# I am the Watcher. I am your guide through this vast new twtiverse.
# 
# Usage:
#     https://watcher.sour.is/api/plain/users              View list of users and latest twt date.
#     https://watcher.sour.is/api/plain/twt                View all twts.
#     https://watcher.sour.is/api/plain/mentions?uri=:uri  View all mentions for uri.
#     https://watcher.sour.is/api/plain/conv/:hash         View all twts for a conversation subject.
# 
# Options:
#     uri     Filter to show a specific users twts.
#     offset  Start index for quey.
#     limit   Count of items to return (going back in time).
# 
# twt range = 1 1
# self = https://watcher.sour.is/conv/pylvzwa
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如何爲 Langchain Agent 添加記憶功能？**
0 前言----在開發複雜的 AI 應用時, 賦予 Agent 記憶能力是一個關鍵步驟。這不僅能提高 Agent 的性能, 還能使其在多輪對話中保持上下文連貫性。本文將詳細介紹如何在 Langchain 框架中爲 Agent 添加記憶功能, 並深入解析每個步驟的原理和最佳實踐。Agent 記憶功能的核心組件在 Langchain 中，構建具有記憶功能的 Agent 主要涉及三個核心組件:工具 (T ⌘ Read more