Introduction
The problem: Context management in AI workflows is broken. Personal frustration: I was spending 60 seconds explaining every single bug to Claude or Copilot. This is adharma—it breaks your flow and drains your cognitive load.
The Inspiration
Vedantic philosophy: विस्मृति भी विद्या है ("Forgetting too is knowledge")
Fuzzy-Trace Theory: Human memory relies on "gists" (semantic meaning), not "verbatim" (perfect recall).
Neuroscience: Synaptic pruning (forgetting) is what makes learning possible.
The Architecture
Three-Kosha memory system (inspired by Vedantic philosophy)
Salience classification (tagging what's important)
Gist extraction (compressing the "noise")
Python bridge + VS Code integration
The Results
We ran a real-world Flask debugging test. The results are not a hypothesis; they are a fact.
90% time savings (A 60-second manual workflow → 5 seconds)
59% token reduction (A 210-token conversation → a one-shot 85-token prompt)
95.6/100 integration score
See the 5-second demo here: https://www.youtube.com/watch?v=gV4sPkl5qns
The Journey
From research paper to production.
Challenges: Cross-platform Python, auto-detecting secrets to maintain privacy.
Wins: A zero-config installation that is local-first and privacy-first by default.
The Future
v0.2.0: Memory Ledger UI (to see what Vidurai remembers)
v1.0.0: ML-based salience classification
v2.0.0: Multi-IDE support
Try It
Vidurai is free, open-source, and available now.
Install: ext install vidurai.vidurai
Marketplace: https://marketplace.visualstudio.com/items?itemName=vidurai.vidurai
GitHub (MIT): https://github.com/chandantochandan/vidurai
Feedback is our Dharma
v0.1.0 is alpha. Please join the sangha and help build the future of AI-human collaboration.
🐞 Bugs: https://github.com/chandantochandan/vidurai/issues
💡 Features: https://github.com/chandantochandan/vidurai/discussions
💬 Community: https://discord.gg/DHdgS8eA
Conclusion
Ancient wisdom has modern applications. Privacy and AI can coexist. Philosophy matters in technology. जय विदुराई! 🕉️
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