curated collections / memory-context
DSH Memory & Context Plugins (DeepSeek Harness)
Automated recall, project memory and context compression — the hottest direction in DSH right now.
The clearest signal in the DeepSeek Harness catalog: the top installable entries by stars are a memory stack — pre-step auto-recall, profile injection, session capture and project-level memory. These DSH plugins attack the real cost centers of long-running agents: context bloat, cross-task forgetting, and messy recall.
The strongest DeepSeek Harness (DSH) memory stack: auto-recall project memory first, then context compression — ranked below by stars and recency.
666 plugins127.7K stars
Synced from our GitHub list · Catalog updated 2026-10-04
Why it matters now
Highest-signal category — the most-starred installable entries (OpenViking-style memory, Hindsight-style project memory) are all memory.
Attacks real costs — deterministic compaction, cross-session memory and token savings map 1:1 to agent cost and confusion.
High ceiling — a quality memory layer is exactly what is hardest to copy vs. another theme or sidebar.
In this collection
Editor’s picks lead, then the rest of the theme is auto-discovered by GitHub topics and ranked by stars. Catalog data, refreshed on every sync.
- 1openvikingby volcengine
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
Editor’s pickCuratedAgents, Automation & Workflows39.2K3,080 - 2memosby memtensor
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.
Editor’s pickCuratedSessions & Messages11.7K1,066 - 3everosby evermind-ai
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
Editor’s pickMCP & Protocols13.3K926 - 4mindmemosby mindscale-noah
Gives dsh agents persistent cross-session memory: auto-recalls relevant user/task context before each turn and writes back lessons after each turn, evolving memory via schema learning and skill distillation
Editor’s pickCuratedSessions & Messages1,002101 - 5mnemonby mnemon-dev
LLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. Works with DeepSeek Harness, Claude Code, OpenClaw, and any agent runtime.
Editor’s pickCLI & Terminal60874 - 6dsh-mnemonby omdsh-dev
Composable, view-based memory for DeepSeek Harness. Pluggable sources and strategies, with three-tier memory out of the box.
Editor’s pickCuratedSessions & Messages44537 - 7engramoryby tinqiao-oss
A portable memory protocol for AI agents — load it as standing rules; a curation discipline + reference spec + optional cap hook.
Editor’s pickCuratedSessions & Messages19212 - 8weknoraby tencent
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
CuratedKnowledge & Research31.9K4,253 - 9remeby agentscope-ai
ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.
CuratedKnowledge & Research3,548306 - 10ai-novel-writerby ethanyoq
Installs a dedicated AI novel-writing preset and workbench: revisioned local project assets, a compact side drawer, and native approval-gated single-file changes.
CuratedAgents, Automation & Workflows1,284151 - 11memsearchby zilliztech
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.
CuratedKnowledge & Research2,710264 - 12deja-vuby vshulcz
The most accurate, cheapest and fastest memory for coding agents: searchable session history from Claude Code, Codex, Cursor and 32 more agents, already on your disk. No LLM, one Go binary.
CuratedKnowledge & Research1,123109 - 13anolisaby agentic-os-org
ANOLISA (Agentic Nexus Operating Layer & Interface System Architecture) | Agentic OS with runtime, security, observability, and Tokenless response compression for lower token usage and cost.
CuratedDeveloper Tools659126 - 14graph-memoryby adoresever
Knowledge-graph memory core native to DSH (Cordis adapter, cross-session triples).
CuratedKnowledge & Research63695 - 16thoughtdagby chenxiachan
Your thinking deserves a map: an infinite canvas where LLM conversations grow into an editable thought graph. Wires are the context.
CuratedKnowledge & Research54051 - 17billion-contextby ranxianglei
Compresses long agent conversations into reversible summaries and exposes native DSH compression tools through a bundled patch.
CuratedKnowledge & Research49350 - 18flowixby text2future
Registers the local flowix-cli MCP server so the agent can search, read, create, and edit Flowix memos and mind-map artifacts.
CuratedAgents, Automation & Workflows44557
Frequently asked questions
What does a memory plugin do in DeepSeek Harness?
It gives an agent long-term recall — storing notes, profiles or past turns — so it remembers context across sessions instead of starting fresh each time.
How does context compression help DSH agents?
It deterministically summarizes or truncates the conversation, shrinking token usage and preventing context bloat on long-running tasks.
What's the difference between profile memory and session memory?
Session memory lasts for one run; profile or project memory persists across runs and is injected each time so the agent keeps what it learned.
Which memory plugin should I start with?
Start with a project-memory plugin with auto-recall — the highest-signal install — then add compaction once your agents run long sessions.
Do memory plugins increase API costs?
They add a little overhead per recall, but usually lower total cost by avoiding re-reading large contexts and re-doing forgotten work.
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