The "Reflect" loop is the secret sauce. Instead of just storing raw logs, the agent analyses its own actions. What worked? Where did it fail? What beliefs need updating? This self-reflection turns an agent from a simple automation script into a learning entity.
@avikumart_
-
AI Agents Need Memory: Beyond Goldfish Brain Limitations
By
–
Current AI agents often suffer from "Goldfish Memory"—they might have a massive context window, but they don't actually learn from experience.
— Avi Kumar Talaviya (@avikumart_) 1 février 2026
Every session feels like Day 1. That changes with agentic memory systems like Hindsight from @Vectorizeio. pic.twitter.com/AYFJBksFjbCurrent AI agents often suffer from "Goldfish Memory"—they might have a massive context window, but they don't actually learn from experience. Every session feels like Day 1. That changes with agentic memory systems like Hindsight from @Vectorizeio
. -
Agents Learn from Experience to Improve Memory and Performance
By
–
Imagine Agents learn from their experiences to improve memory, retention, and task performance, just like the human brain. It distinguishes between "World Facts" and "Experiences". It's the difference between reading a map and actually driving the route.
-
DINQ AI-Native Identity Platform Launch with Invite Code
By
–
Stop sending outdated resume PDFs. Check out DINQ and create your AI-native identity here: https://
dinq.me/?from=avi
Code: AVI Sign up with the invite code to claim the welcome bonus!! #DINQ -
AI-Powered Collaboration Platform for Talent Discovery
By
–
You can also use it to: • Search for like-minded talent to collaborate with • Analyse other members' profiles to see their real skills • Discover new opportunities via AI-powered reasoning
-
Achievement Graph: Visualizing Professional Credibility Networks
By
–
It also visualises your "Achievement Graph." Instead of just listing jobs, it shows your real collaboration networks and technical credibility with verified code, contributions, and citations in a way that actually makes sense for the AI era.
-
Auto-updating professional profile card with real-time social sync
By
–
The best part is that it’s completely auto-updating. You link your socials once, and it handles the rest. New repo? New paper? New role? It updates your DINQ card in real-time so your profile is never "outdated" again.
-
DINQ: AI-Native Identity Platform Aggregates Professional Achievements
By
–
I just found a tool that finally fixes this: @dinq_me (pronounced "dink"). It’s an AI-native identity platform that automatically aggregates your achievements from GitHub, Google Scholar, LinkedIn, X, and more into one living profile. #DINQ
-

Building Your Technical Identity Across Developer Platforms
By
–
I have had trouble establishing my technical identity across various platforms, including GitHub, Kaggle, & others If you’re a developer/researcher, your "real" resume is buried in GitHub commits, arXiv, and X. Recruiters/collaborators usually only see a fraction of what you do
-
Hindsight: Open-source solution for AI memory management
By
–
Ready to fix AI memory loss? Check out the repo and star the project here: https://
github.com/vectorize-io/h
indsight
… Full docs: