hipercampo

armandojaleo/hipercampo

★ 2 stars Python AI/LLM Updated today

Living, local-first memory for Claude built on hypervectors (VSA) — surprise-gated writing, sleep consolidation, active forgetting, and compositional role queries. MCP server, CPU-only, no embeddings required.

View on GitHub → 🔍 Audit Wallet Slippage →

Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "hipercampo": {
      "command": "uvx",
      "args": [
        "hipercampo"
      ]
    }
  }
}

Or install with pip: pip install hipercampo

README Excerpt

🌍 **Español: [README.es.md](README.es.md)** · You are reading the English version. **A living memory for Claude, built on hypervectors — not embeddings.** Most LLM memories are the same thing: chunk text, turn it into dense vectors, and retrieve the closest ones (ANN / top-k). That measures *similarity*, but not

Topics

associative-memoryclaudecognitive-architecturehyperdimensional-computingllm-memorymcpmodel-context-protocolvsa

hipercampo

Quick Install

README Excerpt

Topics

Related AI/LLM Servers