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LIVE: Testing Memory Plugins with OpenClaw
Today we tested Honcho, memory plugins, and what it actually takes to add shared memory to an OpenClaw / Hermes agent setup.
This was a real build-in-public stream: snapshot first, test safely, hit the install issues live, troubleshoot Docker, ask the agent for help, and then step back to make the better architecture decision.
The big takeaway? I probably would not install Honcho directly on my main OpenClaw VM long term. For my setup, the cleaner move is a dedicated "Memory OS" VM on the local network, with both OpenClaw and Hermes pointing to that shared memory layer. That keeps the system cleaner, easier to back up, and easier to expand if we test more memory tools later.
We also talked through Hindsight, Bite Rover, Lossless Claw, embeddings, OpenAI API keys, local models, and why you should not blindly copy someone else's mission control setup. Use what works for your workflow, test it in your own environment, and keep the pieces that actually help.
TIMESTAMPS:
0:00 - Welcome back and setting up a VM snapshot before testing memory plugins
0:03:12 - Starting with Honcho and creating the test account
0:11:22 - Asking Muddy how to integrate Honcho with the OpenClaw system
0:16:45 - API keys, costs, and why Marcelo is testing Honcho for the community
0:24:20 - Moving into the VM and deciding where Honcho should run
0:31:08 - Trying a self-hosted Honcho setup on the OpenClaw Ubuntu machine
0:41:13 - Running into setup issues and reconsidering the Docker path
0:52:06 - Adding the OpenAI API key and installing Docker for the Honcho test
1:03:20 - Docker health check problems and troubleshooting container commands
1:35:09 - Letting Muddy handle the install after manual setup gets stuck
1:44:35 - Chat, embeddings, Bite Rover, and the reality of memory plugin setup
1:56:18 - Comparing Honcho, Hindsight, Bite Rover, and Lossless Claw
2:04:09 - Best architecture: dedicated Honcho / Memory OS VM for shared memory
2:17:22 - Deciding to restore the snapshot and build a dedicated Memory OS setup
2:31:08 - Final takeaways, future Honcho video, and tomorrow's OpenClaw plugin stream
TOOLS / TOPICS FEATURED:
- Honcho
- OpenClaw
- Hermes Agent
- Docker
- OpenAI API
- Hindsight
- Bite Rover
- Lossless Claw
- Local AI agent memory
- Multi-agent workflows
Should I turn the dedicated "Memory OS" VM setup into a full tutorial? Drop a comment and tell me if you want the step-by-step version.
Making AI simple and easy to use. For businesses, entrepreneurs, and creatives.
#Honcho #OpenClaw #HermesAgent #AIAgents #AIMemory #SelfHostedAI #Docker #OpenAI #AIWorkflow #Clearmud
Видео LIVE: Testing Memory Plugins with OpenClaw канала Clearmud
This was a real build-in-public stream: snapshot first, test safely, hit the install issues live, troubleshoot Docker, ask the agent for help, and then step back to make the better architecture decision.
The big takeaway? I probably would not install Honcho directly on my main OpenClaw VM long term. For my setup, the cleaner move is a dedicated "Memory OS" VM on the local network, with both OpenClaw and Hermes pointing to that shared memory layer. That keeps the system cleaner, easier to back up, and easier to expand if we test more memory tools later.
We also talked through Hindsight, Bite Rover, Lossless Claw, embeddings, OpenAI API keys, local models, and why you should not blindly copy someone else's mission control setup. Use what works for your workflow, test it in your own environment, and keep the pieces that actually help.
TIMESTAMPS:
0:00 - Welcome back and setting up a VM snapshot before testing memory plugins
0:03:12 - Starting with Honcho and creating the test account
0:11:22 - Asking Muddy how to integrate Honcho with the OpenClaw system
0:16:45 - API keys, costs, and why Marcelo is testing Honcho for the community
0:24:20 - Moving into the VM and deciding where Honcho should run
0:31:08 - Trying a self-hosted Honcho setup on the OpenClaw Ubuntu machine
0:41:13 - Running into setup issues and reconsidering the Docker path
0:52:06 - Adding the OpenAI API key and installing Docker for the Honcho test
1:03:20 - Docker health check problems and troubleshooting container commands
1:35:09 - Letting Muddy handle the install after manual setup gets stuck
1:44:35 - Chat, embeddings, Bite Rover, and the reality of memory plugin setup
1:56:18 - Comparing Honcho, Hindsight, Bite Rover, and Lossless Claw
2:04:09 - Best architecture: dedicated Honcho / Memory OS VM for shared memory
2:17:22 - Deciding to restore the snapshot and build a dedicated Memory OS setup
2:31:08 - Final takeaways, future Honcho video, and tomorrow's OpenClaw plugin stream
TOOLS / TOPICS FEATURED:
- Honcho
- OpenClaw
- Hermes Agent
- Docker
- OpenAI API
- Hindsight
- Bite Rover
- Lossless Claw
- Local AI agent memory
- Multi-agent workflows
Should I turn the dedicated "Memory OS" VM setup into a full tutorial? Drop a comment and tell me if you want the step-by-step version.
Making AI simple and easy to use. For businesses, entrepreneurs, and creatives.
#Honcho #OpenClaw #HermesAgent #AIAgents #AIMemory #SelfHostedAI #Docker #OpenAI #AIWorkflow #Clearmud
Видео LIVE: Testing Memory Plugins with OpenClaw канала Clearmud
AI Agent Memory AI Agents AI Automation AI Experiment AI Memory AI Tools AI Workflow Agent OS Bite Rover Build in Public Claude Code Clearmud Codex Developer Tools Docker Hermes Agent Hindsight Honcho Live Coding Local AI Setup Local Network Lossless Claw Memory Plugins Muddy OS OpenAI API OpenClaw OpenRouter Self Hosted AI Ubuntu VM Setup
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14 мая 2026 г. 11:54:44
02:33:46
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