Katra — AI Agent 的认知记忆即服务。开源认知记忆基础设施,支持 MCP 协议。Katra — Cognitive Memory as a Service for AI Agents. Open-source cognitive memory infrastructure with MCP protocol support.
仓库/Skill 库
449 个
为 AI Agent 准备的考试评分知识脑:粘贴文档 URL,即可获得基于 MCP 的可搜索知识脑,并附带测量分数与已知缺口。AGPL。Exam-scored knowledge brains for AI agents: paste a docs URL, get a searchable brain over MCP with a measured score and known gaps. AGPL.
Overleaf 的替代品,在 LaTeX 代码编辑器内置类 Antigravity 的 agentic AI,每个项目免费支持不限数量的协作者。An Overleaf alternative with an inbuilt agentic AI (like Antigravity) in LaTeX code editor..with unlimited collabrators for each project for free
墨西哥开放法律情报:覆盖联邦、州、市三级来源的 3 万+ 部法律 · 350 万+ 可检索条文 · 三语界面(西班牙语 · 英语 · 古典纳瓦特尔语)· 一方 RAG 聊天 · OpenAPI + SDK · 为市民、会计师、律师与 AI Agent 像代码一样导航墨西哥法律。Open legal intelligence for Mexico. 30,000+ laws across federal, state, and municipal sources · 3.5M+ searchable articles · trilingual UI (Spanish · English · Classical Nahuatl) · first-party RAG chat · OpenAPI + SDKs · built so citizens, accountants, lawyers, and AI agents can navigate Mexican law as code.
潜伏在终端与桌面里的幽灵 AI 编程 agent「Wraith」· A ghost-themed AI coding agent for terminal & desktop
自主式 AI agent 框架——基于 LangGraph 的 brain、swarm 编排、Arabic-first 设计,并具备人在环(human-in-the-loop)安全机制。Autonomous AI agent framework — LangGraph brain, swarm orchestration, Arabic-first, with human-in-the-loop safety.
工厂本体驱动的数据问答框架(开源,Apache-2.0):把中小企业台账/MES/ERP 变成可自然语言问答的语义知识图谱。CSV进答案出,确定性规则引擎+本体GraphRAG+向量混合检索,本地化数据不出厂,换行业只换词典。
面向 AI Agent 的类脑持久化记忆:混合检索、知识图谱、睡眠-巩固生命周期、专家路由(HMoE),以及基于图 Laplacian 扩散的衰减、巩固、自动链接与谱检索子系统。提供 65 个 MCP 工具,本地运行,无需云端。Brain-like persistent memory for AI agents. Hybrid search, knowledge graph, sleep-consolidation lifecycle, expert routing (HMoE), and a graph-Laplacian diffusion subsystem driving decay, consolidation, auto-link, and spectral retrieval. 65 MCP tools. Local, no cloud.
面向 LLM Agent 的本地优先上下文引擎——在检索路径上无需 LLM 调用即可检索、权衡并压缩代码库到上下文窗口。采用 SQLite 知识存储,支持 CLI + HTTP + MCP,提供 know/miss Agent 契约。Local-first context engine for LLM agents — retrieves, weighs, and compresses your codebase into the context window with no LLM call on the retrieval path. SQLite knowledge store; CLI + HTTP + MCP; know/miss agent contract.
邮件的"大脑":MailFathom 将 IMAP 邮箱转化为自托管、AI 原生服务。邮件同步至自有 PostgreSQL,建立索引以支持搜索与检索,并通过 Model Context Protocol 服务于 AI Agent。当前为只读;后续将支持语义检索、问答与受控写入工具。.NET 10,Apache-2.0。A brain for your mail: MailFathom turns IMAP mailboxes into a self-hosted, AI-native service. Mail synchronizes into your own PostgreSQL, is indexed for search and retrieval, and is served to AI agents over the Model Context Protocol. Read-only today; semantic retrieval, answering, and gated write tools next. .NET 10, Apache-2.0.
Gebo.ai —— 开源、企业级、与 AI 供应商无关的平台Gebo.ai The open source Enterprise AI vendor agnostic platform
为 AI Agent 设计的记忆系统,学习真正起作用的教训:在行动瞬间注入经验,依据结果归功,以反证挑战。本地优先、多 Agent、测试门控。Memory for AI agents that learns what actually helped: lessons injected at the moment of action, credited by outcome, challenged by counter-evidence. Local-first, multi-agent, test-gated.
DeepThink-AIOS 是一个完全本地化的多 agent 系统,配备双沙箱代码/逻辑验证、ChromaDB RAG 记忆与动态 VRAM 多路复用。DeepThink-AIOS is a fully local, multi-agent System with dual-sandbox code/logic verification, ChromaDB RAG memory, and dynamic VRAM multiplexing .
在工作发生的地方就地捕获团队知识,由 agent 归档,并以可核验的引用形式给出回答。A team's knowledge, captured where the work happens, filed by an agent, and answered with citations you can check.
面向本地 AI Agent 的免费跨平台 UI,可在移动端、桌面端或无头 Docker 上编排 Ollama、嵌入式 GGUF 模型、DuckDB RAG 及 MCP 工具,无需 YAML 配置。A free, cross-platform UI for local AI agents. Orchestrate Ollama, embedded GGUF models, DuckDB RAG, and MCP tools on mobile, desktop, or headless Docker without YAML configs.
