Long-term memory system for AI agents with semantic search, context management, and multi-format storage.
Long-term memory system for AI agents with semantic search, context management, and multi-format storage.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| memory_store | Persist a memory (auto-BND evaluated) |
| memory_recall | Search memories (BM25+FAISS hybrid) |
| memory_context | Build LLM context window |
| memory_update_confidence | Adjust memory confidence |
| memory_delete | Remove a memory |
| memory_stats | System statistics |
| bnd_check | 4D boundary evaluation (TRJ/EVO/COG/BALANCE + Anti-Chain) |
| bnd_stats | BND manager stats: acceptance rate, scores, anti-chain triggers |
| deduce | Cognitive deduction: pattern extraction from high-quality memories |
{
"mcpServers": {
"mindcore-memory": {
"command": "python",
"args": [
"-m",
"mindcore_memory.server"
],
"env": {
"MINDCORE_MEMORY_PATH": "~/.mindcore/memory"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| MINDCORE_MEMORY_PATH | Declared in the maintainer’s client configuration. | Check documentation |
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