AgentIndex icon
AgentIndex
pensyve logo
pensyve
★ 97
vs
superlocalmemory logo
superlocalmemory
★ 255

pensyve vs superlocalmemory

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.; 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.

01

TL;DR

pensyve logo
pensyveRAG / Knowledge Base · ★ 97

Persist agent knowledge across sessions and avoid repetitive questions

Read pensyve full review →
superlocalmemory logo
superlocalmemoryRAG / Knowledge Base · ★ 255

IDE integration (Claude Code, Cursor, Windsurf)

Read superlocalmemory full review →
02

Side-by-Side Comparison

Field
pensyve logopensyve
superlocalmemory logosuperlocalmemory
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 97
★ 255
License
NOASSERTION
AGPL-3.0
Install Command
pip install pensyve
npm install -g superlocalmemory
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent-memory, ai, ai-agents
agent-memory, agent-reliability, ai-agents
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
superlocalmemory logosuperlocalmemory
015-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)
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
superlocalmemory logosuperlocalmemory
↳IDE integration (Claude Code, Cursor, Windsurf)
↳CI/CD pipelines
↳Agent frameworks (OpenClaw, Codex, Goose)
FAQ

FAQ

What is the difference between pensyve and superlocalmemory?
Both pensyve and superlocalmemory are in the RAG / Knowledge Base category. pensyve has 97 stars, while superlocalmemory has 255 stars.
Which is better, pensyve or superlocalmemory?
The best choice depends on your use case. Choose pensyve if Persist agent knowledge across sessions and avoid repetitive questions, and superlocalmemory if IDE integration (Claude Code, Cursor, Windsurf).
Is pensyve free or open source?
Yes, pensyve is open source on GitHub (NOASSERTION).
Is superlocalmemory free or open source?
Yes, superlocalmemory is open source on GitHub (AGPL-3.0).
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Related

Alternatives to pensyve →Alternatives to superlocalmemory →pensyve details →superlocalmemory details →