自托管 AI 聊天平台,支持多步工具调用、持久化 Python 沙箱、RAG 和 Deep Research。支持 Claude、GPT、Gemini 及任何 OpenAI 兼容服务商。Self-hosted AI chat platform with multi-step tool calls, persistent Python sandbox, RAG, and Deep Research. Supports Claude, GPT, Gemini and any OpenAI-compatible provider.
🚀 通过 70 个生成式 AI 实战项目转型技能,从入门到生产级架构师,涵盖真实场景应用。🚀 Transform your skills with 70 hands-on projects in Generative AI, guiding you from beginner to production-ready architect with real-world applications.
本仓库包含用于执行不同任务的 Gen AI 项目temThis repository contains Gen AI projects that performs different tasks
🤖 基于 AI 分析与智能搜索,定制化发现 ArXiv 上你感兴趣的最新论文🤖 Discover the latest research papers on ArXiv tailored to your interests using AI-powered analysis and smart search features.
AI 驱动的初创公司情报 Agent——手写 ReAct 循环、并行工具执行、实时联网搜索以及 RAG 增强的文档分析。不依赖任何框架,具备完整理解能力。AI-powered startup intelligence agent — hand-built ReAct loop, parallel tool execution, live web search, and RAG-grounded document analysis. No frameworks. Full understanding.
本地优先、可审计的技术文档与源代码知识编译器。Local-first, auditable knowledge compiler for technical docs and source code
基于大语言模型的智能研发效能助手。深度解析需求文档,精准识别逻辑漏洞;多维度生成测试用例,提升用例设计效率;构建可复用的测试知识库,将个人经验转化为团队资产。赋能 QA ,实现质量保障智能化。
基于 Rust 构建的 MCP 原生嵌入式 AI agent 记忆数据库,提供 REMEMBER/RECALL/FORGET/SHARE 原语,支持混合向量搜索、AES-256-GCM 加密、DuckDB/PostgreSQL 后端以及 Python、TypeScript 与 Go 的 SDKMCP-native embedded memory database for AI agents built in Rust. REMEMBER/RECALL/FORGET/SHARE primitives with hybrid vector search, AES-256-GCM encryption, DuckDB/PostgreSQL backends & SDKs for Python, TypeScript and Go.
🤖 使用 SurfSense 增强你的研究——一个可定制的 AI Agent,可连接多平台,实现更智能、高效的信息检索。🤖 Enhance your research with SurfSense, a customizable AI agent that connects to multiple platforms for smarter, effective information retrieval.
MedTrack 是基于 React 与 Spring Boot 构建的全栈医疗设备管理系统,通过基于角色的安全访问简化库存、维护与设备订购流程。MedTrack is a full-stack medical equipment management system built with React and Spring Boot. It streamlines inventory, maintenance, and equipment orders through secure role-based access.
免费、本地优先、按章节编排的 LLM、向量数据库、RAG 与 Agent 课程——从零到你的首个 AI agent。Free, local-first, chapter-wise curriculum for LLMs, Vector DBs, RAG & Agents — from zero to your first AI agent.
🔍 使用 DeepSearch 自动化数字足迹分析,借助高级 Google 搜索操作符高效收集多平台洞察。🔍 Automate digital footprint analysis with DeepSearch, using advanced Google search operators to gather insights from multiple platforms efficiently.
多模型协作与智能辩论平台 — Multi-Agent 并行工作流 + RAG + 知识图谱,让多个 AI 像专家团队一样辩论、推理、共创
🔬 基于 AI 与研究论文对话,通过高级语义搜索与 RAG(检索增强生成)技术提取洞见与摘要。🔬 Chat with research papers using AI, extracting insights and summaries through advanced semantic search and Retrieval-Augmented Generation techniques.
自托管语义代码搜索。将代码仓库和知识源索引至本地向量数据库,然后通过 CLI 或任何 MCP 兼容 Agent 进行自然语言搜索。Self-hosted semantic code search. Index repos and knowledge sources into a local vector DB, then search by natural language from CLI or any MCP-compatible agent.
后端无关的 C# 库,用于构建有状态 AI 实体,具备按角色记忆、工具调用、情绪系统和自主 Agent 行为。Backend-agnostic C# library for building stateful AI entities with per-persona memory, tool access, mood systems, and autonomous agent behavior.
用于评估检索增强视觉语言模型在循证医学视觉问答中表现的研究框架Research framework evaluating retrieval-augmented vision-language models for evidence-grounded medical visual question answering.
支持从多源智能检索、筛选与总结科学论文,提升研究与报告生成效率Enable intelligent retrieval, filtering, and summarization of scientific papers from multiple sources for efficient research and report generation.
实时更新的向量数据库项目、集成和基准评测全景图——每……刷新。Live-updating landscape of vector database projects, integrations, and benchmarks — refreshed every
在 LIBERO 与 RoboTwin2.0 上,基于状态融合解码与冻结视频骨干网络训练面向机器人操作的轻量级世界动作模型。Train lightweight world action models for robot manipulation using state-fusion decoding and frozen video backbones on LIBERO and RoboTwin2.0.