The shared memory layer for your AI and your team.
The shared memory layer for your AI and your team.
Stop your team from starting from scratch with every AI session.
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For developers
Architecture
One vault.
Every agent in sync.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 Stop worrying about scattered Markdown files or out of date local projects.
- Share memories across your organization, forever
- Reduce overall context load of every AI request
- Stop managing mountains of scattered Markdown files across projects
- Bring your own AI client, no vendor lock in
- Single sign on through major providers
- 1 seat
- Single default group
- 50 memories to test the workflow
- Core MCP and API access Start trial
- 1 seat
- Single default group
- 500 memories
- Full MCP and API access
- Built for one operator, consultant, or founder Start solo
- 10 seats
- 15 groups
- 2,500 memories
- 15,000 monthly queries
- Member management and workspace controls
- Shared memory collections across your organization Start with your team
- 20 seats
- Unlimited groups
- Unlimited memories
- Unlimited monthly queries
- Data export
- Procurement, onboarding, and security review support
Core
ContextVault
Claude
Copilot
ChatGPT
Ollama
Support
Why teams rely on ContextVault
Fully featured, close the gaps, skill-up your teams.
| Capability | ContextVault | Local AI Memory | Prompt Docs | | ------------------------------------------- | ------------ | --------------- | ----------- | | Shared across teams | | | | | Works across AI tools | | | | | Centralized organizational storage | | | | | Searchable historical solutions | | | | | MCP compatible | | | | | Built for long-term organizational learning | | | |
Most AI tools help individuals work faster. ContextVault helps organizations retain and reuse what they learn.
Dash indicates partial or limited functionality.
Ecosystem
Works with your favorite AI clients and editors
Bring your favorite AI client, no vendor lock-in here.
| Platform | Status | | ----------------------------------------------------------------- | ---------- | | OpenAI Codex | Compatible | | OpenAI Desktop / ChatGPT | Compatible | | Claude Code | Compatible | | Claude Desktop | Compatible | | Microsoft CoPilot | Compatible | | Microsoft CoPilot Desktop | Compatible | | Google Gemini | Compatible | | VSCode, Cursor, Windsurf, Microsoft Visual Studio, Jetbrains IDEs | Compatible | | Google Gemini Desktop | Planned | | Other MCP compatible clients | Compatible |
Product
Turn good answers intoreusable knowledge
Durable memory, shared across every AI client your team uses.
Persistent memory
Memories stay durable across sessions, agents, and model vendors.
Hybrid retrieval
Vector and full-text ranking in one query, tuned for code and ops recall.
Works with your AI clients
Connect Claude, Codex, ChatGPT, and any MCP-compatible client to the same shared memory layer.
Group-scoped access
Keep memories visible to the right team, department, or project group without leaking context everywhere.
Access-controlled memory
User, group, and organization scoping with audit trails and database-level isolation.
Context that survives sessions
Carry important decisions, fixes, preferences, and lessons forward even when chats, projects, or tools reset.
Pricing
Priced to scale with your team
Start with a time-limited trial, then upgrade to meet your needs.
Free trial
$0/7 days
Solo
$9.99/mo
Most Popular
Team
$49.99/mo
Enterprise
Custom
FAQ
Answers before you have to ask
Short answers about how ContextVault works.
What is ContextVault?
Does it work with multiple models and providers?
How is memory scoped?
How long does integration take?
Is there a free plan?
How do security and tenant isolation work?
Can I migrate from another vector store?
Can I use ContextVault on multiple machines?
Does ContextVault train AI on my data?
Give your AI a memory it deserves
Start storing shared memories today. Private beta, free to start.