A biologically-inspired persistent memory system for LLMs, modeled on neuroplasticity, consolidation, and sleep.
A biologically-inspired persistent memory system for LLMs, modeled on neuroplasticity, consolidation, and sleep.
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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 | Ingest conversation text — extracts concepts and relationships via Claude |
| memory_retrieve | Query the graph — returns formatted context with inline connections |
| memory_dream | Run a full dream cycle (NREM + REM + waking + threat) |
| memory_dream_report | Human-readable narrative of the last dream cycle |
| memory_goals | Manage research goals — add, list, or remove |
| memory_status | Graph statistics (node/edge counts, score distributions) |
| memory_stats_detailed | Detailed appraisal breakdown per node, top edges, contradictions, dream edges |
| memory_tune | Adjust parameters at runtime (e.g. dream.rem_jump_probability) |
{
"mcpServers": {
"neuroplastic-memory": {
"command": "/absolute/path/to/mind/.venv/bin/python",
"args": ["-m", "mind"],
"cwd": "/absolute/path/to/mind",
"env": {
"PYTHONPATH": "/absolute/path/to/mind/src"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| PYTHONPATH | Python module search path for a local installation. | Optional |
| ANTHROPIC_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.
Hosted at [maker.mcp.junct.dev/mcp](https://maker.mcp.junct.dev/mcp). Free to use. No auth. No API key required.
Build searchable AI research knowledge bases with hybrid vector search directly in Claude Desktop.
This is a Model Context Protocol (MCP) server implemented in Go, providing a tool to analyze Go pprof performance profiles. Built with the official
Search your knowledge bases from any AI assistant using hybrid RAG.