Framework
Custom agents
57,745 Custom AI agents indexed on MeshKore — the most complete public catalog, ranked by popularity and updated daily.
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Custom agents — page 173 of 578
一个面向 Web 版桌面 安全测试的 AI Agent 平台,集成侦察、分析、规划、工具调用与反馈学习,实现自主完成渗透测试工作流An AI Agent platform for web-based security testing, integrating reconnaissance, analysis, planning, tool orchestration, and feedback-driven learning to autonomously execute penetration testing workflows.
把Claude Code的UltraCode模式带给DSH,把 DSH 的一次性多 Agent 调度,升级为可生成、可保存、可治理、可观察、可恢复的 Workflow 层
Your Own Autonomous Computer Agent
Open communication and task handoffs for AI agents — self-hosted email, task threads, approvals, and webhooks over MCP and REST. Apache-2.0.
Source-backed, production-first FDE interview fieldbook with cases, scorecards, and current role research.
NourishAI 2026 Fitness Coach: Healthy Meal Planner, Tasty Recipes & Community Hub
Build & Auto-Optimize LLM Apps in 2026: The Ultimate AdalFlow Guide
SmartLabel AI 2026: Auto-Annotate Any Object via LLM-Powered Prompt Parsing
Pluggable AI Skill Framework for Embedded Linux: 2026 Agentic Automation Guide
CoRT 2.0: Revolutionary Contextual Reasoning Toolkit for AI Agents 2026
Neuronto Agentic Resource Discovery (ARD) Index. Federated search across every public ARD registry, plus a verified tool index read from each MCP server's own tools/list, hybrid lexical and semantic retrieval, and ARD-Bench.
LLM-driven generator for Mythic Agents, Payload-Type and C2 Profiles.
A multi-agent evidence adjudication engine - normalize claims, weigh support and contradiction, render deterministic verdicts. Rust core, std-only, zero dependencies, with a TypeScript council viewer.
Zero downtime embedding upgrades
多智能体协同、自动化管线沙盒与商业验证试验仓 / Multi-agent sandbox and execution validation chamber
Tells your AI agent which parts of your idea already exist on GitHub, which to adapt, and which to just write — every repo verified live. MCP server, Claude Code plugin, and agent skill.
Python SDK for Scalekit — auth stack for agents. SAML, OIDC, SCIM, MCP Auth, agent auth, tool-calling.
案件看板 CaseBoard · 律师案件管理软件 / 法律 AI 办案工作台(0.4.x 开源源码,macOS · Windows,Tauri 2 + React 19 + Rust)。新一代案件看板 New 免费下载见 lawtools.top。非商业用途免费(PolyForm Noncommercial)
让 AI 自己编译、烧录、上板验证 STM32 固件,崩溃能定位到源码行 | Closed-loop STM32 development for AI coding agents
A Simplified, lightweight HTTP client library with an assertion layer, a scenario-based API testing engine, and multi-provider agent orchestration
Just a sophisticated way to turn dumb chatbox llms into agents.
飞书经营数据助手:代码执行统计、多店铺隔离,表格更新包含写前备份、并发检查、读回核对与显式回滚。
麦搭子 · 麦当劳 MCP Skill:一句话拼单、券与积分算最优、AA 分账、生成可分享海报(真实接口实测 ¥75.00)
Self-hosted remote control for your coding agents: Claude Code and Codex chats, approvals, terminals, files, git and dev-server previews for every computer you own, from the browser or your phone. One Docker container on your own server.
3DCF / doc2dataset: token-efficient document layer with NumGuard numeric integrity and multi-framework exports for RAG & fine-tuning.
MoeGoe Android Application by calling Azure function API
Review-Driven Safe AI Coding
A wrapper class to hide the original calling address of a function
Build multi-model chatbots and agents from intent, with Claude Code and Codex.
A cross-platform desktop client supporting multiple LLM providers, integrated with AI search, developer tools, and third-party AI tool access.一款支持多种大模型(LLM)提供商的跨平台桌面客户端。同时集成AI 搜索、开发者工具集与第三方 AI 工具入口。
This is retrieval based Chatbot based on FAQs found at a banking website.
