Memory & Context Plugins Memory & Context
75 plugins
Plugins that give your agent long-term memory, knowledge persistence, and context management. From simple key-value stores to full knowledge graphs with vector search.
75 plugins
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Knowledge-base-driven agent preset: wiki long-term memory, a web KB UI, a management page and optional UI polish.
dsh plugin --profile default add github:CeilCelia/dsh-eli-mode#path:/packages/eli-mode -
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Dual knowledge-graph RAG for Markdown notes: prerequisite + similarity graphs (P/S-Agent traversal), paragraph chunking, n-gram/embedding hybrid search, and an explicit weight feedback loop — via MCP.
dsh plugin --profile default add github:wly8691-jpg/knowlp-rag -
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Evidence-bound negative-knowledge ledger: persists disproven paths (command_failed, file_missing) with their outcome and precondition evidence, then warns or blocks repeat attempts until the evidence changes.
dsh plugin --profile default add github:akslcw/dsh-negative-ledger -
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Offline QR code (SVG/PNG/ASCII) and barcode (Code128/EAN-13) generator for DeepSeek Harness, no network and no shell.
dsh plugin --profile default add github:hellosky983/dsh-qrcode -
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Scans the skills visible to the current session and ranks them by relevance to the recent conversation.
dsh plugin --profile default add github:hellosky983/dsh-skillradar -
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Biomimetic memory system for DeepSeek Harness: plain-Markdown data layer, memory tools, frozen-snapshot injection, graded approval gating, structured audits, memory metabolism (dream), memory pins, semantic recall, /memory command, and cross-session retrieval.
dsh plugin --profile default add github:KLRSL/dsh-biomemory
Frequently Asked QuestionsFAQ
Memory plugins store knowledge that persists across multiple sessions — facts, entities, and conversation summaries. Session plugins manage the current conversation's state: message history, branching, and import/export.
Most memory plugins add 50-200ms per turn for retrieval. Vector-search plugins are slightly slower but much better at finding relevant context. Key-value stores are fastest.
Yes. A common pattern is context-compression for the current session plus a vector-recall plugin for long-term knowledge.