This note compares five tools that the overview says must have both graph storage and semantic or vector search. The quick decision table picks one tool per need. Semantica is the row for audit, reasoning, and ontology. Trustgraph is the row for multi-model data. Mempalace is the row for highest accuracy at zero cost. Neural-memory is the row for fully offline work with MCP. Knowns is the row for AI-native development and code intelligence.
The best-for table uses the same split. Semantica is marked for enterprise and regulated settings. Trustgraph is marked for enterprise multi-model contexts. Mempalace is marked privacy-first. Neural-memory is marked for offline, privacy, and AI agents. Knowns is marked for software teams and code context.
Storage in the tables is Neo4j, AGE, and FalkorDB for semantica, Cassandra for trustgraph, SQLite for mempalace, a custom graph for neural-memory, and file-based markdown plus a code graph for knowns. Vector stores named beside them are FAISS, Pinecone, and Qdrant, then Qdrant, ChromaDB, InfinityDB or FTS5, and local ONNX models. The note says it was updated on 2026-04-13 when Knowns was added, and that it was checked against official documentation.
Overview
This covers only repositories that support BOTH graph storage and semantic/vector search:
| Tool |
Graph Storage |
Vector/Semantic Search |
Type |
| semantica |
✅ (Neo4j, AGE, FalkorDB) |
✅ (FAISS, Pinecone, Qdrant...) |
KG Framework |
| trustgraph |
✅ (Cassandra) |
✅ (Qdrant) |
Context Platform |
| mempalace |
✅ (SQLite - temporal ER) |
✅ (ChromaDB) |
Memory System |
| neural-memory |
✅ (custom graph) |
✅ (InfinityDB Pro / FTS5 Free) |
Memory Library |
| knowns |
✅ (file-based markdown + code graph) |
✅ (ONNX local models, offline) |
AI Project Memory |
Architecture Comparison
Storage
| Tool |
Graph DB |
Vector Store |
Hybrid |
Multi-model |
| semantica |
Neo4j, AGE, FalkorDB |
FAISS, Pinecone, Qdrant... |
✅ |
❌ |
| trustgraph |
Cassandra |
Qdrant |
✅ |
✅ |
| mempalace |
SQLite |
ChromaDB |
✅ |
❌ |
| neural-memory |
Custom graph |
InfinityDB (Pro) / FTS5 (Free) |
Partial |
❌ |
| knowns |
File-based (markdown + code graph) |
ONNX local embeddings |
✅ |
❌ |
Data Model
| Tool |
Graph Model |
Temporal |
| semantica |
Typed edges, 24 relationship types |
✅ |
| trustgraph |
Multi-model |
✅ |
| mempalace |
Temporal ER triples |
✅ |
| neural-memory |
Spreading activation neurons |
✅ |
| knowns |
Task/doc/code relationship graph |
❌ |
Feature Comparison (Verified)
Core Features
| Feature |
semantica |
trustgraph |
mempalace |
neural-memory |
knowns |
| Graph Storage |
✅ |
✅ |
✅ |
✅ |
✅ |
| Vector Search |
✅ |
✅ |
✅ |
✅ |
✅ |
| Temporal |
✅ |
✅ |
✅ |
✅ |
❌ |
| Ontology/SHACL |
✅ |
✅ |
✅ (Palace) |
❌ |
❌ |
| Reasoning Engine |
✅ |
❌ |
❌ |
✅ |
❌ |
| Graph Algorithms |
✅ |
❌ |
❌ |
✅ |
❌ |
| Audit Trail |
✅ |
✅ |
❌ |
❌ |
✅ |
| RAG Pipeline |
✅ |
✅ |
✅ |
❌ |
✅ |
| MCP Support |
❌ |
✅ |
✅ |
✅ |
✅ |
| Offline |
✅ |
✅ |
✅ |
✅ |
✅ |
| Free Tier |
✅ |
✅ |
✅ |
✅ |
✅ |
| Multi-hop |
✅ |
✅ |
✅ |
✅ |
✅ |
Detailed Features
Reasoning
| Tool |
Reasoning Type |
| semantica |
Forward chaining, Rete networks, Deductive, Abductive, SPARQL |
| trustgraph |
GraphRAG (retrieval-augmented) |
| mempalace |
RAG with semantic search |
| neural-memory |
Spreading activation, cognitive reasoning (hypothesize, submit evidence, predict) |
| knowns |
Context retrieval, code dependency analysis, task planning |
Graph Algorithms
| Tool |
Algorithms |
| semantica |
PageRank, betweenness centrality, Louvain, Node2Vec, link prediction |
| trustgraph |
Graph traversal, community detection |
| mempalace |
Temporal ER, multi-hop queries |
| neural-memory |
Spreading activation, multi-hop traversal |
| knowns |
Code dependency graph, relationship traversal |
Temporal
| Tool |
Temporal Support |
| semantica |
Temporal GraphRAG, Allen Interval Algebra (13 relations), bi-temporal provenance, validity windows |
| trustgraph |
Context cores, point-in-time snapshots |
| mempalace |
as_of parameter, timeline feature |
| neural-memory |
Validity windows, episodic → semantic consolidation |
| knowns |
Time tracking on tasks, version history for docs/tasks |
Unique Features
| Tool |
Unique Feature |
| semantica |
W3C PROV-O audit, ontology auto-generation, Node2Vec |
| trustgraph |
Multi-model (tabular, KV, doc, graph, vector, media), portable context cores |
| mempalace |
Palace structure (Wings/Rooms/Halls), 96.6% R@5 benchmark, $0 cost |
| neural-memory |
56 MCP tools, 5-tier compression, brain versioning |
| knowns |
Claude Code skills (/kn-*), AST code intelligence, file-based markdown DB |
Integration
| Platform |
semantica |
trustgraph |
mempalace |
neural-memory |
knowns |
| Claude Code |
❌ |
✅ |
✅ |
✅ |
✅ |
| Cursor |
❌ |
❌ |
✅ |
✅ |
❌ |
| Codex |
❌ |
❌ |
❌ |
✅ |
⚠️ |
| MCP |
❌ |
✅ |
✅ |
✅ |
✅ |
| Tools |
0 |
Multiple |
19 |
56 |
30+ |
Use Cases
| Tool |
Best For |
| semantica |
Enterprise, Regulated (audit, reasoning, ontology) |
| trustgraph |
Enterprise (multi-model, portable contexts) |
| mempalace |
Privacy-first, highest accuracy |
| neural-memory |
Offline, privacy, AI agents |
| knowns |
Software teams, AI-native development, code context |
Quick Decision
| Need |
Choose |
| Audit, reasoning, ontology |
semantica |
| Multi-model data |
trustgraph |
| Highest accuracy, $0 |
mempalace |
| Fully offline, MCP |
neural-memory |
| AI-native dev, code intelligence |
knowns |
Updated: 2026-04-13 (Added Knowns)
Verified with official documentation
See also: Codebase Memory MCP · GitNexus · Graphify