Instagram Auto DM responder with DialogFlow 🔥
Supacrawler's ultralight engine for scraping and crawling the web. Written in go for maximum performance and concurrency.
Allows you to run as many cursor windows as you want on 1 codebase, allowing for agentic coding sessions.
An Extensible Agentic Markup Language
FruityC2 is a post-exploitation (and open source) framework based on the deployment of agents on compromised machines. Agents are managed from a web interface under the control of an operator.
An Agent-based Social-ecological System python framework for coupling human-nature researches.
[ICLR 2022] Official implementation of paper: Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization
Sayiir — simple, embeddable durable workflow engine in Rust, node.js/python bindings. Checkpoint-based recovery, no deterministic replay. Simplified aternative to Temporal, Restate, Airflow..
UcxUcc is a simple but powerful team collaboration suite of applications designed to improve communications, information sharing and productivity for the businesses small and large.
Vector Database with support for late interaction and token level embeddings.
This project contains a step-by-step guide on how to design an advanced agentic memory for your LLM based applications.
JAX-based implementation for multi-agent path planning (MAPP) in continuous spaces.
Web3 wallet for AI agents (OpenClaw). Self-hosted, non-custodial, multi-chain EVM. 16 tools for send/balance/contacts/policy — keys never exposed to the model.
a list of various GPTs, categorized based on GPTs Agent, GPT apps or GPT plugins, etc..
基于ReAct构建的电商智能客服代理
A Java-based chat bot for Stackoverflow Chat
RinAI agentic chat stack. Includes graphRAG memory, parallel tool calling, DeepSeek R1 powered web search, advanced LLM gateway and active context summarization.
Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single agent tasks. These methods have further been extended to multiagent domains in cooperative, competitive or mixed environments. This paper primarily focuses on multiagent cooperative settings which can be modeled for several real world problems such as coordination of autonomous vehicles and warehouse robots. However, these systems suffer from several challenges such as, structural credit assignment and partial observability. In this paper, we propose Recurrent Multiagent Deep Deterministic Policy Gradient (RMADDPG) algorithm which extends Multiagent Deep Determinisitic Policy Gradient algorithm - MADDPG \cite{lowe2017multi} by using a recurrent neural network for the actor policy. This helps to address partial observability by maintaining a sequence of past observations which networks learn to preserve in order to solve the POMDP. In addition, we use reward shaping through difference rewards to address structural credit assignment in a partially observed environment. We evaluate the performance of MADDPG and R-MADDPG with and without reward shaping in a Multiagent Particle Environment. We further show that reward shaped RMADDPG outperforms the baseline algorithm MADDPG in a partially observable environmental setting.
Build production-ready AI agents in days, not months. Python 3.13+. Save development time with minimal code, deploy anywhere with confidence, and scale from simple assistants to complex multi-agent systems without the headaches.
pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"
This project demonstrates a multi-agent system using Google's Agent Development Kit (ADK), Agent2Agent (A2A) and Model Context Protocol (MCP). that integrates Notion for information retrieval and ElevenLabs for text-to-speech conversion.
This repository implements the proposed method from IEEE 2020 Paper Multi-Agent Reinforcement Learning Based Resource Allocation for UAV Networks Donate me: 8660186868668 MB Bank
Makes your codebase agent-friendly and keeps it that way. Small files so agents don't waste tokens. CLAUDE.md in every directory so they don't have to guess. Tests so they check their own work. Run once, it bolts rules into your global config — every project enforces standards automatically.
A full-stack MERN (MongoDB, Express.js, React.js, Node.js, Socket.IO) chatting application 💬 with friends having features like trending social chatting apps additionally with a Personal Chatbot 🤖
Multimodal Instruction Tuning for Llama 3
A library for building bots compositionally.
Official Arcade Python Client
LangGraph ReAct Agents with an ability to use MCP Tools dynamically
LangGraph+A2A+MCP 实现的Agent RAG
Write your repo rules in Markdown. AI enforces them — triages issues, reviews PRs, fixes bugs, merges code, cuts releases.
