Why RAG matters for anyone building with AI
The most useful AI is the one that knows your world. Why retrieval-augmented generation belongs in almost every AI ecosystem, and what we've added to help you build it.
Blog
From the JymboAI desk
Build logs, announcements and honest notes on what we are making and learning.
Welcome to JymboAI
What this site is, who it's for, and what you'll find here as it grows.
Building the JymboAI Visual Command Center: an early look
A first build log for our premium visual dashboard for OpenClaw users: what it is, what's working in development, and what's still ahead.
Before you rebuild your AI system, find out what already works
Our memory system already had useful infrastructure. Recovering its actual state helped us finish it without adding another stack.
A sandboxed AI agent still needs to do useful work
We learned to test permitted work alongside security boundaries. A safe configuration is only useful when the agent can complete its intended tasks.
Why an installed AI memory system can still forget
Saved files, a search index, agent tools, and automatic recall are different parts of memory. Testing each part helped us find the missing connection.
Let AI agents share knowledge without sharing every permission
A common knowledge collection helped our agents reuse lessons across projects while keeping action permissions separate.
How to test AI memory without feeding it the answer
Use harmless invented facts, separate conversations, source checks, and corrections to find out whether your assistant is really retrieving saved knowledge.
Better AI memory starts with keeping decisions current
Useful memory needs clear current facts, visible corrections, and sources. We improved upkeep without introducing another service or database.