Agent Smriti
स्मृति — Sanskrit for “that which is remembered and understood”
The context engine that enables AI agents to understand, adapt, and act with continuity — ensuring every decision is made in the full awareness of intent, history, environment, and evolving goals.
Why Context Matters
Most AI systems fail not because of lack of intelligence — but lack of context.
Respond without understanding continuity
Lose track of goals across workflows
Treat every interaction as a fresh start
Agent Smriti solves this by
Making context persistent, structured, and actionable — so agents understand, not just react.
What Is Agent Smriti
A dynamic context layer. Continuously constructed in real time.
This context is not static — it continuously evolves with every interaction, building a live understanding of the situation as it unfolds.
Context is assembled from
User intent and goals
Task history and progression
Environmental signals (systems, APIs, data)
Business rules and constraints
Outputs and outcomes from previous actions
How It Works
Four stages. One continuous understanding.
Context Construction
Smriti assembles context from multiple sources and builds a live context graph — not just a static record.
- Inputs and instructions
- Workflow state
- System integrations
- Historical interactions
Context Prioritization
Not all context is equally relevant. Smriti dynamically filters and ranks context so agents focus only on what matters now.
- Current objective
- Recency and importance
- Task dependencies
Context Injection
Before any action, Smriti injects the right context into the agent's decision layer — improving reasoning and aligning outputs with goals.
- Better reasoning
- Higher accuracy
- Goal-aligned outputs
Context Evolution
As agents act, Smriti updates itself — incorporating new outcomes, adjusting relevance, and refining context relationships. Context becomes sharper with every cycle.
- Incorporating new outcomes
- Adjusting relevance
- Refining context relationships
Types of Context
Five layers. One complete picture.
Intent Context
What the user or system is trying to achieve.
State Context
Where the workflow currently stands.
Knowledge Context
Relevant information, rules, and domain understanding.
Interaction Context
Previous actions, decisions, and conversations.
Outcome Context
What worked, what failed, and performance signals.
What Makes Agent Smriti Different
Not a memory store. An active reasoning layer.
Context, Not Memory
Smriti is not about storing the past — it is about making the present intelligent. Every piece of context exists to improve the next decision.
Built for Action
Context is structured specifically to improve decision-making and execution — not as an archive, but as an active reasoning layer.
Deeply Integrated with KARMIC
Smriti feeds directly into the KARMIC Feedback Loop — enabling context-aware evaluations, smarter reformation, and faster iteration cycles.
Multi-Agent Context Sharing
Agents operate with a shared understanding of reality, enabling coordination and collaboration without repeated re-instruction.
Enterprise Impact
From stateless execution to context-aware intelligence.
Without Smriti
Agents react
Each interaction begins from zero. No continuity. No memory of goals. No awareness of what came before.
With Smriti
Agents understand
Every interaction builds on the last. Goals persist. Context compounds. Decisions improve with every cycle.
Maintain continuity across complex workflows
Align agent actions with business goals
Reduce errors caused by missing context
Deliver consistent, high-quality outcomes
Smriti as Living Context
In Sanskrit, Smriti is that which is remembered and understood.
In agentic systems, it becomes the foundation of reasoning — the bridge between actions, the lens through which agents interpret the world.
The foundation of reasoning
Context is not supplementary — it is the substrate on which every intelligent decision is built.
The bridge between actions
Smriti connects what happened before to what should happen next, giving agents directional continuity.
The lens through which agents interpret the world
Without context, outputs are generic. With Smriti, every response is grounded in the specific reality of the situation.
Powering Context-Driven Agentic Systems
Agent Smriti is a core layer for building.
Autonomous marketing systems
Intelligent operational workflows
Adaptive enterprise agents
Related Platform Features
See Agent Smriti in action.
Talk to a Nagent solutions engineer and get a live walkthrough of the context layer — tailored to your workflows and use case.