Associative memory via Hebbian learning. Connections strengthen through use, decay through disuse.
Free account. Installing gives you the manifest plus copy-paste snippets.
See reviewsImported from the official MCP registry - entry
io.github.For-Sunny/hebbian-mind-enterprisev2.3.2. Ratings and installs below are from this marketplace.
Associative memory via Hebbian learning. Connections strengthen through use, decay through disuse.
hebbian-mind-enterprise @ 2.3.2Source: https://github.com/For-Sunny/hebbian-mind-enterprise
Registry entry: io.github.For-Sunny/hebbian-mind-enterprise
Copy one of these into your project. Installing also returns the manifest and these snippets.
targets:
- https://api.opensmartroute.ai/api/v1/registry/mcp-io-github-for-sunny-hebbian-mind-enterprise/manifest # or paste the manifest belowAn Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.
{
"ocm": "1",
"id": "mcp-io-github-for-sunny-hebbian-mind-enterprise",
"kind": "tool",
"name": "Hebbian Mind",
"description": "Associative memory via Hebbian learning. Connections strengthen through use, decay through disuse.",
"publisher": "For-Sunny",
"version": "2.3.2",
"capabilities": {
"domains": [
"general"
],
"tags": [
"mcp",
"mcp-server",
"pypi",
"mcp-registry"
],
"languages": [
"en"
]
},
"quality_prior": 0.6,
"examples": [
"Associative memory via Hebbian learning. Connections strengthen through use, decay through disuse."
],
"primary": false,
"metadata": {
"source": {
"provider": "mcp-registry",
"repository": "https://github.com/For-Sunny/hebbian-mind-enterprise",
"path": "server.json",
"ref": "2.3.2",
"url": "https://github.com/For-Sunny/hebbian-mind-enterprise",
"key": "io.github.For-Sunny/hebbian-mind-enterprise",
"registry": "https://registry.modelcontextprotocol.io"
}
}
}Fetch it by URL: GET /api/v1/registry/mcp-io-github-for-sunny-hebbian-mind-enterprise/manifest?version=2.3.2
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