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Ebbinghaus-based persistent memory for Claude. Memories decay with time, strengthen on recall.
io.github.sachitrafa/cognitive-ai-memory is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 67/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding io.github.sachitrafa/cognitive-ai-memory to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
docker run -i --rm ghcr.io/your-memory/cognitive-ai-memory:1.0.2Review the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-03-23T18:11:18.459906Z",
"publishedAt": "2026-03-23T18:11:18.459906Z",
"statusChangedAt": "2026-03-23T18:11:18.459906Z"
}
},
"server": {
"name": "io.github.sachitrafa/cognitive-ai-memory",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "1.0.2",
"packages": [
{
"transport": {
"type": "stdio"
},
"identifier": "ghcr.io/your-memory/cognitive-ai-memory:1.0.2",
"registryType": "oci",
"environmentVariables": [
{
"name": "DATABASE_URL",
"format": "string",
"isRequired": true,
"description": "PostgreSQL connection string with pgvector. Example: postgresql://localhost:5432/yourmemory"
},
{
"name": "OLLAMA_URL",
"format": "string",
"description": "Ollama server URL for local embeddings (nomic-embed-text) and classification (llama3.2:3b). Default: http://localhost:11434"
},
{
"name": "EXTRACT_MODEL",
"format": "string",
"description": "Ollama model used for fact/assumption classification. Default: llama3.2:3b"
}
]
}
],
"repository": {
"url": "https://github.com/sachitrafa/cognitive-ai-memory",
"source": "github"
},
"description": "Ebbinghaus-based persistent memory for Claude. Memories decay with time, strengthen on recall."
}
}