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holaOS vs pensyve
holaOS logo
holaOS
★ 5.4k
vs
pensyve logo
pensyve
★ 37

holaOS vs pensyve

holaOS: holaOS is an agent environment built for long-horizon work, continuity, and self-evolution. It provides agents with a structured operating system including runtime, memory, tools, apps, and durable state, enabling them to operate continuously, evolve over time, and remain inspectable across different runs.; 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.

01

TL;DR

holaOS logoChoose holaOS if…

Building agents that perform complex, multi-step tasks over extended periods

pensyve logoChoose pensyve if…

Persist agent knowledge across sessions and avoid repetitive questions

02

Side-by-Side Comparison

Field
holaOS logoholaOS
pensyve logopensyve
Category
Dev Tooling
RAG / Knowledge Base
Stars
★ 5.4k
★ 37
License
MIT
NOASSERTION
Updated
2d ago
3d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent, agent-harness, agent-runtime
agent-memory, ai, ai-agents
03

Features

holaOS logoholaOS
01Structured operating system for agents
02Designed for long-horizon work and continuity
03Enables agents to self-evolve over time
04Provides durable state and memory for continuous operation
05Offers inspectable state across multiple runs
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
04

Use Cases

holaOS logoholaOS
↳Building agents that perform complex, multi-step tasks over extended periods
↳Developing continuously learning and evolving AI systems
↳Creating custom workspace applications on top of the holaOS environment
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
05

Best For

holaOS logoholaOS
TrendingMulti-AgentLLM Infra
pensyve logopensyve
TrendingRAG / Knowledge BaseMemory & Context
FAQ

FAQ

What is the difference between holaOS and pensyve?
Both holaOS and pensyve are in the Dev Tooling category. holaOS has 5.4k stars, while pensyve has 37 stars.
Which is better, holaOS or pensyve?
The best choice depends on your use case. Choose holaOS if Building agents that perform complex, multi-step tasks over extended periods, and pensyve if Persist agent knowledge across sessions and avoid repetitive questions.
Is holaOS free or open source?
Yes, holaOS is open source on GitHub (MIT).
Is pensyve free or open source?
Yes, pensyve is open source on GitHub (NOASSERTION).
→

Related

Alternatives to holaOS →Alternatives to pensyve →holaOS details →pensyve details →
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