We Tested Honcho Memory for AI Agents (Here's What Actually Happened)
リアクション
2026年04月13日
We installed Honcho, one of the most talked-about memory systems for AI agents, and put it through real-world workflows with OpenClaw and Hermes. In this video, we break down how Honcho builds user profiles, compares to LLM Wiki, and whether it actually improves agent performance — or falls short.
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Chapters:
00:00 Introduction — Installing Honcho Memory
00:21 What Is Honcho?
00:46 How Honcho Reasons With Memory
01:06 Exploring User Profiles
02:48 Preferences & Profile Breakdown
03:32 Honcho vs LLM Wiki
06:16 Does Honcho Actually Improve Workflows?
07:00 The Memory Access Problem
09:58 Honcho: Honest Review & TLDR
12:37 Final Thoughts & What's Next
🔥 Check out our Community Website: https://boxminingai.com/
📚 Join our Discord: https://discord.com/invite/boxtrading
👉🏼 Zeabur Server: https://zeabur.com/ (Save $5 use code: boxmining)
👉🏼 Minimax 10% Off: https://platform.minimax.io/subscribe/coding-plan?code=5GYCNOeSVQ&source=link
👉🏼 Kimi AI: https://www.kimi.com/kimiplus/sale?activity_enter_method=h5_share&invitation_code=Y4JW7Y
👉🏼 GLM Coding Plan: https://z.ai/subscribe?ic=WDHIPYBDSB
📖 Read more AI News: https://www.boxmining.com/
Partnership/Collaboration Email: boxminingai@gmail.com
Chapters:
00:00 Introduction — Installing Honcho Memory
00:21 What Is Honcho?
00:46 How Honcho Reasons With Memory
01:06 Exploring User Profiles
02:48 Preferences & Profile Breakdown
03:32 Honcho vs LLM Wiki
06:16 Does Honcho Actually Improve Workflows?
07:00 The Memory Access Problem
09:58 Honcho: Honest Review & TLDR
12:37 Final Thoughts & What's Next