Privacy-First AI Memory: Why Your Data Should Stay Local
Privacy-First AI Memory
Your AI assistant knows a lot about you. Where does that knowledge live?
The Problem with Cloud Memory
Most AI memory solutions send your data to servers you don't control:
This data trains models. Improves products. Generates revenue. For someone else.
What We Believe
**Your agent's knowledge is YOUR intellectual property.**
When an AI learns your coding patterns, that's valuable. When it learns your business logic, that's trade secret. When it learns your preferences, that's personal data.
None of this should leave your hardware without your explicit consent.
How shodh-memory Stays Local
No Network Required
// The entire system runs locally
let memory = Memory::new("./my-private-memory")?;
// No API keys, no cloud endpoints, no telemetry
The binary has zero network dependencies. Air-gapped systems work fine.
No Data Exfiltration
We don't collect:
We CAN'T collect this data. The code doesn't include collection mechanisms.
Auditable
See exactly what's stored
shodh-memory export --format json > my_memories.json
Delete everything
rm -rf ~/.shodh-memory/data
You can inspect, export, and delete your memory at any time.
But What About Cloud AI?
Claude, GPT-4, etc. run in the cloud. How does local memory help?
The MCP protocol separates concerns:
You ←→ Cloud AI ←→ Local Memory
1. You send query to cloud AI
2. Cloud AI requests context from LOCAL memory server
3. Memory server returns relevant memories
4. Cloud AI responds with context
5. Important: Cloud AI never sees ALL your memories
Only what's retrieved for this query
The cloud AI sees query-relevant context, not your entire memory database.
GDPR, HIPAA, SOC2
Local-first memory simplifies compliance:
No third-party DPAs. No cloud provider audits. No cross-border transfer concerns.
The Trade-off
Local memory means:
For most use cases, this trade-off favors local.
Our Commitment
Shodh-memory will always be:
Your memory. Your hardware. Your data.