dsh-memory-plugin
Run the following command in DeepSeek Harness:
dsh plugin install disc0nct/dsh-memory-plugin
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install disc0nct/dsh-memory-plugin in DeepSeek Harness to install this persistent memory plugin from its full source repository at https://github.com/disc0nct/dsh-memory-plugin, enabling cross-session memory storage and search via tools like memory_store and memory_search.
About this plugin
Every time a DeepSeek Harness agent finishes a session, all context is gone—user preferences, project background, key conclusions, none of it carries forward. dsh-memory-plugin solves exactly that: it gives agents a disk-backed long-term memory system where facts are written to a local JSON file and remain readable across restarts, new sessions, or even a fresh terminal.
The plugin ships seven ready-to-use tools—store, search, get, list, delete, clear, stats—covering the full memory lifecycle. Search blends keyword and semantic matching without any external vector service, keeping things lightweight and fully offline. Memories can be organized by category, and writing to an existing key simply upserts it to the most-recent position. Under the hood, atomic writes, per-file write locks, mtime caching, and an inverted index keep retrieval sub-linear while staying concurrency-safe; transient errors like EACCES or EBUSY trigger automatic retries, and a corrupted file falls back to a linear scan with a backup copy so nothing is silently lost.
If you are building DSH agents that need to remember across sessions, or you simply want your agent to retain the key points of a conversation the way a human would, this plugin is the lightest path: no vector database, no extra services—install it and start remembering.
Use Cases
- Retain user preferences and constraints across multi-turn agent conversations
- Track project context and decision history across sessions
- Provide long-term memory to agents in offline local environments
Best For
- Developers building agents with DeepSeek Harness
- Teams needing cross-session memory capabilities for their agents
- Tech stacks that prefer local, dependency-free, offline solutions
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