AGENTS THAT
REMEMBER VISUALLY
Stop your AI from making the same mistake twice. Vritti's Episodic Memory layer enables agents to capture failures, reflect on them, and retrieve the solution before acting again.
The Hallucination Problem
Current AI agents are stateless between sessions. If an agent fails to deploy to Kubernetes today, it will likely make the exact same error next week. This wastes tokens, time, and human patience.
Deployment Failed
Error: ImagePullBackOff (registry.io/app:latest not found)
Deployment Failed (Again)
Error: ImagePullBackOff (registry.io/app:latest not found)
The Episodic Solution
KyroDB acts as a long-term hippocampus for your agents. It stores failure episodes with full context code, logs, and even screenshots, and retrieves them semantically.
Action Intercepted
"Wait! I've seen this failure before. You need to run docker push first."
Deployment Successful
Status: Running (1/1)
Architecture of Memory
1. Capture
When an agent fails, KyroDB captures the entire state: goal, tool chain, error logs, and code diffs.
2. Reflect
A background process uses LLMs to analyze the failure, identifying the root cause and generating a minimal fix.
3. Gate
Before taking future actions, the agent queries KyroDB. If a similar failure context is found, the action is gated with a hint.