents struggle with long-horizon planning because the action space explodes. This paper proposes decomposing long tasks into manageable skill units, letting agents navigate delays between decisions more efficiently. If you're building agents that need to operate over hours, not minutes, this is worth reading.

Formal Tool Abstractions for Robust Agent Execution

Real-world tool use means handling failures gracefully. This work introduces a formal abstraction for tool interfaces that lets agents reason about error conditions before execution. Less trial-and-error means faster loops and lower token spend.

End-to-End Benchmarks for Compositional Agent Tasks

Most benchmarks test agents on single tasks. This paper pushes toward evaluating agents on multi-step, multi-tool workflows with realistic handoffs. If you care about measuring what your agent actually ships, not just demo performance, this is relevant work.

Self-Evaluation Loops for Adaptive Agent Behavior

Agents that can monitor their own behavior and adapt are more reliable in the wild. This research explores internal self-evaluation loops that let agents detect when they're drifting off-task before burning tokens. Good signal for anyone building self-healing systems.

Structured Memory Architectures for Agent Retrieval

Memory retrieval is where most RAG-based agents break down at scale. This work proposes a structured memory architecture that separates episodic from semantic recall, which maps well to how humans actually use context. Worth stealing patterns from.

Tools

LangGraph Ships Durable Session Management

LangGraph now ships first-class session management, which means agents can maintain stateful conversations across restarts without custom plumbing. This is a big deal for production agents that need durable memory without rolling your own Redis layer.