Authority-weighted memory graph for AI agents with conflict detection and semantic search.
This server has been archived and is no longer actively maintained.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-retrorobai-mcp-memory-graph": {
"args": [
"mcp-memory-graph"
],
"command": "uvx"
}
}
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A context-aware memory MCP server for Claude Code and any MCP-compatible AI agent.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
uvx 'mcp-memory-graph' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
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A context-aware memory MCP server for Claude Code and any MCP-compatible AI agent.
Goes beyond basic vector search by adding authority weighting, conflict detection, and typed relationship edges between memories — so your agent always retrieves the right answer when sources disagree.
Inspired by the context engine architecture described in Unblocked's "How a Context Engine Actually Works".
Standard memory MCP servers store and retrieve memories by semantic similarity. That works until you have conflicting memories — an old instruction saying one thing and a new one saying another. Without authority weighting, the agent retrieves whichever is semantically closer to the query, not whichever is more trustworthy.
mcp-memory-graph solves this with three mechanisms:
| Problem | Solution |
|---|---|
| All memories treated equally | Priority tiers: high / medium / low → authority scores 1.0 / 0.6 / 0.3 |
| Stale memories persist silently | Supersession tracking: old memories marked status=superseded with typed edges |
| Duplicates accumulate over time | Conflict detection before every store; auto-resolve by authority |
pip install mcp-memory-graph
Or run directly:
git clone https://github.com/RetroRobAI/mcp-memory-graph
cd mcp-memory-graph
pip install -r requirements.txt
python server.py
Add to ~/.claude.json under mcpServers:
"mcp-memory-graph": {
"type": "stdio",
"command": "mcp-memory-graph",
"env": {
"MEMORY_GRAPH_DB_PATH": "/path/to/memories.db"
}
}
Or with the raw script:
"mcp-memory-graph": {
"type": "stdio",
"command": "python",
"args": ["/path/to/mcp-memory-graph/server.py"],
"env": {
"MEMORY_GRAPH_DB_PATH": "/path/to/memories.db"
}
}
If you have an existing memory service (mcp-memory-service, Mem0, or a markdown-based memory system), you can import your memories into mcp-memory-graph using the included migration script.
Migration is manual and opt-in — it never runs automatically. Nothing is written until you explicitly confirm.
python -m mcp_memory_graph.migrate
The script will:
mcp-memory-service SQLite databaseYour existing memory service is never modified — the script only reads from it.
All settings via environment variables:
| Variable | Default | Description |
|---|---|---|
MEMORY_GRAPH_DB_PATH | ~/.mcp-memory-graph/memories.db | SQLite database path |
MEMORY_GRAPH_MODEL | all-MiniLM-L6-v2 | sentence-transformers model |
MEMORY_GRAPH_DIM | 384 | Embedding dimensions |
MEMORY_GRAPH_CONFLICT_THRESHOLD | 0.85 | Cosine similarity above which memories are flagged as conflicting |
MEMORY_GRAPH_DEFAULT_RESULTS | 10 | Default retrieval limit |
| Tool | Description |
|---|---|
store_memory | Store with conflict detection and optional auto-resolve |
retrieve_memories | Semantic search ranked by similarity × authority |
check_conflicts | Preview conflicts before storing |
update_memory | Update content/priority with supersession tracking |
delete_memory | Soft delete (preserves history) |
add_memory_edge | Manually add typed relationship |
get_related_memories | Traverse relationship grap |