ContextVault – Shared memory layer for your AI and your team
Hi HN, I'm Kevin. I built ContextVault because I kept running into the same problem with AI tools. Every project accumulated prompts, coding conventions, architectural decisions, examples, and other pieces of context that made the models significantly more useful. The problem was that this information quickly became fragmented. Some lived in ChatGPT Projects, some in Claude, some in Markdown files, some in internal documentation, and some only existed in previous conversations. Late last year, I realized several people on our team were solving the same problems independently because previous…
ContextVault – Shared memory layer for your AI and your team launched on July 13, 2026 with 12 votes, #1,321 of 24,623 launches that month and more than 90% of that year's launches.
In plain words
ContextVault is a shared memory layer that centralizes project context for AI tools and teams. It stores prompts, coding conventions, architectural decisions, examples, and other information that typically becomes scattered across ChatGPT Projects, Claude, documentation files, and previous conversations. The platform enables team members to search and access previous work, reducing duplicated effort and making AI models more useful by providing consistent project context across the organization.
written from the facts on this page · September 2026
From the sources
Hi! I'm Kevin, and I built ContextVault after getting tired of maintaining the same AI context in multiple places. ContextVault is a shared repository for reusable AI context that works across ChatGPT, Claude, Codex, Gemini, and other MCP-compatible clients. Store your team's knowledge once, retrieve it anywhere, and stop rebuilding context from scratch every time.
ContextVault stores shared memories once and makes them reusable across your team.
Stop your team from starting from scratch with every AI session. A single source of truth that your AI clients read from and write to. Scoped per user, per agent, per tenant, and durable across sessions. Stop worrying about scattered Markdown files or out of date local projects. Most AI tools help individuals work faster. ContextVault helps organizations retain and reuse what they learn. Durable memory, shared across every AI client your team uses. Memories stay durable across sessions, agents, and model vendors. Vector and full-text ranking in one query, tuned for code and ops recall. Connect Claude, Cursor, Windsurf, Codex, ChatGPT, and any MCP-compatible client to the same shared memory…from contextvault.dev
In the maker’s words, at launch
Hi HN, I'm Kevin. I built ContextVault because I kept running into the same problem with AI tools. Every project accumulated prompts, coding conventions, architectural decisions, examples, and other pieces of context that made the models significantly more useful. The problem was that this information quickly became…
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Source: Show HN post ↗ · launch text quoted in part
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