Last updated: 2026-07-01
Hyper is a YC Spring 2026 AI context infrastructure tool that runs background agents to read connected apps like Notion, Slack, and GitHub, then injects the synthesized knowledge into Claude, Cursor, and Codex through an MCP server. It targets AI-first teams juggling multiple AI tools at once.
About Hyper
Hyper is an AI context infrastructure tool built by Shalin Shah and Kanyes Thaker, both UC Berkeley graduates and former Matic Robots engineers, backed by Y Combinator's Spring 2026 batch. It addresses a problem every AI-first team hits: every time you switch AI tools or start a new conversation, the AI has no memory of your company's context, decisions, or current state. The result is constant context pasting, repeated explanations, and inconsistent outputs across Claude, Cursor, Codex, and ChatGPT. Hyper solves this with background agents that silently read every update in your company's tools, including Notion documents, Slack messages, GitHub pull requests, emails, calendar invites, and CRM entries. Agent-driven algorithms then synthesize, deduplicate, and clean all of that information into a real-time shared knowledge base. That knowledge base is then injected into every AI tool your team uses via an MCP (Model Context Protocol) server, so Claude, Cursor, Codex, and ChatGPT all receive the same accurate company context on every chat turn without any manual prompting. The platform is best suited to AI-first teams of 2 to 50 people who run multiple AI coding, writing, or research tools in parallel. Engineering leads and CTOs benefit most: instead of every engineer pasting the same context about architecture decisions or sprint goals into their AI tools, Hyper distributes that knowledge automatically. Founders and operations managers also benefit when they need consistent AI outputs across functions without enforcing a specific prompt library. Hyper connects via one-click OAuth or API key authentication, covering Gmail, Slack, HubSpot, Shopify, Notion, GitHub, and more. As of May 2026, the platform is in early access with pricing not yet publicly announced. The founding team brings strong product and robotics engineering credentials, and the two-person team has been friends since their first day at UC Berkeley. Because Hyper operates with broad read access to company communications and documents, teams should evaluate data handling and access controls carefully before connecting production systems. No public compliance documentation is available at this stage.
Pricing
Early access available as of May 2026; pricing not publicly announced. YC Spring 2026 pre-seed stage. Contact team at kt@heyhyper.ai for access.
Key Features
- Silent Context Aggregation: Background agents continuously read Notion docs, Slack messages, GitHub PRs, emails, and calendar invites, synthesizing updates into a shared company knowledge base without requiring any manual input from team members.
- MCP Server for AI Tool Injection: Hyper ships an MCP (Model Context Protocol) server compatible with Claude, Claude Code, Cursor, Codex, ChatGPT, and any MCP-compatible client, injecting company context into every chat turn automatically.
- 160+ Native Integrations: Connects to over 160 verified business tools via one-click OAuth or API key, including Gmail, Slack, HubSpot, Shopify, Notion, and GitHub, covering email, CRM, project management, and code review pipelines.
- Agent-Driven Knowledge Synthesis: Automated algorithms deduplicate, conflict-resolve, and update information across connected tools in real time, so the shared brain reflects the current state of the company rather than stale or contradictory snapshots.
- Zero-Setup Context Injection: No prompts, templates, or configuration required after initial tool connections; Hyper silently infuses the right context into AI tools on every chat turn, making every AI workflow immediately smarter.
Pros
- Eliminates the most common AI workflow friction point: zero context paste-ins needed, replacing a manual step that teams repeat dozens of times per day across Claude, Cursor, and Codex.
- MCP-native from day one, meaning it plugs into Claude Code, Codex, and all major MCP-compatible AI clients without custom API integrations or middleware.
- Every connected tool joins in one pass instead of the piecemeal setup solutions like Notion require, since Hyper's OAuth and API-key connections cover email, CRM, docs, and code review in a single flow.
Cons
- Two-person team at pre-seed stage means reliability, uptime guarantees, and enterprise support SLAs are absent; not appropriate for teams with strict availability requirements.
- Broad read access to email, Slack, CRM, and GitHub raises meaningful data privacy and security questions for teams handling sensitive client data or operating in regulated industries.
- Pricing not yet announced; teams adopting Hyper during free early access face the risk of a significant cost shift when paid plans launch post-YC batch.
Product Information
- Cloud
- Yes
- Self-Hosted
- No
- On-Premise
- No
- Languages
- English
- Training
- In-app onboarding, Documentation
Frequently Asked Questions
What are Hyper's pricing plans in 2026?
Hyper is in early access as of May 2026 with pricing not yet publicly announced. Access requires contacting the team directly at kt@heyhyper.ai rather than self-service signup. As a YC Spring 2026 pre-seed company, expect paid plans once the batch ends.
What do you get on Hyper's free tier?
Everything Hyper currently does, since early access carries no charge and no published limits: the full connector set, the background aggregation, and MCP injection into Claude, Cursor, and Codex. Getting in means emailing the team rather than signing up. Treat the free period as a trial that ends when the company starts metering.
What should you use instead of Hyper?
Notion is the closest comparison: it stores company knowledge in a workspace people write and organize by hand, but it does not automatically inject that knowledge into AI tools. Hyper instead reads its connected tools in the background and pushes the synthesized context into Claude, Cursor, and Codex without any manual curation. For teams that only need a single AI tool to stay current, a dedicated project-memory feature inside that tool may cover the same need without adding another integration.
What separates Hyper from Notion?
Notion is a page you and your team fill in by hand; Hyper is a background layer that fills itself in from Slack, GitHub, and email as those tools change. Pick Notion when you want one wiki everyone edits together. Pick Hyper when the goal is keeping Claude, Cursor, and Codex current without anyone touching a wiki at all.
How do you set up Hyper?
Hyper is in early access, so sign-up is not self-service yet. Reach out to the founding team directly at kt@heyhyper.ai to request access. Once connected, the setup is one-click OAuth or an API key per connected tool, covering the same integrations listed above (Gmail, Slack, Notion, GitHub, and more), with no further prompts or configuration needed afterward.
Top Alternatives
- Notion: Notion is a knowledge base your team curates by hand and keeps honest. Hyper skips the curation and pushes what it reads straight into Claude and Cursor.
- Cursor: Cursor is the editor. Hyper is what makes the editor arrive already knowing what your company shipped last week.
- ChatGPT: ChatGPT on its own starts every session cold. Hyper feeds it, and the rest of your AI tools, the current state of the company on every turn.
HokAI guides covering Hyper
- Best Agentic AI in 2026: Pick the Job, Not the Generalist: Manus, Genspark and seven other agentic AI tools compared on GAIA scores, credit costs and price, plus when a narrow vertical agent beats a generalist.