Solid optimization from @nanobot_project for local agent deployment:
• 10x faster cold start (4.6s → 0.48s)
• 5x memory reduction (211MB → 39MB)
• Lazy loading with pay-per-use architecture
These infrastructure improvements make personal AI agents more practical for everyday use. Significant improvement on addressing the resource efficiency bottleneck.
nanobot (@nanobot_project)
Your personal agent nanobot just got much lighter.
Gateway cold start: 4.6s → 0.48s
Startup memory: 211MB → 39MB
How? We now lazily load channels and provider clients, so your local agent only pays for what it actually uses.
— https://nitter.net/nanobot_project/status/2057120481149591702#m