Visiting Student-Subcontractor - DSL - Ding, Peng - 8.7.26.

Argonne National Laboratory • Lemont, IL

3d • Onsite

About The Position

Ctxweave is a pluggable context and artifact management library for AI agent systems. As large language model (LLM) agents tackle increasingly complex, long-running tasks, they face critical challenges in managing their finite context windows — including unbounded context growth, attention degradation (the "lost-in-the-middle" effect), and signal dilution from irrelevant tokens — while simultaneously struggling to maintain coherent workspace state across the artifacts they produce. ctxweave addresses these challenges by modeling agent context as a version-controlled directed acyclic graph (DAG), inspired by Git's commit-tree architecture. Each atomic context unit is typed (e.g., instruction, observation, tool call/result, state), enabling a type-aware merge registry that applies content-specific compaction and conflict resolution strategies, a significant improvement over the naive sliding-window or LLM-summarization approaches used by existing frameworks. Beyond context management, ctxweave provides unified artifact and workspace lifecycle management, tracking file mutations, dependency relationships, and workspace snapshots as first-class entities within the DAG. The framework is designed to support both single-agent and multi-agent scenarios, enabling context forking, parallel workspace isolation, and structured merging when agents collaborate or hand off work. Built as a zero-dependency library rather than a standalone framework, ctxweave is intended for integration into production agent platforms to deliver structured, reversible context compaction, artifact-aware history management, and seamless multi-agent coordination.

Requirements

• The entirety of the appointment must be conducted within the United States.
• Must be 18 years or older at the time the appointment begins.
• Currently enrolled in undergraduate or graduate studies at an accredited institution.
• Graduated from an accredited institution within the past 3 months; or
• Actively enrolled in a graduate program at an accredited institution.

What This Job Offers

• Job Type: Part-time
• Career Level: Entry Level
• Education Level: Associate degree