Claude Code Memory.
Every. Single. Session.
Give Claude Code durable memory between sessions: a local SQL database for your decisions, relationships, and working context. The same owned context can support Codex and compatible AI workspaces.
Answer-first
What Claude Code memory needs
CLAUDE.md and AGENTS.md tell a client how to work in a repository. MemoryOS keeps the work itself searchable, structured, and yours between sessions.
| CLAUDE.md | AGENTS.md | MemoryOS | |
|---|---|---|---|
| What it is for | Claude Code instructions | Codex and agent instructions | Durable local memory layer |
| Where it works | Claude Code | Codex and compatible coding agents | Claude Code, Codex, and supported clients |
| What it retains | Rules close to the repository | Rules close to the repository | Decisions, relationships, structured records, and confidence signals |
| Health checks | No workspace health scan | No workspace health scan | Supports Claude Code and Codex workspaces today |
See What Changes
Watch how MemoryOS catches a $3,000 mistake before it reaches your client.
The Hidden Cost of AI Amnesia
You waste 65 hours/year re-explaining context to AI.
At $75/hr, that costs $4,875/year.
That's 8 full workdays per year β gone to re-explaining.
MemoryOS is $199/year.
Your Memory. Your Database.
Your Rules.
14 queryable collections in your local SQL database. Not chat history β structured data with schemas, confidence scores, and full-text search. A local database on your laptop or your own Supabase project. Nothing leaves your computer unless you choose cloud.
What MemoryOS does for $199/year:
Powered by Model Context Protocol
One Command. Permanent Memory.
MCP is the USB port for AI: a standard protocol that connects supported agents to external tools. MemoryOS plugs into that port and gives your workspace a memory layer that persists.
# Add MemoryOS to any MCP client
$ npx @iwo-szapar/second-brain-health-check setup
# Health scanner + monitoring β runs locally
β 45-check health scan across setup, usage, and fluency
β 7 context engineering pattern scores
β Fix suggestions, dashboard, PDF report
# Paid: adds persistent memory (data-mcp)
β 40 MCP tools β knowledge, contacts, sessions, decisions
β Local SQL database on your laptop β or your own Supabase
β Full-text search across everything
Codex
Full MCP support
Claude Code
Full MCP support
Claude Cowork
MCP compatible
Any MCP Client
Standard protocol
Local Scanner + Local Memory.
The scanner finds problems in your setup. The memory tools give your AI workspace persistent memory across sessions, stored in your own local database.
Local Scanner
Runs via npx β zero network calls
Open source. Reads file structure and config only β never your code or documents.
Free
check_healthFREEMulti-dimension scan: setup, usage, fluency, data layer
get_fix_suggestionsFREEPrioritized fixes with time estimates
generate_dashboardFREEHTML dashboard with CE radar chart
generate_pdfFREEPDF report (requires Chrome)
Paid β $199/yr
weekly_pulseScore deltas + CE pattern trends over time
context_pressureToken budget analysis
audit_configDead references, conflicts, security issues
import_contextImport ChatGPT/Claude history
upgrade_brainAI-powered file upgrades
Local Memory
Paid β persistent across sessions & computers
Stored locally in your local database or Supabase. 14 database collections with full-text search.
Daily tools (local memory β data-mcp)
knowledge_storeSave knowledge with confidence scores
knowledge_recallFull-text search with alias expansion (finds "stripe" when you search "payment")
knowledge_learnExtract patterns from experience
knowledge_decideLog decisions with alternatives tracked
Maintenance & growth (local memory β data-mcp)
knowledge_validateMark knowledge as still relevant
knowledge_updateCorrect or refresh existing entries
knowledge_deleteRemove outdated knowledge items
brain_statsSize, coverage, freshness metrics
brain_decayFlag stale knowledge before it hurts
Local tools run via npx with zero network calls. Memory tools store data in your local database or Supabase β your data never leaves your infrastructure.
Real usage β knowledge_learn in Claude Cowork
One message. Stored, tagged, and recallable forever. This is knowledge_learn β a local memory tool stored in your local database or Supabase, available to paid users.
Zero Network Calls (Free)
Scanner runs locally as a subprocess. Your workspace data never leaves your computer.
Token-Based Auth
Paid tools use SBF_TOKEN. No passwords. Set once in your config, works everywhere.
Metadata Only
Reads file structure and config. Never reads your code, emails, or documents.
Your Data, Exportable
Export everything anytime. Cancel and your data stays yours. No lock-in.
Same Prompt. Different Memory.
The difference between an AI workspace with and without persistent memory.
Prompt: "Draft a proposal for my longest-running client"
I don't have information about that client. Could you provide details about the company, your relationship, past interactions, and what services you'd like to propose?
Based on your 3 previous interactions with this client (last: March 3), their CTO's preference for async communication, and your updated Q2 pricing... here's a draft addressing their budget concerns from last quarter.
Prompt: "What did we decide about the pricing change?"
I don't have any record of pricing discussions. Could you share the context?
On Feb 15, you decided to increase consulting rates from $200/hr to $250/hr. Rationale: market rate adjustment + 2 new certifications. You considered $275 but rejected it to keep the anchor client. 3 proposals still reference the old rate β want me to update them?
Prompt: "Prep me for my next client call in 20 minutes"
I'll need some background. Who's the call with? What's it about? What's your relationship history?
Call prep: They're evaluating your Q2 proposal ($45K). Their VP of Ops will be on the call β they pushed back on timeline last time. Key concern: implementation speed. Your advantage: you delivered a comparable Phase 1 in 3 weeks vs their 8-week estimate. Lead with that case study.
