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holaOS vs piia-engram
holaOS logo
holaOS
★ 5.4k
vs
piia-engram logo
piia-engram
★ 150

holaOS vs piia-engram

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.; piia-engram: piia-engram is a local-first AI identity layer that stores your profile, preferences, lessons learned, and key decisions as local JSON files. It exposes them through the MCP protocol so that all compatible AI tools (like Claude Code, Codex, and Cursor) read the same identity, eliminating the need to re-explain yourself across sessions, tool switches, or updates.

01

TL;DR

holaOS logoChoose holaOS if…

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

piia-engram logoChoose piia-engram if…

Maintain consistent identity when switching between multiple AI coding tools

02

Side-by-Side Comparison

Field
holaOS logoholaOS
piia-engram logopiia-engram
Category
Dev Tooling
Memory & Context
Stars
★ 5.4k
★ 150
License
MIT
Apache-2.0
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent, agent-harness, agent-runtime
ai-agent, ai-identity, ai-memory
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
piia-engram logopiia-engram
01Local-first JSON storage under ~/.engram/
02MCP-native — integrates with any MCP-compatible AI tool
03Cross-tool identity persistence across Claude Code, Codex, Cursor, and more
04Knowledge inheritance across projects
05Passive knowledge capture from session summaries
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
piia-engram logopiia-engram
↳Maintain consistent identity when switching between multiple AI coding tools
↳Avoid re-explaining preferences and lessons in frequent new AI chat sessions
↳Preserve personal context after AI tool updates or version changes
05

Best For

holaOS logoholaOS
TrendingMulti-AgentLLM Infra
piia-engram logopiia-engram
TrendingMemory & ContextDev Tooling
FAQ

FAQ

What is the difference between holaOS and piia-engram?
Both holaOS and piia-engram are in the Dev Tooling category. holaOS has 5.4k stars, while piia-engram has 150 stars.
Which is better, holaOS or piia-engram?
The best choice depends on your use case. Choose holaOS if Building agents that perform complex, multi-step tasks over extended periods, and piia-engram if Maintain consistent identity when switching between multiple AI coding tools.
Is holaOS free or open source?
Yes, holaOS is open source on GitHub (MIT).
Is piia-engram free or open source?
Yes, piia-engram is open source on GitHub (Apache-2.0).
→

Related

Alternatives to holaOS →Alternatives to piia-engram →holaOS details →piia-engram details →
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