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imemory

Client Updated 2026.08.20

Run the following command in DeepSeek Harness:

dsh plugin install bass1125/imemory

Paste the following prompt into your AI chat to install this plugin:

Install this plugin in DeepSeek Harness by running dsh plugin install bass1125/imemory; source code at https://github.com/bass1125/imemory

About this plugin

Every new session forces you to re-explain your dev environment, project context, and personal preferences. imemory solves this in DSH by turning long-term memory into two plain-text files: MEMORY.md for your notes, lessons, and environment context, and USER.md for identity and preferences. Entries are separated by a standalone section sign on its own line, freely editable at any time, with zero database dependency and effortless cross-machine migration.

Three mechanisms drive its core behavior. After each root-session turn, the LLM distills durable information from the conversation and writes it to memory with an importance score from 1 to 10. Before every dialogue step, candidates are recalled by keyword scoring, then semantically re-ranked by the LLM and injected into context. Repeated workflows crystallize into learned-* skills that build your personal playbook over time. A background consolidation pass runs every six hours to merge conflicts, deduplicate, and retire low-value entries. A web management panel lets you inspect and edit memories on the fly.

It suits DSH developers who want an assistant that continuously remembers them and gets smarter with use, especially those juggling multiple projects, switching contexts often, or looking to distill scattered experience into reusable skills. The memory format is compatible with Hermes, so existing users can point to the same directory and pick up where they left off.

Use Cases

  • Start each new session without re-explaining your dev environment and project context
  • Recall project-specific context and past lessons automatically when juggling multiple projects
  • Distill repeated workflows into reusable skills that accumulate into your personal playbook

Best For

  • DSH developers juggling multiple projects and switching contexts frequently
  • Users who want an AI assistant that continuously remembers their preferences and improves over time
  • Hermes users looking to carry over an existing memory store seamlessly