Watch Your Brain Health in Real Time
This is a real tool you get β not a mockup. It runs locally on your computer and updates automatically.
No maintenance β brain rot setting in
Context Dashboard
Last audit: Never (no MemoryOS)
Chief of Staff
Quality: 61/100 β’ 12 days ago
Content Pipeline
Quality: 38/100 β’ 45 days ago
Sales Outreach
Quality: 29/100 β’ 60 days ago
Client Proposals
Quality: 55/100 β’ 8 days ago
Research Brief
Quality: 22/100 β’ 90 days ago
Meeting Prep
Quality: 31/100 β’ 35 days ago
Quality Trend β 30 days
30d ago
-59% brain rot
Recommendations (3)
4 assistants critically stale. Knowledge is 60+ days out of date.
Voice patterns not updated since initial setup. Output quality declining.
No new client data imported in 8 weeks. Proposals using outdated context.
One Memory Layer.
Your AI Workspace.
MemoryOS keeps your context in a database you control. Each AI surface connects through its own supported setup.
ChatGPT
Codex and ChatGPT Work. Codex runs the native workspace setup. ChatGPT Work uses the prepared context and connected sources available to it.
ChatGPTClaude
Claude Code and Cowork. Claude Code has the deepest implementation. Cowork uses the connections and local-workspace access available to it.
ClaudeGemini + local agents
Gemini, local models, and compatible agents. The portable repository and local memory remain the source of truth.
Gemini + local agentsThe health check supports Claude Code and Codex workspaces. Other clients use their verified connection path. Your knowledge data stays in your local database or your own Supabase.
How MemoryOS Compares
Feature
MEMORY.md
Free
ClawHub Skills
Free
DIY
Free
Memory APIs
Mem0 / Zep / Letta
MemoryOS
$199/yr
Cloud persistence
Structured types
Full-text + alias expansion
Validation
Decay detection
Health scoring
Benchmarking
Self-serve onboarding
Cross-platform
Feature
MEMORY.md
MemoryOS
Cloud persistence
Structured types
Full-text + alias expansion
Validation
Decay detection
Health scoring
Benchmarking
Self-serve onboarding
Cross-platform
"How do I know if my memory system is good?"
β literal Reddit post title. This is the question nobody can answer except MemoryOS.
What Happens When Your AI Finally Remembers You
Quotes from Second Brain customers. MemoryOS is the memory engine inside every Second Brain.
Gabe Marusca
20+ hrs/week saved
"Before the Second Brain, I spent 30 minutes prepping for every client call β pulling up old notes, re-reading proposals, trying to remember what we discussed. Now I type /prep and get a complete brief with their history, concerns, and my recommended approach. In my voice."
30 min
Before: per call
2 min
After: /prep
93%
Time saved
Sharon Greene
Futurist β Zero technical skills
"I had never opened a terminal before this. Now I type one command and get my email, calendar, and WhatsApp messages in one daily briefing. I genuinely said out loud: one command does all this?"
Wouter van den Bijgaart
AI Developer β Replaced DIY setup
"I built my own system and spent 3 hours a week maintaining it. The Second Brain does the maintenance automatically. The propagation alone saved me from constantly updating my assistants manually."
Shaun Thresher
Marketing Operator β 85% faster
"My first drafts barely need editing anymore. The Brain knows my audience, my themes, and how I structure posts. It went from a starting point I had to rewrite to something I just polish."
Andrew Shaw
Professional β 60% faster output
"Job applications used to take me 30 minutes each. Now the Brain writes them in 12 minutes because it knows my experience, strengths, and writing style."
"I almost didn't buy. I've abandoned Notion, Obsidian, and two 'productivity systems' before this. But MemoryOS was the first one that maintained itself even during a 2-week vacation. I came back and it had kept my context fresh. That's when I knew this was different."
β Client who almost churned (now 6 months in)
Iwo Szapar. Co-founded the AI Maturity Index (acquired by ISG in 2026). 25,000+ professionals trained at Microsoft, Walmart, Deloitte, PwC.
Start Free. Upgrade When
Your AI Remembers You.
Health Check
See where your brain stands
Free forever β no account needed
Multi-dimension brain health scoring
Fix suggestions for every issue
Visual dashboard + PDF report
Works with Claude Code and Codex setups
Standard
Full monitoring + maintenance
Everything in Free, plus:
Full ambient monitoring (4 background loops: Heartbeat, Session Pulse, Drift Watch, Memory Nudge)
Weekly pulse reports with score deltas
Context pressure / token budget analysis
Config audit: dead refs, conflicts, security
Personalized file generation (upgrade_brain)
7 CE pattern tracking over time
All current and future MCP tools
Pro
Monitoring + monthly updates
Your system stays current automatically
Everything in Standard, plus:
Monthly repo updates (new agents, skills, tools)
Priority async support
New integrations as MCP ecosystem evolves
Compatibility patches when Claude Code or Codex changes
Your system improves every month
The real cost of scattered AI
Even conservatively β if MemoryOS saves you just 2 hours per week, and your time is worth $75/hr, that's $600/month in reclaimed time. At $199/year, it pays for itself in less than 2 weeks.
Need the full AI work system? Second Brain gives you 55 skills, 21 agents, and 7 integrations β MemoryOS keeps it all alive.
Get ProNeed MemoryOS for your whole team? Request a Team Brain proposal β
What Happens After You Buy
Confirm
Instant
Confirmation email with setup guide
Setup
~10 min
Install tools and run first health check
Import
~5 min
Feed it your ChatGPT history or Drive
First Win
~2 min
Run /overview β it already knows you