Your context headquarter for AI agents and LLMs, keeping all your information self-updating and accessible.
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Tracked since2026
0 reviews trackedThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Keeps AI agents and LLMs consistently up-to-date with relevant information.
Biggest con
Requires initial setup to connect all data sources.
TL;DR - Unabyss
- Centralizes and updates context from all your apps for AI agents and LLMs.
- Segments and filters information for relevant and efficient retrieval by AI.
- Integrates with popular AI tools and applications to provide always up-to-date context.
Pricing: Free plan available
Best for: Growing teams
What is Unabyss?
Unabyss is a context management platform designed to solve the problem of fragmented and outdated information across various applications and AI tools. It acts as a central hub that connects to hundreds of your daily-use applications, extracts data, segments it, and prepares it for retrieval by AI agents and Large Language Models (LLMs).
The platform ensures that AI tools like Claude, Gemini, and ChatGPT always have access to the most current and relevant information, eliminating the need for manual context feeding. It's built for a wide range of users, including developers, founders, investors, marketers, and GTM engineers, enabling them to leverage their collective knowledge base effectively across all their workflows and AI interactions. Unabyss aims to make AI truly productive by providing clean, scoped, and up-to-date context, enhancing efficiency and reducing 'context chaos'.
Available on: Web
Pros & Cons
Pros
- Keeps AI agents and LLMs consistently up-to-date with relevant information.
- Reduces token usage and improves retrieval efficiency for AI models.
- Offers granular control over what information AI can access.
- Supports a wide array of integrations with common productivity and development tools.
- Simple pay-as-you-go pricing with a free credit to start.
Cons
- Requires initial setup to connect all data sources.
- Reliance on integrations means new apps might not be immediately supported.
- Users need to understand context segmentation and permission settings for optimal use.
Key Features
Hundreds of integrations for data extractionSelf-updating context for AI agents and LLMsContext segmentation by topic, confidence, sensitivity, source, and personal/professional axesEfficient retrieval with up to 10x fewer tokensGranular permission layers (exclude private, confidential, or entire apps)MCP (Multi-Context Protocol) for universal context accessPay-as-you-go pricing model
Pricing
Freemium
Unabyss offers a generous free tier with optional paid upgrades for advanced features.
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Unabyss FAQ
How does Unabyss ensure my private or confidential information isn't exposed to AI models?
Unabyss implements a robust permission layer that allows users to define four toggleable scopes for retrieval: no restriction, exclude private information, exclude company confidential, or exclude an entire source application. These filters are applied at retrieval time, ensuring that blocked context never reaches the AI model, even partially.
What is MCP and how does it enable universal context access for AI agents?
MCP stands for Multi-Context Protocol. It's a mechanism that allows AI agents and LLMs to instantly access up-to-date context from Unabyss with a single install command. By plugging agents like Claude Code or Perplexity via MCP, they are continuously fed the most current and relevant information managed by Unabyss.
How does Unabyss improve the efficiency of AI models compared to standard RAG (Retrieval-Augmented Generation)?
While standard RAG often dumps loosely-matched chunks into the prompt, Unabyss scores and extracts only the specific lines that directly answer the question. This results in the same response with up to 10 times fewer tokens, making AI interactions cheaper, faster, and reducing 'context-rot' in the model.
Can I control which specific applications or types of data Unabyss integrates with?
Yes, Unabyss allows you to pick and choose which sources to omit from its context collection. You can also generate tokens for specific MCP hosts and choose access levels on a granular item-level or topical/confidence level, ensuring only desired data is processed and made available.
What kind of users would benefit most from using Unabyss?
Unabyss is designed for a diverse range of professionals who frequently interact with AI agents and LLMs across various platforms. This includes builders/vibe coders using coding agents, founders and investors needing up-to-date company context, marketers generating on-brand copy, and GTM engineers tailoring offers based on call notes, among others.
Source: unabyss.com