EverOS vs Athena-Public
Portable AI agent memory projects compared
EverOS and Athena-Public both keep AI agent context in editable Markdown so it can persist across sessions. EverOS is a broader memory runtime for user and agent data across tools, while Athena-Public centers on coding-project context and `/start` and `/end` session routines.
EverOS: Give AI Agents Portable Long-Term Memory
EverOS is a Python memory runtime that stores agent conversations and context in editable Markdown, with local indexes for retrieval. It suits teams building agents that need user-owned memory to persist across apps and sessions.
Athena-Public: Keep AI Coding Agent Context Across Sessions
Project Athena stores coding context in Markdown on your disk and uses a session routine to carry it forward between AI coding sessions. It suits developers who switch IDEs or models and want to keep their project memory portable.
| EverOS | Athena-Public | |
|---|---|---|
| Language | Python | Python |
| License | Apache-2.0 | MIT |
| Stars | 13.4k | 592 |
| Forks | 926 | 77 |
| Last analyzed | Oct 7, 2026 | Oct 3, 2026 |
Key differences
- EverOS separates user memory from agent memory and scopes retrieval across users, agents, apps, projects, and sessions; Athena-Public organizes coding context into workspace files and session logs.
- EverOS can synchronize local indexes as Markdown changes and offers a Knowledge Wiki and offline reflection when configured; Athena-Public focuses on loading and saving session checkpoints.
- EverOS supports integrations across agent platforms and workflows, while Athena-Public generates IDE-specific instruction files and has code-enforced hooks for Claude Code.
- EverOS uses the Apache-2.0 license; Athena-Public uses the MIT license.
- EverOS's documented server setup requires Python 3.12 or newer and an LLM provider; Athena-Public offers a lighter local install, with cloud sync and reranking in the full install.
- EverOS reports 13.4k stars and 926 forks, compared with Athena-Public's 592 stars and 77 forks.
Choose EverOS if you…
- need user-owned memory shared across agents, apps, projects, and sessions.
- want a Python memory runtime with local indexes, editable Markdown, and optional multimodal ingestion.
- need memory features such as offline reflection or a source-backed Knowledge Wiki when configured.
Choose Athena-Public if you…
- want coding-project context carried between sessions with `/start` and `/end` routines.
- work across supported coding IDEs and prefer project memory stored as local Markdown files.
- want Claude Code hooks for checks such as secret scanning and destructive-command safeguards.
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.