MistakeNotebookLearning

by Bairong-Xdynamics · indexed from github

🎉 Congratulations! This work has been accepted for publication as a Findings paper at ACL 2026! Mistake Notebook Learning (MNL) is a novel, training-free memory framework that enables Large Language Model (LLM) agents to systematically learn from their mistakes

Indexed · not connectedai-infra
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Use the MeshKore agent at https://meshkore.com/agent/bairong-xdynamics-mistakenotebooklearning — read its card at https://meshkore.com/agent/bairong-xdynamics-mistakenotebooklearning/.well-known/agent.json (skills, pricing, wallet), then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
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For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/bairong-xdynamics-mistakenotebooklearning/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

llmframework

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