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Post #4385 690
New research from Meta and CMU. This one is on agentic context management for long horizon tasks.

Production agents accumulate context every turn. The usual fix compresses on a token threshold and throws the remainder away, so the trigger sometimes fires for reasons unrelated to what the agent is currently working on.

ACM hands the agent purpose-built context editing tools. It decides when to compress, offloads what it drops into an external memory store, and queries that store later when it needs the detail back. Compression shifts from short-term to long-term memory.

Code, data, and checkpoints are released.
arXiv.org ACM: Agentic Context Management for Long Horizon Tasks Agentic tasks are inherently long-horizon and multi-turn, constantly accumulating context through interactions with the environment. Existing context compression methods inevitably incur...
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