AgentIndex icon
AgentIndex
pensyve logo
pensyve
★ 97
vs
samyama-graph logo
samyama-graph
★ 184

pensyve vs samyama-graph

pensyve: Pensyve is a universal memory runtime for AI agents that eliminates amnesia across sessions. It offers three memory types (episodic, semantic, procedural), 8-signal fusion retrieval, and FSRS-based forgetting curve. Framework-agnostic with SDKs for Python, TypeScript, Go, and integrations with LangChain, CrewAI, AutoGen, plus native plugins for Claude Code, Cursor, and VS Code.; 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

pensyve logo
pensyveRAG / Knowledge Base · ★ 97

Persist agent knowledge across sessions and avoid repetitive questions

Read pensyve full review →
samyama-graph logo
samyama-graphRAG / Knowledge Base · ★ 184

Biomedical knowledge graphs (PubMed, ClinicalTrials.gov, etc.)

Read samyama-graph full review →
02

Side-by-Side Comparison

Field
pensyve logopensyve
samyama-graph logosamyama-graph
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 97
★ 184
License
NOASSERTION
Apache-2.0
Install Command
pip install pensyve
git clone https://github.com/samyama-ai/samyama-graph && cd samyama-graph && cargo build --release
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent-memory, ai, ai-agents
billion-edges, cypher, cypher-query-language
03

Features

pensyve logopensyve
01Three memory types: episodic, semantic, procedural
028-signal fusion retrieval (vector, BM25, graph, intent, recency, frequency, confidence, type boost)
03FSRS forgetting curve with reinforcement for natural decay
04Offline-first with SQLite and ONNX embeddings, no cloud required
05Framework-agnostic with SDKs for Python, TypeScript, Go, and MCP
samyama-graph logosamyama-graph
01OpenCypher queries
02Redis protocol
03Vector search (HNSW)
04Graph algorithms (PageRank, BFS, etc.)
05Natural language queries (NLQ)
04

Use Cases

pensyve logopensyve
↳Persist agent knowledge across sessions and avoid repetitive questions
↳Integrate memory into any AI framework (LangChain, CrewAI, AutoGen) via adapters
↳Enable agents to learn effective strategies through procedural memory
samyama-graph logosamyama-graph
↳Biomedical knowledge graphs (PubMed, ClinicalTrials.gov, etc.)
↳Multi-hop graph traversals
↳Cross-knowledge graph aggregation
FAQ

FAQ

What is the difference between pensyve and samyama-graph?
Both pensyve and samyama-graph are in the RAG / Knowledge Base category. pensyve has 97 stars, while samyama-graph has 184 stars.
Which is better, pensyve or samyama-graph?
The best choice depends on your use case. Choose pensyve if Persist agent knowledge across sessions and avoid repetitive questions, and samyama-graph if Biomedical knowledge graphs (PubMed, ClinicalTrials.gov, etc.).
Is pensyve free or open source?
Yes, pensyve is open source on GitHub (NOASSERTION).
Is samyama-graph free or open source?
Yes, samyama-graph is open source on GitHub (Apache-2.0).
Cloud Infrastructure
Ad

Deploy on DigitalOcean

Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.

Claim $200 Free Credit
→

Related

Alternatives to pensyve →Alternatives to samyama-graph →pensyve details →samyama-graph details →