— · AGPL-3.0
The memory your AI should have had from the start. Automatic capture, automatic recall, 100% local. One SQLite file, zero cloud. Works with Claude Code, Claude CLI, Cursor, Codex CLI, Gemini CLI.
— · MIT
DeepSeek Harness 的 SDR 数字员工插件:九阶段外贸获客 SOP、结构性人工审批、客户去重、持久化知识检索与审计日志,默认 dry-run 安全演示。
— · MIT
Open-source marketing skills for founders. Keyword research, growth strategy, social search audit, competitor analysis. Install with npx skills.
— · no license
CoexistAI is a modular, developer-friendly research assistant framework . It enables you to build, search, summarize, and automate research workflows using LLMs, web search, Reddit, YouTube, and mapping tools—all with simple MCP tool calls or API calls or Python functions.
— · MIT
The official Redis MCP Server is a natural language interface designed for agentic applications to manage and search data in Redis efficiently
v1.1.0 · MIT
USPTO patent creation system with MCP server + Claude Code plugin. Hybrid RAG search over MPEP/USC/CFR, BigQuery access to 76M+ patents, automated 35 USC 112 compliance checks, prior art search, diagram generation. GPU-accelerated with skills and autonomous agents.
v0.3.7 · MIT
Find DSH plugins inside the agent — live GitHub dsh-plugin topic search, star-ranked / 会话内搜索发现 DSH 插件
v2.1.0 · MIT
Search & analytics data as infrastructure — MCP server for Google Search Console, Bing Webmaster Tools, Google Adsense and GA4, designed for AI agents and automation.
v0.2.2 · Apache-2.0
Source-linked CodeGraph exploration, ranked search, and static navigation for coding agents.
v0.2.0 · MIT
Sync your Claude Code brain across machines — memory, skills, agents, rules, and settings with intelligent semantic merge. Git-based, auto-sync hooks.
v0.1.3 · MIT
Search agent skills ranked by measured lift vs a no-skill baseline, with safety and rankings.
v1.1.8 · MIT
Search and rate AI tools, MCP servers, and agent skills reviewed by real agent use.
v1.0.0 · MIT
AI skills大全 mcp ai知识库 Agent 全维度 AI 资源百科,DSH插件 收录大模型、智能 Agent、RAG 检索增强、多模态、MLOps、AI 应用工具、AI面试集、Vibe coding 大全、零基础学习路线,持续更新前沿 AI 开源项目,开发者一站式 AI 导航库
v0.1.14 · MIT
Autonomous (auto) mode permission classifier for DeepSeek Harness: a Claude-Code-auto-mode-like classifier over tools/pre-execute and approval/request, a selectable 'auto' permission preset, LLM semantic judge, git checkpointing, agent discipline guidance
v0.4.2 · MIT
记忆核心(Memory Eternal):自研的 DeepSeek Harness 记忆插件,不移植任何既有记忆框架——对话结束后自动沉淀知识卡到本地 Markdown Vault(自研去重、自研 CJK 检索、可 git 管理),设置页提供图形化知识库(统计 / 搜索 / 知识图谱 + 侧边栏一键弹窗),Agent 通过 memory_recall 工具按需召回历史上下文。零人工干预。
v0.1.0 · MIT
Web search for AI agents — one tool across 6 engines, routed to the cheapest + cached.
v1.1.1 · no license
Agent-native product catalog: 300M+ products across US+SEA. Search, compare, deals.
v0.40.2 · MIT
Live data for AI agents — search, research, markets, crypto, X/Twitter. Pay-per-call via x402 micropayments.
v1.0.0 · MIT
Search companies, enrich contacts, and reveal emails and phones from your AI agent.
— · no license
last30days-cn 是一个 AI Agent 技能(Skill),能够自动搜索中国互联网 8 大主流平台最近 30 天的内容,综合分析后生成有据可查的研究报告。
v0.1.0-safe.5 · MIT
Enables safe coordination of Herdr coding agents with lease-scoped reviewer and writer lifecycles, semantic waits for agent states, and read-only topology inspection, while prohibiting arbitrary shell execution and unscoped lifecycle operations.
— · Apache-2.0
Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java25. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.
— · MIT
MCP Toolkit for Flutter AI Agent Driven Development (MCP/CLI + custom client side tools) - via closed feedback loop (visual & semantic snapshot) and high client side customization adaptable for any Flutter app. Nowadays it is often called as agentic harness.
— · MIT
Enables AI agents to generate images on a local Stable Diffusion Forge Neo instance, automatically inferring prompt style and sampling parameters from the user's setup and past generations, and providing tools for LoRA search, model management, and module checks.