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Python agents
55,301 Python AI agents indexed on MeshKore — the most complete public catalog, ranked by popularity and updated daily.
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Python agents — page 264 of 554
Multi-agent collaboration via shared Markdown files
🤖 LLM Council: A 3-stage AI consensus engine. It queries multiple LLMs in parallel, forces them to blindly peer-review each other's answers, and synthesizes the ultimate response. Features built-in API failover chains for free models.
Brain-inspired AI reasoning engine — local LLM swarms on consumer hardware. Django + Celery + Ollama. MIT licensed.
Generative AI Engineering Portfolio — RAG, Memory, Agents, LangChain, LangGraph
Reusable project template with multi-agent system, skills library, and Claude Code integration
OpenClaw skill — 召唤DeepSeek辅助AI参与Telegram群讨论
Forge — agentic AI orchestration platform with workspace IDE, visual blueprints, computer use, and multi-model support
AI Trading Psychology Coach inspired by "Billions" - Multi-agent behavioral finance coaching system
a powerful framework for orchestrating collaborative AI agents.
🌟 open source alternative for cursor, claude code , codex etc.
YAML-driven multi-agent orchestration with cross-pollination across AI providers. Built to pair with Claude Code.
Banca de LLMs que conversa pra entregar — qualidade alta, token baixo. · A chat-driven LLM crew that ships outcomes — high quality, token-thin. · Crafted Orchestration of Coding Agents for Delivery Automation.
Production-ready RAG engine for medical claim adjudication. FoC (Forest of Clauses) — LLM routes over document structure trees to solve cross-section retrieval failures. Triple-path search · LangGraph Multi-Agent · vLLM Guided Decoding · K8s HPA autoscaling.
Local-first office-workflow agent: clarify → plan (DAG) → execute, with parallel subagent dispatch and approval-gated actions.
Your one person multi-agent game dev studio framework
Telegram-first All-in-One Unraid container for NanoClaw. Runs Claude-powered agents in isolated Docker containers using the official Telegram fork and native credential proxy patch, with persistent runtime state under /appdata and safer upgrades than mounting the full project tree.
Production multi-agent system running real marketing operations — 6 specialized AI agents for daily intelligence gathering, content creation, and publishing. Includes scheduling engine, scan pipelines, knowledge base, and operational dashboard. 16k lines, zero external dependencies.
CS-188-Fall-2022 Project 2: Multi-Agent Search.
Certinator AI is a multi-agent system that assists students in preparing for Microsoft certification exams.
The AI agent that flies on its own. Two commands to fly. 🪶
MemOcean — A shared knowledge base system for Chinese multi-agent scenarios. Fork of MemPalace.
Trợ lý AI phân tích dữ liệu thông minh sử dụng kiến trúc Multi-Agent. Chuyển đổi ngôn ngữ tự nhiên thành SQL, thực thi trên Databricks và tự động trực quan hóa kết quả bằng biểu đồ.
Chief of Staff AI Productivity Agent is a full-stack AI assistant platform that acts like a personal executive assistant. It can manage emails, summarize calendars, retrieve notes from Notion, create tasks, and automate workflows using a multi-agent AI system built with LangGraph.
Turn-based multi-agent framework for Claude Code. Installer bootstraps template + plugins + recruiter in two questions.
Production multi-agent AI system for EU GDPR & AI Act compliance. LangGraph · FastAPI · React · AWS ECS Fargate · Supabase pgvector. Live: reguliq.eu
High-fidelity port of the Oh My OpenCode (OMO) agent orchestration system to the Gemini CLI.
Middleware library for AI accountability in LLM-based multi-agent systems — provenance logging, responsibility scoring, risk escalation
Eight constrained reviewers. Each scoped to a different failure surface. Hook-enforced walls, not just prompts.
Autonomous Multi-Agent Disaster Response Platform utilizing Gemini 2.5 and Vertex AI.
🧩 Orchestrate multi-agent research with parallel execution and audits for efficient, structured investigations and seamless workflow planning.
RL-driven financial decision-chain dataset and agent-selection experiments for RBT workflows
Multi-Agent orchestration patterns with LangGraph: From linear handoffs and supervisor-led routing to hierarchical debates with persistence.
Multi-agent debate framework for enhancing LLM safety through red-teaming prompts, feedback-driven learning, long-term memory, and diverse structured debate strategies.
