Memtrace gives AI coding agents structural memory — your codebase as a live knowledge graph so agents stop re-deriving code structure from scratch
Memtrace gives AI coding agents structural memory — your codebase as a live knowledge graph so agents stop re-deriving code structure from scratch and start
Memtrace runs locally — first index is CPU/RAM intensive, subsequent queries and incremental indexing are much lighter. | | Minimum | Recommended | |---|---|---| | CPU | 4 cores | 8+ cores for large monorepos | | Memory | 8 GB RAM | 16–32 GB RAM | | Disk | 5 GB free | 10–20 GB free | | GPU | Not required | Not required | | Node.js | ≥ 18 | Current LTS | | Git | Required for temporal analysis |
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| Tool | What it does |
|---|---|
| find_code | hybrid BM25 + semantic + RRF |
| find_symbol | exact / fuzzy with Levenshtein |
| analyze_relationships | callers, callees, hierarchy, imports |
| get_symbol_context | 360° view in one call |
| get_impact | blast radius with risk rating |
| detect_changes | diff-to-symbols scope mapping |
| find_dead_code | zero-caller detection |
| find_most_complex_functions | complexity hotspots |
| calculate_cyclomatic_complexity | get_repository_stats |
| get_evolution | 6 scoring modes |
| get_timeline | full version history |
| find_bridge_symbols | betweenness centrality |
| find_central_symbols | PageRank / degree |
| list_communities | Louvain modules |
{
"mcpServers": {
"memtrace": {
"command": "memtrace",
"args": [
"mcp"
],
"env": {}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
Memtrace runs locally — first index is CPU/RAM intensive, subsequent queries and incremental indexing are much lighter. | | Minimum | Recommended | |---|---|---| | CPU | 4 cores | 8+ cores for large monorepos | | Memory | 8 GB RAM | 16–32 GB RAM | | Disk | 5 GB free | 10–20 GB free | | GPU | Not required | Not required | | Node.js | ≥ 18 | Current LTS | | Git | Required for temporal analysis |
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.
A Model Context Protocol server
Agent orchestration + org memory via MCP. Manage initiatives and decisions from any client.
AI coding tools are powerful, but they have blind spots when it comes to your local files:
Local-first bookmark management with semantic search and AI-powered organization