Bring the same memory to every AI agent.
Dijin gives Claude, ChatGPT, Cursor, Zed, and future agents a shared memory layer — owned by the user, scoped by permission, and backed by evidence.
Lock B partner status
Every answer Dijin returns to a partner client is cryptographically signed. Below is which clients are at which Phase of the partner trust chain.
| Client | Phase |
|---|---|
| Claude Desktop | Phase 1, Signed Footer |
| ChatGPT (Desktop) | Phase 1, Signed Footer |
| Cursor | Phase 1, Signed Footer |
| Zed | Phase 1, Signed Footer |
| Continue | Phase 1, Signed Footer |
| Gemini (CLI) | Pending |
Partner clients are listed only after at least one successful evidence-bearing round-trip against mcp.dijin.co/mcp, no aspirational logos.
What your AI can ask
13 tools available over the Model Context Protocol (MCP).
searchMemoryagents.tools.searchMemory
agents.tools.searchMemoryDesc
listEntitiesList people and topics
See who and what your memory mentions.
getDailySummaryDaily summary
A concise recap of any day.
getWeeklyReviewWeekly review
What stood out across the week.
listActionItemsAction items
Tasks and follow-ups your AI can act on.
getDecisionsDecisions made
What was decided, when, and by whom.
getConflictsConflicts and contradictions
Surface where memory disagrees with itself.
getAuditLogAudit log
Every AI access is logged for you to review.
whoamiIdentity
Confirms which account the AI is connected to.
Five lines to connect Claude.
Add this to your Claude Desktop config and Dijin becomes a memory provider.
~/Library/Application Support/Claude/claude_desktop_config.json{
"mcpServers": {
"Dijin": {
"url": "https://mcp.dijin.co/mcp",
"transport": "sse"
}
}
}Why agents need a memory layer
Every AI agent has a different view of your work. Claude may know the discussion. Cursor may know the code. GitHub may know the commit. Teams may know the meeting. None of them should become the owner of your memory.
- one memory the user owns
- one permission model
- one evidence trail
- one audit log
- one portable DMF export
Agent-to-agent memory, without agent-to-agent leakage
Dijin does not make agents pass private context directly to each other.
Agent A proposes memory to Dijin.
Dijin verifies, scopes, and stores it with evidence.
Agent B recalls the approved memory later.
The user can inspect, revoke, or export everything.
Why Dijin and not a vector database?
Open standard, not a black box
DMF is published, versioned and portable. Your AI can switch tools without losing memory.
Evidence on every answer
Each result links back to the source moment, your AI can show its work.
You stay in charge
Every connection is consent-based. Every access is logged. Revoke at any time.