Prompt Hardener analyzes prompt-injection-originated risk in LLM-based agents and applications.
Light weight Claude Skills and Agents for every day tasks.
Turn every AI agent session into company intelligence. Nex silently unifies every AI agent conversation with your email, Slack, CRM, and 100+ tools into one knowledge graph. The more your team works, the smarter every agent gets.
A minimal implementation of GraphRAG, designed to quickly prototype whether you're able to get good sense-making out of a large dataset with creation of a knowledge graph.
LLM driven natural language to generate summaries, bibliography lists, download PDF reports autonomously and extract and visualise open domain data (curently uses GPlates, Macrostrat and Mindat).
Meta-specification framework for AI Agents to generate Spec-driven X toolkits automatically.
iMessage integration for Claude Code - autonomous agent via iMessage
Used OpenClaw to set up an autonomous multi-agent system that reads OpenClaw's own source repo, gathers info from the web, and writes a full book about the platform.
Outcome-based persistent memory MCP server for Claude Code and OpenCode. Good advice promoted, bad advice demoted. pip install roampal.
A data construction and evaluation framework to quantify privacy norm awareness of language models (LMs) and emerging privacy risk of LM agents. (NeurIPS 2024 D&B)
Motor de Inteligencia de Enjambre para el mercado hispano 🐟 | Sube cualquier informe, predice el futuro al instante | Adaptación en español por EnPíxeles Lab
Automated black-box REST API testing using graph-based modeling, LLMs, and multi-agent reinforcement learning.
Multi-agent AI platform on Cloudflare Workers — public preview (v0.1.x)
AI agent set for cloud security purple teaming, runs inside Claude Code, Gemini CLI, and Codex.
Quickly build MCP servers that expose your Django Rest Framework APIs as tools for LLMs and agentic applications to work with
Agent orchestration Web-UI
Claude Code hook that detects context compaction and injects a reminder to re-read AGENTS.md, preventing post-compaction rule amnesia in long sessions
An autonomous SRE agent that monitors cloud logs across multiple platforms, leveraging AI models from various providers to detect anomalies, perform root cause analysis, and automate remediation by creating GitHub Pull Requests.
Best DX + AX for Building the Best UX. An ultra-lightweight (~2.5KB) pure vanilla JavaScript framework with signal-based reactivity and built-in AI agent support.
A behavioral governance framework for GitHub Copilot agents — skills.md and instructions to make AI coding agents think like senior engineers.
Embedded single file SQL database written in Golang
Exploratory implementations of knowledge graph RAG (entity-based, Cypher, GraphRAG) and baselines on SEC 10-Q filings. Companion code to the Vector Institute post 'Enhancing RAG with knowledge graphs'. Archived.
自主实现面向医学知识的GraphRAG应用系统#大模型LLM#RAG#GraphRAG#Agent智能体#知识图谱KG
Agent Skills for traceable requirements, independent verification, human approval gates, and auditable AI-assisted engineering. Supports Claude Code, Cursor, VS Code, and GitHub Copilot; ISO 9001/27001 aligned (design phase), GxP-aware.
Local-first MCP server that gives coding agents structured context packets, code/schema facts, and diagnostics - backed by a local SQLite store.
A collection of MATLAB coding rules and guidelines optimized for use with AI coding assistants like Cursor, Windsurf, Claude Code, and GitHub Copilot
Complete Python toolkit for Claude Code — 20 skills, 11 agents, 11 commands for FastAPI, Django, SQLAlchemy, pytest, Allure, PostgreSQL, Redis, ClickHouse, Docker and more
A Model Context Protocol (MCP) server for platform-agnostic file capabilities, including advanced search/replace and directory tree traversal
Spec-driven development and context engineering for Claude Code, Cursor, Codex, and GitHub Copilot — backed by project context in Git.
Doraemon live in desktop
Multi-Agent Autonomous Medical Collaboration System