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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | dsh-session-archive | Miller | Superpowers |
|---|---|---|---|
| Platforms | DeepSeek Harness | Universal, MCP, Claude Code, Codex, Cursor | Claude Code, Codex, Cursor, OpenCode |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | Apache-2.0 | BSD-2-Clause | MIT |
| Stars | 9384 | 10049 | 304147 |
| Last activity | September 26, 2026 | October 21, 2026 | — |
| Install complexity | Easy | EASY | — |
| Category | Memory, Security, Workflow | Workflow, Data | Code Review, Multi-Agent, Testing, Workflow |
| Best use | Use it when DSH sessions pile up and you need to identify old work, archive it first, then safely remove what is no longer needed while protecting running sessions. It fits recurring cleanup and finished projects; do not enable automatic deletion before previewing the policy and checking backups. | Ideal for developers, data analysts, and operators who need to clean a CSV export, inspect JSON Lines, or summarize a large file from the terminal without starting a Python project. Use it for quick, repeatable file processing; concurrent transactions and advanced visual analysis still call for a database or complementary analytics tool. | Best for a developer or project owner working on a substantial feature or a difficult bug. It helps clarify requirements, approve a plan, and inspect tests and file changes. Its value is a visible path from decision to verification. A small text edit may not need the full workflow. |