[GH-ISSUE #2] Add MemTool to 02-tool load out (short term memory for dynamic tools) #1

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opened 2026-02-16 08:18:08 -05:00 by yindo · 0 comments
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Originally created by @EliasLumer on GitHub (Jul 30, 2025).
Original GitHub issue: https://github.com/langchain-ai/how_to_fix_your_context/issues/2

For 02-tool load out, you should add multi-turn conversation support. Currently, your LLM agent can only operate for 1 turn, adding tools to its context, then ending the turn there. But what if the user asks for the same tool in follow-up?

Solution: My team published “MemTool” which is short-term memory management for dynamic tools (big tool in your repo). The idea: A) have agents remove/add tools within the state, or have a B) workflow or C) hybrid approach.

Let’s help socialize this effort, as I think we both are very bullish on having LLMs have access to thousands or millions of tools , like a human would have access to an App Store.

Paper: https://arxiv.org/abs/2507.21428

@rlancemartin

Originally created by @EliasLumer on GitHub (Jul 30, 2025). Original GitHub issue: https://github.com/langchain-ai/how_to_fix_your_context/issues/2 For 02-tool load out, you should add multi-turn conversation support. Currently, your LLM agent can only operate for 1 turn, adding tools to its context, then ending the turn there. But what if the user asks for the same tool in follow-up? Solution: My team published “MemTool” which is short-term memory management for dynamic tools (big tool in your repo). The idea: A) have agents remove/add tools within the state, or have a B) workflow or C) hybrid approach. Let’s help socialize this effort, as I think we both are very bullish on having LLMs have access to thousands or millions of tools , like a human would have access to an App Store. Paper: https://arxiv.org/abs/2507.21428 @rlancemartin
yindo changed title from Add MemTool to 02-tool load out (short term memory for dynamic tools) to [GH-ISSUE #2] Add MemTool to 02-tool load out (short term memory for dynamic tools) 2026-06-05 19:17:39 -04:00
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Reference: langchain-ai/how_to_fix_your_context#1