High Demand · Limited Spots

Unlimited Recall.
Zero Confusion.

Your AI remembers every conversation, every decision, every pivot—organized by project and topic. Not a messy soup of text.

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claude_desktop_config.json
// claude_desktop_config.json
{
"mcpServers": {
"memstate": {
"url": "https://memstate.ai/mcp",
"apiKey": "your-key-here"
}
}
}

One config file. Infinite memory.

Works with any MCP-enabled AI agent

Claude
Gemini
Cursor
Cline
Windsurf
GitHub CopilotGitHub Copilot
GrokGrok
KiloKilo
Kiro
Lovable

Context That Actually Works

Your agent gets exactly what it needs - not a vector soup of loosely related text snippets.

🤔 Agent Query: "What was decided about the auth flow redesign?"

Memstate
memstate context
// Retrieved 3 relevant memories (250 tokens)
📋 Decision project:dashboard
"Switched to passwordless OTP flow using Nodemailer. Removed password fields from User model."
🔗 Related: auth-schema-v2, email-service
⏰ 2 days ago
🔧 Implementation project:dashboard
"OTP model created with 5-minute expiration. Codes are 6 digits, stored hashed."
🔗 Related: models/Otp.ts
⏰ 2 days ago
✅ Testing project:dashboard
"Tested login flow. Email delivery ~2s. Rate limiting: 3 codes per 15min per email."
⏰ 1 day ago
✓ Structured, linked, and chronological

Agent knows exactly what happened

Competitors (mem0)
mem0 context
// Retrieved 15 fragments (1,200 tokens)
"...passwordless authentication using one-time codes sent via email instead of traditional passwords..."
"...User model should not include password field anymore since we're going passwordless..."
"...the dashboard needs better auth we discussed this last week..."
"...Nodemailer configuration for sending emails needs environment variables..."
"...OTP codes expire after some time not sure if 5 or 10 minutes..."
"...email rate limiting to prevent abuse of the system..."
"...testing showed that email delivery takes approximately 2 seconds..."
"...6 digit codes are easier for users to type than longer codes..."
"...authentication flow redesign discussed in multiple meetings..."
⚠ Unstructured text soup - agent must parse and dedupe

Agent wastes time sorting through noise

80%
Fewer Tokens
5x
Faster Parsing
100%
Relevance
Zero
Confusion

Why Memstate?

Traditional RAG systems are dumb pipes. Memstate is an active cognitive layer designed for agentic workflows.

Stop Paying for Wasted Context

Load 80% fewer tokens. Your agent fetches exactly what it needs—not every memory it ever stored.

See What Your Agent Knows

No more guessing. Your agent can list, count, and browse its own memories. Full transparency.

Drill Down to the Exact Memory

Start with summaries. Need more? Get the full content. Stop sifting through 100 similar results.

Track Every Change

Never confuse old facts with new. Full version history shows what changed, when, and why.

Organize by Project, Not Chaos

Separate memories by workspace. Client A never sees Client B data. Built for multi-tenant.

Knows What's Old, What's New

When you pivot, your AI knows. Full version history per topic and project means your agent always uses the latest truth.

Why Developers Choose Memstate

Built for production agents that need reliable, organized, version-controlled memory.

Feature
Competitors
Memstate
Token Efficiency
Agent Control
Retrieval Method
Context Awareness
Version History
Project Scope

Ready to give your agents superpowers?

Join the developers building the next generation of cognitive agents with Memstate.

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