Authorization, observability, and routing are three separate problems that all get a lot easier when you solve them in one place. That's the case for a single gateway in your agentic stack.
#LocalLLM#AI
There's a big difference between routing everything to GPT-4o because it's the default and routing it there because it's the right tool for the job. Try using a single gateway to fine tune which model gets which requests. Save money and get better outputs.
#LocalLLM#AI
If you are telling your agent "stop using em dashes" every session, don't worry, there's a better way. Persistent memory is what separates a functional agent from a great one.
#LocalLLM#AI
The agentic AI space is moving fast enough that new zero-days are inevitable. Design your systems assuming something will go wrong, not hoping it won't.
#LocalLLM#AI
Token usage, tool calls, session tracing are difficult to track if your agent has multiple entry points. One gateway makes all of this trivial.
https://t.co/7S2bkrFzKN
#LocalLLM#AI
A huge amount of LLM training data was in markdown format. That means your agents are already optimized to follow instructions written in it. Sooooo make it easy on yourself and write your agent's memory in markdown.
#LocalLLM#AI
If your whole team can't open and edit your agent's instructions in a text editor, that's a liability. Work in plaintext markdown.
https://t.co/7S2bkrFzKN
#LocalLLM#AI#Agents
The reason most AI agents feel brittle is that they're stateless by design. A heartbeat pattern fixes that because your agent keeps working even when no one is watching.
#LocalLLM#AI
OpenClaw is essentially a proof of concept for what agentic systems can look like when they're designed thoughtfully from the ground up. You don't need to run it to learn from it.
#LocalLLM#AI
We have OpenClaw at home. It might not have all the bells and whistles, but with the right design patterns you can build something just as capable on your own terms.
https://t.co/7S2bkrFzKN
#LocalLLM#AI
There isn't one LLM to rule them all. A single gateway lets you route requests to the right model for the job, whether that's a frontier model or a fine-tuned SLM.
#LocalLLM#AI
Modular memory is WAAAAAY better than monolithic system prompts. When your agent learns a new preference, it should write that to a file, not lose it when the session ends.
#LocalLLM#AI
The best AI agents aren't built with the best tools. They're built with the best design patterns. OpenClaw is a great example of what that looks like in practice.
#LocalLLM#AI
Don't ask whether you can trust your LLM. Ask how well you can compartmentalize it so that even if something goes wrong, the blast radius is small.
https://t.co/7S2bkrFzKN
#LocalLLM#AI