Super Agent Stack
Super Agent Stack enhances AI with reliable, citation-backed responses and personal memory for developers and teams.
Category: AI Detection
Price Model: Freemium
Audience: Enterprise
Trustpilot Score: N/A
Trustpilot Reviews: N/A
Our Review
Super Agent Stack: Enhancing AI with Reliable Memory and Context
Super Agent Stack is an AI framework designed to solve core challenges in AI systems—memory, reliability, and hallucinations—by integrating a personal RAG (Retrieval Augmented Generation) memory system. Built for developers and teams, it enables AI applications to retrieve and reference user-uploaded documents with citations, ensuring grounded, accurate, and hallucination-free responses. Compatible with the OpenAI SDK, it supports over 100 AI models via OpenRouter, including GPT-5.1, Claude, Gemini, and Llama, and offers fast, edge-deployed responses with sub-200ms latency. With features like file uploads, semantic search, and API integration, it's ideal for building intelligent, context-aware applications with consistent performance.
Key Features:
- Personal RAG Memory: Stores and retrieves context automatically using vector search for grounded responses.
- Zero Hallucinations: Answers are citation-backed and grounded in the user's personal knowledge base.
- 100% Reliable Responses: Built-in validation ensures consistent and accurate outputs.
- Multi-Model Support: Compatible with GPT-5.1, Claude, Gemini, Llama, and over 100 other models via OpenRouter.
- Edge Runtime Deployment: Global CDN ensures sub-200ms response times.
- OpenAI-Compatible API: Requires only a baseURL change to integrate with existing OpenAI SDKs.
- File Upload & Knowledge Base: Supports PDF, Word, text, Markdown, code, JSON, CSV, XML, and YAML files.
- Semantic Search & Citations: Uses semantic search to retrieve relevant content and includes metadata about sources.
- API Endpoints: Includes chat completions with RAG-enhanced responses and supports streaming.
- Authentication & Security: Secure API keys and encrypted, isolated file storage per user.
- Developer Tools: Documentation, guides for Next.js and Python, and production deployment examples.
- Dashboard & Playground: Web interface for testing and managing RAG memory, knowledge, and activity.
Pricing: Super Agent Stack offers a freemium model with four tiers: Free (500K tokens/month, 10 requests/min), Pro ($19/month, 5M tokens, 100 requests/min), Premium ($99/month, 30M tokens, 500 requests/min), and Enterprise ($299/month, 100M tokens, 1000 requests/min with SLA and custom integrations).
Conclusion: Super Agent Stack is a powerful, developer-focused AI framework that enhances AI applications with reliable memory, context-aware responses, and seamless integration. Its robust features and flexible pricing make it an ideal choice for building intelligent, trustworthy AI systems at scale.
