
Shared memory and context hub for AI tools
By Tanmay Verma, Founder · Last verified 06 Jul 2026
In short
Hyper: Self-driving Company Brain — Shared memory and context hub for AI tools. Best for Teams using multiple AI agents, Startups building AI-native workflows, Knowledge managers tired of manual wikis. Free to start; paid plans from $19/mo.
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Hyper fills a real gap for teams drowning in fragmented AI contexts. While still early-stage with limited enterprise controls, its self-driving approach is genuinely novel. Worth trying if you use more than two AI tools daily.
Compare with: Hyper: Self-driving Company Brain vs Obviously AI, Hyper: Self-driving Company Brain vs Truleo, Hyper: Self-driving Company Brain vs Gem
Last verified: July 2026
How likely is Hyper: Self-driving Company Brain to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Hyper is a self-driving company brain that provides a shared memory and context layer for all AI tools in an organization. It automatically captures, organizes, and connects knowledge from across teams, enabling AI agents and employees to access the same up-to-date information without manual tagging or folder structures. Targeted at startups and mid-market teams using multiple AI tools, Hyper aims to solve the fragmentation problem where each AI tool has its own isolated memory. It acts as a central repository that syncs with integrations like Slack, Notion, Google Drive, and CRMs, extracting entities and relationships automatically. What makes Hyper different is its self-driving nature: it learns from usage patterns and surfaces relevant context proactively, rather than requiring users to manually curate a knowledge base. It integrates with existing workflows via APIs and plugins, promising more coherent AI interactions across different tools. For power users, Hyper offers a graph-based view of connected knowledge, but its main promise is zero setup. The company brain updates automatically as new data flows in, aiming to reduce hallucination and improve consistency in AI outputs.
Hyper is a promising solution for a very real problem: the siloing of information across modern toolchains. Its 'self-driving' pitch — automatic capture and reasoning — is compelling for teams that are tired of manually maintaining wikis. The graph-based knowledge representation is a plus for power users who want to see relationships. However, Hyper is still early. The free plan is quite limited, and the product lacks deep integrations with legacy enterprise systems. If you're a small, AI-forward team, it's worth a trial. For larger orgs, wait for more robust security and admin features. As of mid-2026, we see it more as a complementary layer to existing knowledge bases rather than a replacement.
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