AgentIndex icon
AgentIndex
pensyve logo
pensyve
★ 97
vs
m3-memory logo
m3-memory
★ 29

pensyve vs m3-memory

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.; m3-memory: M3 Memory provides persistent, local memory for MCP agents using SQLite, hybrid retrieval, and optional cross-device sync. It stores facts, decisions, and preferences across sessions, with contradiction handling and knowledge graph features. It works offline and integrates with Claude Code, Gemini CLI, and other MCP-compatible agents.

01

TL;DR

pensyve logo
pensyveRAG / Knowledge Base · ★ 97

Persist agent knowledge across sessions and avoid repetitive questions

Read pensyve full review →
m3-memory logo
m3-memoryRAG / Knowledge Base · ★ 29

Coding agents like Claude Code or Gemini CLI need persistent memory across sessions

Read m3-memory full review →
02

Side-by-Side Comparison

Field
pensyve logopensyve
m3-memory logom3-memory
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 97
★ 29
License
NOASSERTION
Apache-2.0
Install Command
pip install pensyve
curl -fsSL https://raw.githubusercontent.com/skynetcmd/m3-memory/main/install.sh | bash
Updated
1d ago
4d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent-memory, ai, ai-agents
agentic-memory, ai-agents, ai-memory
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
m3-memory logom3-memory
01Persistent memory across sessions
02Hybrid retrieval (FTS5 + vector + MMR)
03Contradiction detection and automatic supersession
04Knowledge graph with entity extraction
05Optional cross-device bi-directional sync
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
m3-memory logom3-memory
↳Coding agents like Claude Code or Gemini CLI need persistent memory across sessions
↳Multi-agent teams sharing a local memory store with handoffs and scoping
↳Developers requiring local-first memory with optional sync across devices
FAQ

FAQ

What is the difference between pensyve and m3-memory?
Both pensyve and m3-memory are in the RAG / Knowledge Base category. pensyve has 97 stars, while m3-memory has 29 stars.
Which is better, pensyve or m3-memory?
The best choice depends on your use case. Choose pensyve if Persist agent knowledge across sessions and avoid repetitive questions, and m3-memory if Coding agents like Claude Code or Gemini CLI need persistent memory across sessions.
Is pensyve free or open source?
Yes, pensyve is open source on GitHub (NOASSERTION).
Is m3-memory free or open source?
Yes, m3-memory 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 m3-memory →pensyve details →m3-memory details →