superlocalmemory
★ 255
vs
samyama-graph
★ 184
superlocalmemory vs samyama-graph
superlocalmemory: SuperLocalMemory V3 is a local-first AI agent memory system that uses mathematical techniques (differential geometry, algebraic topology, stochastic analysis) to replace cloud LLM dependency. It offers three operating modes, achieves high benchmark scores, and is EU AI Act compliant.; samyama-graph: Samyama is a graph-vector database written in Rust. It supports OpenCypher queries, Redis protocol, vector search, and graph algorithms. It can handle billions of edges on a single machine.
01
TL;DR
superlocalmemoryRAG / Knowledge Base · ★ 255
IDE integration (Claude Code, Cursor, Windsurf)
samyama-graphRAG / Knowledge Base · ★ 184
Biomedical knowledge graphs (PubMed, ClinicalTrials.gov, etc.)
02
Side-by-Side Comparison
Field
superlocalmemorysamyama-graphCategory
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 255
★ 184
License
AGPL-3.0
Apache-2.0
Install Command
npm install -g superlocalmemory
git clone https://github.com/samyama-ai/samyama-graph && cd samyama-graph && cargo build --release
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
agent-memory, agent-reliability, ai-agents
billion-edges, cypher, cypher-query-language
03
Features
superlocalmemory015-channel hybrid retrieval (Semantic, BM25, Entity Graph, Temporal, Hopfield)
02Auto-learned soft prompts and adaptive memory lifecycle
03Skill evolution with performance tracking
04Tiered storage (active/warm/cold/archived)
05Trust & Security (Bayesian trust scoring, ABAC, audit trail)
samyama-graph01OpenCypher queries
02Redis protocol
03Vector search (HNSW)
04Graph algorithms (PageRank, BFS, etc.)
05Natural language queries (NLQ)
04
Use Cases
superlocalmemory↳IDE integration (Claude Code, Cursor, Windsurf)
↳CI/CD pipelines
↳Agent frameworks (OpenClaw, Codex, Goose)
samyama-graph↳Biomedical knowledge graphs (PubMed, ClinicalTrials.gov, etc.)
↳Multi-hop graph traversals
↳Cross-knowledge graph aggregation
FAQ
FAQ
What is the difference between superlocalmemory and samyama-graph?
Both superlocalmemory and samyama-graph are in the RAG / Knowledge Base category. superlocalmemory has 255 stars, while samyama-graph has 184 stars.
Which is better, superlocalmemory or samyama-graph?
The best choice depends on your use case. Choose superlocalmemory if IDE integration (Claude Code, Cursor, Windsurf), and samyama-graph if Biomedical knowledge graphs (PubMed, ClinicalTrials.gov, etc.).
Is superlocalmemory free or open source?
Yes, superlocalmemory is open source on GitHub (AGPL-3.0).
Is samyama-graph free or open source?
Yes, samyama-graph is open source on GitHub (Apache-2.0).
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