MIT CSAIL's JAZ agent framework runs on a single invoke primitive
Memory and self-improvement are usually bolted on as separate subsystems; JAZ shows both can just be code the agent writes inside its own loop, with hooks enforcing constraints and monitoring. Builders designing agent harnesses can use this to cut complexity and cost instead of adding memory layers. The paper is arXiv:2609.26891, with an explore guide at academy.dair.ai.
MIT CSAIL researchers present JAZ, an agent framework built around one primitive: invoke.
The LLM writes code, can call invoke recursively, and treats all of its inputs and history as variables in the code environment.
With prompting only and no memory system, JAZ beats Letta (MemGPT) by 8% at half the cost on the recall-heavy part of StuLife.
On AppWorld, it beats ACE, a self-improvement method, by 4% at lower cost.
Keep your agent harness minimal, folks. This paper from MIT CSAIL shows why. (bookmark it) While being very minimal it looks effective and promising for building self-improving agents. They present JAZ, an agent framework with one primitive, invoke. The LLM writes code, can call invoke recursively, and sees all of its inputs and history as variables in the code environment. With prompting only and no memory system, it beats Letta (MemGPT) by 8% at half the cost on the recall-heavy part of StuLife. On AppWorld it beats ACE, a self-improvement method, by 4% at lower cost. Memory and self-improvement are usually built as separate subsystems. Here both are code the agent writes inside the loop, and hooks handle the constraints and monitoring you want to enforce. Paper: arxiv.org/abs/2609.26891 Explore Paper: academy.dair.ai/papers/harness…📊 19 ⚡
This report is categorized under AITOP's "Papers" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include JAZ, MIT CSAIL, agents, Letta.
Source attribution: curated from elvis (@omarsar0).