Persistent memory for AI agents. Store, recall, and share knowledge across sessions.
Persistent memory for AI agents. Store, recall, and share knowledge across sessions.
Persistent memory for AI agents. Store, recall, and share information across sessions. Works with Claude Code, Cursor, LangChain, CrewAI, and any agent that supports MCP.
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{
"mcpServers": {
"central-intelligence": {
"command": "npx",
"args": ["-y", "central-intelligence-mcp"],
"env": {
"CI_API_KEY": "your-api-key"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| CI_API_KEY | Credential the server authenticates with. | Yes |
| CI_API_URL | Endpoint or connection string the server talks to. | Yes |
| DATABASE_URL | Endpoint or connection string the server talks to. | Yes |
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
Store entities, relations and observations in a local knowledge graph with the reference Memory MCP server.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Semantic memory for AI agents with hybrid search, knowledge graph, and consolidation
Confluent MCP Server
A Model Context Protocol (MCP) server that provides tools for searching YouTube videos, retrieving transcripts, and performing semantic search over video content.
Semantic search through Dickens' A Christmas Carol by meaning, theme, or character.