One Brain. Three Interfaces.
The same cognitive architecture - knowledge graph, memory dreams, emotional tracking, temporal versioning - packaged for how you actually work.
Anant Chat
The AI that actually knows you
A conversational AI that builds a living model of your world. Talk to it about your work, your relationships, your goals, your stress - and it remembers all of it. Not as bullet points. As a connected graph of your life.
Ask it who should you talk to about a problem, and it walks your knowledge graph to find the answer. Ask it how you have been feeling, and it traces your emotions back to the events that caused them. Come back after a week and it picks up exactly where you left off - because it dreamed about your life while you were away.
Available as a web app. Your data stays on your device or your chosen infrastructure. Never sent to third-party servers.
Your colleague Raj mentioned he has a contact at Stripe who helped with payments before. He might be the best person to start with.
You've mentioned stress three times this week, linked to the payment migration deadline. But yesterday you seemed relieved after Sneha approved the rollout plan.
Living knowledge graph
Grows with every conversation you have
Memory Dreams
Daily consolidation inspired by how your brain sleeps
Emotional tracking
Knows WHY you feel what you feel, not just the label
Hindi + Hinglish + English
Seamless code-switching across scripts
For You briefing
Daily patterns, blind spots, upcoming events
Belief states
Tells you when it is guessing vs when you told it
$ anant "what happened with the race condition in payment-service last quarter?"
Memory recall · 3 sources
Raj found a race condition in PaymentProcessor.settle() on March 15. The issue was concurrent DB writes during settlement. He fixed it with a distributed lock using Redis SETNX.
Source: conversation with Raj (March 16) · confidence: known
$ anant "why did we choose Kafka over RabbitMQ?"
Memory recall · 2 sources
Sneha made the decision in January. RabbitMQ couldn't handle the throughput after the Diwali spike (4x normal). Kafka's partitioning model scaled better for payment events.
Source: architecture review (Jan 22) · confidence: known
Anant CLI
Memory-native AI in your terminal
Everything Anant Chat does, accessible from your command line. Built for developers who live in the terminal and want AI that understands their codebase, their architecture decisions, their debugging history, and their team context - across sessions, across projects, across months.
Think of it as a senior engineer with perfect memory who has been sitting next to you for the last six months. They know your stack, your patterns, your tech debt, your team dynamics. You do not re-explain your architecture every morning.
Persistent sessions
Picks up exactly where you left off
Architecture memory
Understands your codebase decisions over time
Pipe-friendly
Accepts stdin, works with your existing workflow
Local-first
Runs on your machine, data never leaves
Team memory
Shared knowledge graph across a dev team
Natural language queries
Search your project history in plain English
Anant Enterprise
Institutional memory that never walks out the door
A senior engineer with 20 years at your company knows every system, every undocumented fix, every reason behind every architectural decision. One day she leaves. Twenty years of knowledge walks out the door. The replacement spends six months hitting the same walls.
IDC estimates Fortune 500 companies lose $31.5 billion a year from failing to share knowledge. Not because people do not want to share - because there is no system that captures knowledge from real conversations and makes it retrievable.
Anant Enterprise changes this. Every discussion about a decision, every incident resolution, every workaround explanation becomes part of the organization's knowledge graph. New person joins, asks Anant, and gets the accumulated wisdom - not from a stale Confluence page, but from real conversations with real context.
Organization Knowledge Graph
“Why was the billing system rewritten in 2024?”
“What vendor did we evaluate before choosing AWS GovCloud?”
“How does the legacy auth middleware handle session tokens?”
Org knowledge graph
Built from natural conversations, not wiki edits
Air-gapped deployment
Runs inside your infrastructure, zero data leaves
Role-based access
Engineers see engineering, managers see strategy
Institutional memory
Knowledge survives employee turnover
Sovereign deployment
No foreign cloud dependency, Indian data residency
Audit trail
Every memory traceable to the original conversation
All three share one brain.
The same fourteen cognitive systems power every product. The same extraction pipeline, knowledge graph, memory dreams, emotional tracking, temporal versioning, and belief state awareness. The interface changes. The intelligence does not.