Organizational memory infrastructureThe memory layer
The memory layer
your AI agents
are missing.
Cursor forgets your architecture decisions between sessions. Claude re-derives context you already gave it yesterday. Zdravo is the MCP-native memory layer that persists across every agent, every session — auditable, compliant, live in minutes.
zsh — zdravo mcp
$
- Auditable by design
- PII detection
- GDPR-ready
- Model-agnostic
- MCP-native
The Brilliant Stranger Problem
Every AI session starts from zero. Your agents don't know your org's decisions, your team's context, or your institutional knowledge. They reconstruct it from scratch — every time — burning tokens and losing precision.
Without Zdravo
- Agent re-reads 200 documents to answer one question
- Context window fills with repeated background
- New team members take months to become effective
- When someone leaves, their knowledge leaves too
- Token costs scale linearly with every session
With Zdravo
- Agent retrieves exactly what it needs in one query
- Context window reserved for reasoning, not re-reading
- New team members inherit the org's full memory from day one
- Knowledge Continuity preserves everything when someone leaves
- Token costs drop as memory grows — inverse scaling
Capabilities
Built for how you think
Capture, organize, and recall every piece of knowledge — automatically.
01
Universal Capture
Browser extension, desktop app, API — memories flow in automatically. Zero configuration required.
02
Semantic Understanding
AI reads your intention, not just keywords. Memories organized by meaning, not tags.
03
Memory Graph
Visualize connections between ideas. Watch your knowledge base grow as a living knowledge graph.
04
Cross-Platform Recall
Search across ChatGPT, Claude, Gemini, Cursor, Notion, Obsidian — all from one place.
05
Smart Connections
Automatically link related memories. Build a web of knowledge without lifting a finger.
06
Private by Design
End-to-end encrypted. Your memories stay yours. SOC2 and GDPR compliant infrastructure.
Memory That Pays for Itself
Every token your AI spends re-reading context is money you're burning on work that's already been done. Zdravo's persistent memory layer eliminates context reconstruction — agents that remember don't repeat.
1020010,000
1k8,000100k
Current monthly cost (context only)
$120
48M tokens/mo
With Zdravo memory
Estimated monthly cost
$72.0
Estimated monthly savings
$48.0
Zdravo Pro ($19/mo) pays for itself in 12 days
Estimates based on typical (60%) context reduction from persistent memory. Actual savings depend on query repetition rate, memory volume, and use case. Token reduction varies — transparent math shown above.
How it works
Three steps. Infinite knowledge.
From raw activity to structured memory in seconds, not hours.
STEP 01
Capture
Browser tabs, API calls, CLI sessions — everything flows in. Zero config, zero friction.
Works in the background while you work.
STEP 02
Organize
AI sorts content into a semantic graph. Related ideas cluster, duplicates fade, importance emerges.
No folders. No tags. Just intelligent structure.
STEP 03
Recall
Ask anything. Get the exact memory + the full context chain that led to it.
ChatGPT-grade search across your entire knowledge base.
10+
Platforms connected
50ms
Avg. search latency
99.9%
Uptime SLA
256-bit
AES encryption
Your terminal, your memory layer
Install the Zdravo CLI and recall memories, manage local models, and run private mode — all from your terminal.
curl -fsSL $https://zdravo.ai/install.sh | bashKnowledge Continuity
Institutional Knowledge That Survives Attrition
The average knowledge worker takes 6-12 months of institutional context with them when they leave. Zdravo captures, preserves, and transfers that knowledge to their successors automatically.
Employee departs
Zdravo captures their memory corpus
Admin designates successors
Knowledge transfers seamlessly
This is not a backup. It is a live transfer of organizational memory — decisions made, context built, lessons learned — preserved in your team's knowledge graph permanently. When someone joins, they inherit the full context from day one.
Built for Enterprises That Can't Afford to Get Memory Wrong
Auditable by Design
Every memory, every retrieval, every agent decision — logged in a tamper-evident hash-chain audit log. Show your auditor exactly what your AI knew and when it knew it.
Compliance-Native
PII detection on every ingestion. Row-level security on every table. Your data is never used to train models. GDPR right-to-erasure built in. SOC 2 Type II in progress.
Model-Agnostic
Bring your own models, your own keys, or use our self-hosted Ollama inference. When the next frontier model drops, your memory stays. The data layer is the product, not the model.
MCP-Native
Production-hardened MCP server. Every major AI development tool — Claude, Cursor, Windsurf — can read from and write to your org's memory in one config line.
Pricing
Simple pricing, real value
Start free, upgrade when you need more. No credit card required to start.
Free
For individuals exploring AI memory.
$0
Start Free- 50 memories/month
- 1 user
- Keyword + semantic search
- Browser extension
- Email support
Pro
For power users who live in AI tools.
$19/mo
Start Free Trial- Unlimited memories
- 1 user
- Advanced semantic search
- Memory graph visualization
- API access
- Export (JSON, Markdown, PDF)
- Priority support
Most Popular
Team
Your team's shared knowledge graph.
$49/mo
Start Free Trial- Everything in Pro
- Up to 5 users
- Shared memory spaces
- Team analytics
- Admin controls
- SSO ready
- Dedicated support
All plans include a 14-day free trial. No credit card required to start.
Estimate your savings
Enter your real monthly LLM spend. The two assumptions below are estimates you control — adjust them to match your own workflow.
Est. monthly savings
$70
Est. annual savings
$840
Formula: spend × redundant-context % × recall-effectiveness %. An estimate based on the assumptions above, not a guarantee — move the sliders to match your own usage.
Works Where You Work
One memory layer. Every platform. CLI, IDE, browser, CI/CD — save and recall from anywhere.
M
MCP Server
Claude, Cursor, Windsurf
N
NPM CLI
Terminal power users
C
Chrome Extension
One-click browser capture
V
VS Code
Editor integration
G
GitHub Actions
CI/CD memory
D
Docker MCP
Self-hosted containers
Frequently asked
Quick answers to common questions.
Is my data private?
Yes. All memories are encrypted at rest using AES-256. We cannot read your content unless required by law or to provide the service you requested (e.g., generating summaries).
Does it work with ChatGPT?
Yes — the bookmarklet captures any ChatGPT conversation in one click.
Is there a free plan?
Yes. Free tier includes 50 memories/month, basic search, and the browser extension.
Can I export my data?
Export in JSON, Markdown, PDF, or Obsidian-compatible format anytime.
Why not just train a model on our data?
Model training on org data has three problems: it's slow (weeks to deploy), it's a black box (hard to audit what the model learned), and it creates GDPR/HIPAA complexity (training on PHI requires extraordinary legal review). Zdravo uses retrieval-based memory instead — your data stays in your database, every access is logged, and you get full auditability without the compliance risk.
What about SOC2?
Zdravo is designed for enterprise compliance requirements. We are actively working toward SOC 2 Type II certification. Our security architecture includes server-side AES-256 encryption, row-level security on all database tables, PII detection, and a complete audit log. Contact us for our security documentation and trust report.