
Sere AI
A high-fidelity multi-agent AI platform built on LangGraph & LangChain, featuring a Planner-Generator-Verifier architecture, hierarchical memory, and artifact-based response rendering for complex engineering workflows.
Project Overview
Sere AI is a sophisticated AI assistant platform architected on a stateful cyclic agent engine powered by LangGraph and LangChain, coordinating 10 specialized agents and 18 tools through a Planner-Generator-Verifier architecture for iterative task execution and self-correction.
The platform features a hierarchical memory architecture enabling persistent user context and technical intent across long-running sessions, supporting context-aware multi-turn interactions across multiple agent workflows.
An artifact-based response rendering system delivers structured AI outputs with real-time previews and dynamic document generation for complex, long-form engineering tasks.
Tool-calling and agent-routing workflows allow AI agents to dynamically select and execute application capabilities based on user intent, supported by a Three-Tier Cognitive Memory (Recent, Cognitive Profile, and Structured) for deep user context tracking.
Built for performance and reliability at scale — handling 800+ conversations across 300+ users — with round-robin API balancing for Gemini keys, quota-aware retries, and real-time token monitoring.
Key Features
- LangGraph & LangChain stateful cyclic agent engine with Planner-Generator-Verifier architecture
- 10 specialized AI agents and 18 tools coordinated via multi-agent workflow orchestration
- Self-healing verification subagents for iterative output correction and accuracy assurance
- Hierarchical memory model for persistent context across long-running multi-turn sessions
- Artifact-based response rendering with real-time previews and document generation
- Dynamic tool-calling and agent-routing based on user intent classification
- AI-driven Orchestrator for intelligent routing to specialized engines (Visualizer, Solver, etc.)
- Architectural Visualizer with Mermaid.js, Excalidraw, and Vega-Lite for system diagrams and data charts
- Learning Discovery mode with ELI5 pedagogy, concept mapping, and high-yield notes generation
- Assignment Solver and PYQ engine with 100% technical accuracy and step-by-step solution generation
- Syllabus-to-Notes transformer supporting images and text input
- ATS-optimized Resume Generator and professional PPT Generator
- Three-Tier Cognitive Memory system (Recent, Cognitive Profile, Structured) for deep user identity tracking
- Round-Robin API Balancing, Quota-Aware Retries, and real-time token monitoring
- Professional PDF Export for chats and technical deconstructions
- Premium Slate Design System with Tailwind CSS 4 and vision mode for multi-image processing
Technologies Used
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Project Details
Client
Personal Project
Timeline
2026
Role
Founding AI Engineer


