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Beta — Limited Early Access

Synthesize your knowledge.
Feed your AI.

Copy-pasting context into Claude, ChatGPT, or Gemini is slow, unsafe, and token-blind. Mesh assembles a reusable stack from your knowledge sources and scans for secrets before anything leaves your machine.

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Stop Fighting Your Context Window

Every time you assemble a prompt manually, you're fighting the same five problems.

No repeatable context process

Every session starts from scratch. Hunting the same files, re-pasting the same Notion pages, hoping you didn't miss anything. There's no saved process, no consistency, and no way to know if this prompt matches the last one.

Mesh stacks are saved and reusable. Build once, reuse across sessions - same sources, same structure, every time.

Token limit overflows

You have no visibility into how much context you're sending until the API rejects your request or you get a truncated response.

Mesh shows real-time, model-aware token counts before you export.

Accidental secret leakage

API keys, PII, and internal file paths silently slip into prompts sent to public LLM APIs — without any warning.

Mesh's Privacy Scanner detects and replaces sensitive tokens before export.

Stale context

Files added to a prompt are snapshots. By the time you send the request, the code or document may have changed.

JIT reading fetches content at assembly time, with reload on demand.

Degraded context mid-conversation

As conversations grow, LLMs silently compress earlier context to fit the window - leading to errors, hallucinations, and contradictions you can't easily trace

Your Mesh stack is always ready to reassemble. When context drifts, reset with a fresh, precise payload in a few clicks - no rebuilding from scratch.

How It Works

From source to export in four steps.

01

Connect your sources

Link your Notion workspace, point Mesh at local directories with glob patterns, or pull from your saved Context Blocks library. All sources are readable on demand.

02

Assemble your stack

Drag items into The Stack, reorder them, pin the ones you always need, and remove anything stale. Every item is fetched just-in-time, always the latest version.

03

Check token limits

The model-aware token counter updates live as you add and remove items. Trim in the Output Editor until you're comfortably within your target model's limit.

04

Secure export via Exit Gate

Before anything leaves your machine, the Privacy Scanner checks for secrets, PII, and internal paths. The Exit Gate blocks unsafe exports. Clean context lands in your LLM client.

Ready to stop fighting your context window?

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Everything You Need to Build Perfect Context

Mesh handles the entire context workflow — from ingestion to secure export.

Multi-Source Ingestion

Connect Notion databases, glob local files from your filesystem, and pull from your saved Context Blocks library. One unified assembly area for all your knowledge sources.

Built For Your Team

Mesh fits into how your team already works with AI.

Product Managers

You're wasting hours copy-pasting from Notion into AI tools just to hit token limits. Mesh automatically bundles your specs and research into perfect feature briefs.

Developers

Stop feeding your LLM stale, copy-pasted code. Glob local files just-in-time and give your AI the exact context it needs - fresh files, right-sized for the model.

Security Teams

Hoping your team won't paste API keys into ChatGPT isn't a strategy. The Privacy Scanner detects and masks sensitive data before anything leaves your machine.

Startup Founders

You're rebuilding the exact same context stack for every AI session. Save your core company knowledge once and instantly reuse it for investor updates, pitches, and product planning.

Agencies

Juggling multiple clients means constant context switching and data-leak anxiety. Keep each client's context isolated, clean, and ready to reuse - no cross-contamination.

Limited Beta

Your Context. Under Control.

Mesh is in limited beta. Early members get free access and a tool that makes context control effortless.

  • Free during beta
  • Direct access to the founding team
  • Your use case shapes what we build next
Request Early Access