Give your AI agents
a brain they can keep.
MindVault is persistent, shared memory infrastructure for AI agents. Your agents remember context across sessions, tools, and teams — no more starting from scratch every conversation.
Trusted by teams building with
Why MindVault
Memory that works as hard
as your agents
Context is the difference between an agent that frustrates and one that feels like a real teammate. MindVault gives your agents that edge.
Persistent across sessions
Memories survive restarts, model swaps, and platform changes. Your agent picks up exactly where it left off — every time.
Shared team memory
Multiple agents in the same namespace share context. Onboard a new agent instantly — it already knows your stack, your team, your preferences.
Platform agnostic
Simple REST API + SDK. Works with OpenClaw, LangChain, AutoGen, CrewAI, raw OpenAI, or any custom stack. Integrate in minutes.
Semantic search built-in
Don't just store — retrieve. MindVault indexes memories with vector embeddings so your agent always finds the most relevant context fast.
Fine-grained access control
Namespaces, API keys, and memory visibility levels (public / private / shared). Your agents only see what they're supposed to.
Usage analytics
See what your agents remember, how often they retrieve it, and how memory evolves over time. Full audit log included.
How it works
Up and running in minutes
No infrastructure to manage. No vector database to set up. Just a clean API your agents love.
Create a namespace
Sign up and create a namespace for your project. Think of it as your agent's workspace — isolated, secure, and shareable with your team.
POST /namespaces
{
"name": "my-project",
"description": "Customer support agents"
}Register your agents
Add agents to your namespace and get API keys. Each agent gets its own identity, with the ability to share context across the namespace.
POST /namespaces/{id}/agents
{
"name": "support-bot",
"description": "Tier-1 support agent"
}
→ { "apiKey": "ams_xxxx" }Push and pull memories
Your agent pushes memories after each session and retrieves relevant context at the start of the next. Simple REST API or our one-line SDK.
// Push
PUT /memories { "content": "...", "type": "summary" }
// Retrieve (semantic search)
GET /memories/search?q=user+preferences&limit=5Testimonials
Loved by agent builders
From solo hackers to enterprise teams — everyone's tired of stateless agents.
“We plugged MindVault into our support pipeline and our agent's first-contact resolution jumped 40%. It finally remembered what customers told it last week.”
Sarah Chen
Head of AI, Lumen AI
“I've tried three other 'memory' solutions. All of them were just wrappers around a Redis cache. MindVault actually understands context — the semantic search is a game changer.”
Marcus Webb
Founder, AutoStack
“Our agents share a namespace across three time zones. They hand off context seamlessly. It's like they're actually a team now.”
Priya Nair
CTO, Orbit Labs
“Setup took literally 10 minutes. I had our LangChain agent pushing and pulling memories before my coffee was cold. The docs are excellent.”
James Kowalski
Senior ML Engineer, Peel
“The access control model is exactly what we needed. Each client gets their own namespace, agents only see what they should, and the audit log keeps compliance happy.”
Amira Osei
Platform Lead, Centify
“We went from 'our agent forgets everything overnight' to 'our agent knows our product better than our junior devs'. Not an exaggeration.”
Tobias Kraft
AI Product Manager, Hive
Pricing
Simple, transparent pricing
Start free. Scale as your agents do. No surprise bills.
Hobby
Perfect for side projects and personal AI agents.
- 1 namespace
- 3 agents
- 10,000 memories
- Semantic search
- REST API + API key auth
- Community support
- Team sharing
- Audit log
- SLA
- Priority support
Pro
For small teams shipping production AI agents.
- 5 namespaces
- Unlimited agents
- 500,000 memories
- Semantic search
- REST API + API key auth
- Cross-namespace read permissions
- Audit log
- Email support
- Custom SLA
- On-prem option
Enterprise
For teams with custom data residency, SLAs, and compliance needs.
- Unlimited namespaces
- Unlimited agents
- Unlimited memories
- Semantic search
- REST API + API key auth
- Cross-namespace read permissions
- Full audit log
- Custom SLA
- On-prem / VPC deployment
- Dedicated Slack channel
- SSO / SAML
All plans include 99.9% uptime SLA, daily backups, and zero cold-start latency.
A memory is any piece of text your agent wants to persist — a user preference, a decision, a summary of a past conversation, a learned fact. You categorize them by type (summary, context, fact) and visibility (public, private, shared). MindVault stores them, indexes them with vector embeddings, and makes them retrievable via semantic search.
You could roll your own — but you'd need to set up Postgres + pgvector, write embedding pipelines, manage API keys per agent, build a namespace/org model, handle memory expiry, and maintain it all. MindVault is that infrastructure, done right, as a managed service. Most teams go from idea to production in under an hour.
Anything that can make an HTTP request. We have first-class support for OpenClaw (one-command install), LangChain, AutoGen, and CrewAI. We're shipping official SDKs for Python and Node.js in Phase 2. If you use raw OpenAI Assistants or a custom stack, the REST API works perfectly.
No. Namespaces are fully isolated at the data layer. Your agents only ever access memories within namespaces they're authorized for. Cross-namespace read permissions are explicit and opt-in. Enterprise plans support dedicated VPC or on-premises deployments for complete isolation.
We'll notify you before you hit the limit. Once you exceed it, new writes will be soft-blocked and we'll ask you to upgrade or prune old memories. We won't silently delete your data. You can also set automatic expiry policies per memory type to manage limits proactively.
Yes — that's one of MindVault's core features. Agents in the same namespace can read public and shared memories from each other. This enables powerful patterns like a team of specialized agents that all share product knowledge, or an agent that hands off context to another mid-workflow.
On Enterprise plans, yes. We can provide Docker Compose and Kubernetes manifests for on-prem or VPC deployments. The core API is built on .NET 8 + Postgres + Redis, so it runs anywhere. Reach out via the contact form for details.
We're currently in private beta. Early access is available by request — sign up via the contact form and we'll get you onboarded personally. General availability is planned for Q1 2025.
Get early access
Ready to give your
agents a memory?
We're onboarding early teams personally. Drop us a note and we'll get you set up — usually within 24 hours.
Fast onboarding
Personal setup call + full docs. Go live the same day.
Your data stays yours
Fully isolated namespaces. GDPR-friendly. No training on your data.
Direct access to founders
Early customers get a dedicated Slack channel with the team.