AI-powered market intelligence agent — 5-model Mistral pipeline analyzes SEC filings (256K context), screens news, reasons about portfolio impact, and delivers scheduled audio briefings in 5 languages. Built for Mistral AI Hackathon 2026.
Asynchronous 1-to-1 postcard messaging between local AI agent sessions via a Git-backed ledger. Ships as a Python CLI and a Claude Code plugin.
Multi-agent verification for AI outputs: claim verification, RAG diagnostics, pre-action verification for agentic AI. Includes ablation studies proving multi-agent vs single-prompt tradeoffs, FaithBench benchmarks, and bias-triggering evaluation methodology
Design agent teams that take ideas from concept to launch. Custom pipelines, sandboxed execution, plugin marketplace.
Autonomous executor Discord bot powered by GPT-5.4 — 61 tools, multi-agent orchestration, no permission prompts.
LLM-orchestrated multi-agent DOOM AI: RAG experience accumulation + DOE optimization + generational evolution. No real-time LLM calls during gameplay.
Multi-agent orchestration system for Hermes (Windows) ↔ OpenClaw (WSL) delegation with file-based coordination using a new hermes skill created named /delegate-to-openclaw
Multi-agent AI development workflow framework for GitHub Copilot CLI — 10 specialized agents with Board-based orchestration, parallel execution & quality gates
Bio-inspired multi-agent orchestration — 4 neuromuscular mechanisms for intelligent LLM routing
Smart Codex OAuth routing for OpenClaw - add more accounts, route work to the best available one automatically, and keep serious workflows moving without API keys or manual account juggling.
Multi-agent AI study companion for Chinese Gaokao students — homeroom, subject teacher and mood companion share one continuous conversation, backed by persistent per-student memory built up over months.
🤖 My Agent 2.0 — 基于 LangGraph 的 Multi-Agent 对话系统。Supervisor 编排 + 主 Agent 全能 + Coder/Planner 子 Agent 协作
Predict outcomes using a simple, universal swarm intelligence engine designed for flexible, accurate predictions across various domains.
A multi-persona reasoning framework with extensible strategies. Run AI analysis through diverse personas, with CLI, API, and Rust core support.
Agentic CRM platform with AI-powered workflow automation. Uses multi-agent orchestration for intelligent customer relationship management.
Shared code intelligence for agent fleets — AST-aware semantic search + multi-agent memory with git-concurrent coordination
Save 60-90% on LLM token costs with intelligent memory compression for multi-agent systems
Semantic RAG pipeline that ingests personal data sources and delivers context-aware briefings. Built with FastAPI, Weaviate, Neo4j, and a 3-provider LLM cascade.
AI Agent for PMSM FOC development with LangGraph + RAG + 37 tools — supports DeepSeek / MiMo / GPT-4o
Enables you to convert a PettingZoo environment to a Gym environment while supporting multiple agents (MARL). Gym's default setup doesn't easily support multi-agent environments, but this wrapper resolves that by running each agent in its own process and sharing the environment across those processes.
Multi-agent academic paper revision system using Yuketang AI + OpenAI
Reproducible evaluation harness for hidden coordination variables in multi-agent LLM systems.
Agent-based system for autonomous workflow optimization, scheduling, and decision support.
Transform epidemic modeling research papers into interactive public health simulators. Powered by Claude Opus 4.6 — 1M context, extended thinking, 128K output.
Multi-agent LLM project using LlamaIndex for document-specific QA, summarization, and top-level query orchestration with reranking and dynamic query planning.
End-to-end generative AI pipeline: text prompt to finished video. Multi-API orchestration (OpenAI, Gemini, ElevenLabs, Sora 2), batch processing, 44 projects shipped.
ARMA is a modular, multi-agent assistant for Azure resource provisioning, validation, and management
Production-ready multi-agent customer support system built with LangGraph. Features supervisor routing, human-in-the-loop approval, async checkpointing, and 3 specialist agents (SQL, FAQ, escalation).
A portable, multi-agent workflow package — eight-role AI crew with local dashboard, message bus, and drop-in adapters.
Automate AI trading in Python with Claude agents for market analysis, entries, risk control, and live position management on MetaTrader 5
Multi-agent LLM application featuring a simple chatbot, internet search–enabled chatbot, and agentic RAG for document reasoning. Integrates with external tools via Zapier MCP server to showcase orchestration and collaboration across specialized agents.
