SegueChoose memory for your workflow
AGENTS.md, built-in memory, Mem0 or Segue?
For ML projects, decide where you want current evaluation rules, model choices, failed approaches and next actions to live—and which assistants need to read them.
Try Segue freeMatch the tool to the job
Sources checked 26 October 2026. Each approach fits a different workflow.
| If you want… | Consider | Why |
|---|---|---|
| Instructions stored with your code | AGENTS.md / CLAUDE.md | Plain repository files fit code review and Git history. Claude Code documents both instruction files and auto memory. |
| Memory inside a particular assistant | Built-in memory | Start with your assistant's own memory controls when you work mainly in that environment. |
| A memory engine inside an app you build | Mem0 | Mem0 offers a library or self-hosted server, with configurable models and storage. |
| An inspectable Markdown knowledge graph | Basic Memory | Basic Memory uses plain Markdown and documents local and cloud workflows. |
| Structured project state across assistants | Segue | Nine-section ML template, OAuth-connected MCP clients, section history and freshness signals. Review complete proposed changes in Segue before approval. |
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Fits your workflow
Keep your tools. Carry the context.
Git holds the code. Your tracker holds the runs. Segue holds the decisions and next steps.
Code & conventions
Git · AGENTS.md · CLAUDE.md
Experiments & artifacts
Your tracker and data tools
Project memory
Segue · across your AIs