ReMe vs Athena-Public
Markdown memory tools for AI agents compared
ReMe and Athena-Public both store AI agent context in editable Markdown files for use across sessions. ReMe is a broader memory toolkit with multiple interfaces and runtime integrations, while Athena-Public centers on coding-session checkpoints and IDE-specific workflows.
ReMe: Manage Persistent Memory for AI Agents
ReMe turns agent conversations and resources into searchable, editable Markdown memory that can evolve over time. It suits developers building assistants that need reusable knowledge across sessions and agent runtimes.
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.
| ReMe | Athena-Public | |
|---|---|---|
| Language | Python | Python |
| License | Apache-2.0 | MIT |
| Stars | 3.5k | 592 |
| Forks | 306 | 77 |
| Last analyzed | Oct 3, 2026 | Oct 3, 2026 |
Key differences
- ReMe captures conversations and resources, then organizes them into daily notes and longer-term memory; Athena-Public uses `/start` and `/end` routines to load and save coding-session context.
- ReMe offers CLI, HTTP, MCP, and Python interfaces, plus an optional Studio; Athena-Public provides IDE-specific instruction files and Claude Code hooks.
- ReMe supports BM25 and wikilink expansion, with optional embeddings; Athena-Public combines keyword search with optional vector retrieval.
- ReMe is licensed under Apache-2.0; Athena-Public is licensed under MIT.
- ReMe is local-first, with automatic capture depending on host integrations; Athena-Public offers optional Supabase cloud sync with its full install.
- ReMe lists 3.5k stars and 306 forks, while Athena-Public lists 592 stars and 77 forks.
Choose ReMe if you…
- need persistent memory from conversations and imported resources, not only coding-session context.
- want multiple ways to access a shared memory workspace, including MCP, HTTP, or Python.
- prefer Markdown memory organized into linked notes, with optional semantic retrieval.
Choose Athena-Public if you…
- work across coding IDEs and want project context carried between sessions.
- want explicit `/start` and `/end` routines for restoring and recording session state.
- need 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.