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AI
plateau
by aimerdoux
Bounded context for long-horizon LLM agents: carry a small re-grounded signal instead of replaying the transcript, so a parent agent's footprint stays flat as the task grows. Recompute-verifiable; null results published; cheaper, not smarter.
1stars0forks0watchers/subscribers4issues
agent-memoryagent-orchestrationai-agentsautonomous-agentsclaudeclaude-codecontext-managementcontext-windowdeveloper-toolsllm-agentsllmopslong-horizon-agentsmcppythonreproducible-research
- Language
- Python
- License
- Apache License 2.0
- Size
- 6.7 MB
- Created
- Jun 2, 2026
- Last Updated
- Sep 18, 2026
- Last Pushed
- Sep 18, 2026
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