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Harness
让 AI 的能力，落到实处。
技能、MCP 服务、提示词、助手与连接器。每一项都写明作者、版本和所需权限。
已上架21,000
- MCP 服务18,849
- 技能1,282
- 助手651
- 提示词218
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记忆
deusdata 46kCodebase MemoryCodebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.MCPNode.js记忆
anthropics 38kMath proof worker deepThe higher-effort math-proof worker, used from the escalation round on (round 4, unless the siege setting ESC_ROUND says otherwise). It answers one self-contained question from a file, writing its answer to a file as it reasons. It has no memory between questions and is launched only by the math-proof plugin's siege skill.助手跟随主会话记忆写作
muratcankoylan 18kLatent Briefing and KV Cache Memory SharingThis skill should be used when the user asks to "share memory between agents", "KV cache compaction for multi-agent", "orchestrator worker context", "latent briefing", "reduce worker tokens", "cross-agent memory without summarization", or discusses Attention Matching compaction, recursive language models with workers, or token explosion in hierarchical agents.技能无代码记忆智能体
plastic-labs 7.5kHonchoMemory that reasons: continual learning for stateful agents. Better context, fewer tokens.MCP远程记忆教育
builderio 7.1kAgent-Native DispatchCentral Slack/Telegram router with jobs, memory, approvals, and A2A delegationMCP远程即时通讯记忆- affaan-m 275kPerformance OptimizerPerformance analysis and optimization specialist. Profiling, memory leaks, render optimization, and algorithmic improvements.助手Sonnet记忆
wshobson 40kARM cortex expertSenior embedded software engineer specializing in firmware and driver development for ARM Cortex-M microcontrollers (Teensy, STM32, nRF52, SAMD). Decades of experience writing reliable, optimized, and maintainable embedded code with deep expertise in memory barriers, DMA/cache coherency, interrupt-driven I/O, and peripheral drivers.助手跟随主会话记忆写作
basicmachines-co 4.1kbasic-memoryLocal-first knowledge management with bi-directional LLM sync via Markdown files.MCPPython文件文档记忆- wshobson 40kC proWrite efficient C code with proper memory management, pointer arithmetic, and system calls. Handles embedded systems, kernel modules, and performance-critical code.助手Opus记忆编程
alirezarezvani 28k/si:memory-status — Memory Health DashboardMemory health dashboard showing line counts, topic files, capacity, stale entries, and recommendations. Use when the user runs /si:memory-status or asks how full or healthy the agent memory is.技能无代码文件记忆健康
moorcheh-ai 2.3kMemantoMCP server for Memanto - persistent semantic memory for any MCP-compatible agentMCPPython记忆
orchestra-research 13kvLLM - High-Performance LLM ServingServes LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints, quantization (GPTQ/AWQ/FP8), and tensor parallelism.技能无代码记忆模型- anthropics 38kCLAUDE.md ImproverAudit and improve CLAUDE.md files in repositories. Use when user asks to check, audit, update, improve, or fix CLAUDE.md files. Scans for all CLAUDE.md files, evaluates quality against templates, outputs quality report, then makes targeted updates. Also use when the user mentions "CLAUDE.md maintenance" or "project memory optimization".技能无代码文件记忆
- muratcankoylan 18kFilesystem-Based Context EngineeringThis skill should be used when agent work needs file-backed context: durable scratchpads, tool-output offloading, just-in-time discovery, cross-agent handoff files, filesystem memory, or cleanup policies for context stored outside the prompt.技能Python文件记忆
iwe-org 1.8kIWEMarkdown knowledge base as agent memory. Runs against the notes directory it is started in.MCPNode.js文档笔记与知识库记忆- muratcankoylan 18kMemory System DesignThis skill should be used for persistent semantic memory in agent systems: cross-session knowledge retention, entity tracking, temporal validity, graph or vector retrieval, memory consolidation, and memory benchmark selection. Route file-backed scratchpads to filesystem-context, handoff summaries to context-compression, and token-efficiency tactics to context-optimization.技能Python文件记忆
- alirezarezvani 28kMemory engineerUse when someone is adding memory to an agent, choosing a memory architecture, auditing an existing memory store, or asking why their memory system is expensive, slow, or wrong. Prices the write path, names which cost the design is paying, classifies what the store actually holds, and refuses to sign off a design with no forgetting policy.助手跟随主会话记忆架构
silverstein 1.5kminutesThe private, owned conversation-memory layer for AI. Record, transcribe, and search every meeting.MCPNode.js记忆音频与语音- wshobson 40kVector Index TuningOptimize vector index performance for latency, recall, and memory. Use when tuning HNSW parameters, selecting quantization strategies, or scaling vector search infrastructure.技能无代码记忆
mnemox-ai 1.4ktradememory-protocolTamper-evident decision audit trail and outcome-weighted memory for AI trading agents.MCPPython记忆金融
intuition-lab 1.3kPersomeLocal-first personal memory and model server for trusted MCP agents on macOS.MCPPython记忆
chunxiaoxx 1.3kNautilus Compass MemoryLocal-first long-term memory for AI agents, with byte-recomputable signed verification receipts.MCPPython记忆
huggingface 11khf-memHugging Face CLI to estimate the required memory to load Safetensors or GGUF model weights for inference from the Hugging Face Hub技能无代码记忆模型
mibayy 1.2ktoken-saviorStructural codebase MCP server with persistent memory: navigate by symbol, recall across sessions.MCPPython记忆