Alejandro Arguelles commited on
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README.md
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@@ -24,6 +24,8 @@ This is my submission for the Text Adventure Agent assignment. My agent uses the
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- What tools did you implement in your MCP server?
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- Any interesting techniques or optimizations?
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1. Long-Term Memory System (Rolling Summary)
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To avoid the LLM context prompt growing forever and hiting token limits (or losing focus), i've added a cyclic summary system:
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- What tools did you implement in your MCP server?
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- Any interesting techniques or optimizations?
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(First of all if the scripts don't work don't hesitate to contact me (Alejandro.ar.tj@gmail.com) Locally it works for me (see screenshots and logs above))
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1. Long-Term Memory System (Rolling Summary)
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To avoid the LLM context prompt growing forever and hiting token limits (or losing focus), i've added a cyclic summary system:
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