— · no license
The open-source memory and observability layer for AI agents — persistent memory, loop detection, hash-chained audit trails, and a live dashboard, automatic on pip install.
— · 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.
— · no license
Arkon: Enterprise AI Knowledge Hub & MCP Server. Self-hosted knowledge base for teams to manage RAG contexts, access policies, and AI skills. Connect Claude and other LLMs via Model Context Protocol (MCP) for automated, secure organizational knowledge integration.
— · BSD-3-Clause
mcp-language-server gives MCP enabled clients access semantic tools like get definition, references, rename, and diagnostics.
— · MIT License
Provides read-only access to a China-region Garmin Connect account, enabling retrieval of daily summaries, sleep, heart rate, HRV, training readiness, body battery, and activity data.
— · MIT
Provides read-only real-time market data, including snapshots, quotes, candlesticks, order book, tickers, and security search, from the Futu OpenAPI to MCP clients like Codex.
— · MIT
Provides tools, resources, and prompts for managing a local Markdown notes database, including create, read, update, delete, search, and statistics operations, with robust path traversal protection.
— · 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。
— · no license
专利侵权分析系统 —— 输入专利公开号,产出竞品侵权分析报告;同时打包成 skill,可被任意 agent(codex,claude code 等) 调用。
— · Apache-2.0
Code intelligence for agents: find the code that matters and keep your context window and tokens lean.
— · MIT
Persistent memory for Claude Code & Codex CLI. Auto-extracted knowledge graph, multi-representation embeddings, 3D WebGL visualization. LongMemEval R@5=97.45%. Self-hosted, Ollama-optional
— · MIT
Open-source marketing skills for founders. Keyword research, growth strategy, social search audit, competitor analysis. Install with npx skills.
v1.0.1 · MIT
Model Context Protocol (MCP) Server for Graphlit Platform
— · MIT
A code repository indexing tool to supercharge your LLM experience.
— · MIT
穷理证澈 Academic Research Skills: Plan the work, search the literature, draft and review manuscripts, run research code, and keep the evidence trail in one place.
— · no license
Provides a local SQLite-backed code context knowledge base with MCP tools for storing and querying code facts, call graphs, semantic info, evidence, and business mappings, plus versioned snapshot publishing and incremental sync.
— · no license
Enables discovery, retrieval, summarization, comparison, methodology and limitation analysis, research gap identification, and local management of academic papers via arXiv and Gemini AI.
— · no license
Enables deterministic, read-only retrieval of ServiceNow Knowledge articles, including search, article details, and binary attachments, via the ServiceNow Knowledge Management REST API.
— · no license
Provides MCP tools for hybrid knowledge base search, grounded Q&A with citations, agent execution, and ticket/account lookups.
— · no license
Provides four MCP tools for neural retrieval: personalized user recommendations, item-to-item similarity, cold-start text search, and explainable recommendation scores, enabling LLM agents to query a trained two-tower recommender over Amazon Reviews data.
— · no license
Enables document indexing and question answering with Retrieval-Augmented Generation, providing cited answers from user-supplied documents.
— · no license
Enables AI chat clients to perform market research and competitive intelligence by gathering company overviews, competitor lists, product portfolios, pricing snapshots, and recent news via live Tavily search.
v0.12.82 · SEE LICENSE IN LICENSE
AI-powered terminal coding assistant with 21+ coding models, persistent agent memory, MCP servers, and semantic code search. Hobbyist tier starting at $5/mo.
— · 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.