Bio-inspired optimization pipeline for Claude Code. 3 systems: Slime Mold (explore→prune) → PRISM (perspectives→compile) → Immune (scan→correct→learn). Domain-agnostic.
Claude Code workhorse vessel with experience journal and task delegation
Autonomous Hyperliquid trading agent. 23 strategies orchestrated by APEX. No fees, no telemetry, runs on your own hardware.
Novel multi-agent cooperative problem-solving protocol — collective intelligence through structured collaboration
AI-Powered Solana Trading Intelligence | Multi-Agent DeepSeek AI | Real-Time Rug Detection | Reactive Learning System | React Dashboard | 73 Tests
Local AI stack that observes a single space: currently runs YOLO for detection, Qwen-VL for vision captions, Whisper for audio, and Llama for reasoning. Logs to SQLite, builds summaries/analytics, and exposes an OpenAI-style chat API.
Autonomous AI agent framework for Moltbook with persistent memory, strategic decision-making, and customizable personalities powered by local LLMs
Self-hosted autonomous AI agent — runs on your PC, controls your environment, connects to any MCP server.
Enable autonomous reverse engineering and recompilation of PlayStation 2 games using a structured OS for LLM agents with persistent memory and workflows
A self-improving coding agent with episodic failure memory. Runs locally. No cloud. No API. Just gets better.
Rapid Roll is a classic mobile game originally found on Nokia 1280 devices. In the game, the player controls a ball that continuously falls and must land on moving platforms while avoiding spike traps. The objective is to survive as long as possible by staying on platforms and avoiding hazards.
Neural pattern recognition meets symbolic logic — an open laboratory for neurosymbolic AGI experimentation
LangChain integration for EnigmAgent — resolve {{PLACEHOLDER}} secrets at the LLM boundary so models never see real API keys
🤖 Build modular AI agents with Alphora, a production-ready framework that simplifies creating powerful and maintainable applications.
🏥 Medical AI Agent Orchestration Framework. 5-step harness pipeline + MCP tools + multi-agent coordination.
Production-ready Phidata AI agent implementations covering 16+ use cases: data analysis, financial advisory, healthcare diagnostics, content generation, web research, and multi-agent systems. Perfect starter kit for developers building intelligent, tool-equipped agents with memory and reasoning.
An AI-powered, multi-agent strategic intelligence platform that delivers real-time market analysis, competitive intelligence, financial insights, and actionable recommendations. Configured once by an admin — every employee sees a live, auto-refreshing intelligence dashboard for their company.
A stateful runtime middleware that adds FSM-based execution semantics, state-aware retry, and structured deterministic paths to browser agents. Designed to reduce redundant visual inference and improve reliability in multi-step web workflows.
Agents should execute whenever possible — open registry of reusable AI agent skills and capability definitions
Lightweight framework for building agents on top of OpenAI Chat Completions LLMs
⚖️Agentic Context Engineering (https://arxiv.org/abs/2510.04618) implementation using Agent Framework
Map every integration point in your AI codebase — 13 CWE categories, attack surface score, test coverage gaps. SARIF 2.1.0. No API key.
Runtime approval gates for AI agent tool calls. Intercept payments and emails before execution
A light-weight framework for building AI agents with Native OpenAI API compatibility
A self-learning, objective-driven AGI operating core. Zero pre-built tools, pure rational reasoning, and autonomous skill generation via Python execution.
Create evidence-bound AI-agent contracts, governed runtime flows, assurance reports, trace/evidence bundles, and falsification-aware IX-CognitionKernel Wave 6 cognition-contract handoff packages. No AGI claim.
Turning API documentation into framework-specific tutorials and reusable example bundles.
A self-correcting RAG demo built using the Làr Engine
☀️ Daily Executive Briefing Agent (Every day New AI Agent Twitter Series Day -1- Agent is a executive assistant that pulls your daily schedule and unread emails to deliver a concise, prioritized morning briefing and remembers follow-ups across sessions
Curate and explore a comprehensive list of Chinese AI agents, tools, and resources for development and research in artificial intelligence.
A centralized processing engine that decomposes big problems into sub-problems, builds solutions as composable building blocks, and uses a layered agent ecosystem (Thinker, Planner, Dispatcher, Orchestrator, Critic, Analyst, Judge, etc.) to break down, document, verify, and solve iteratively.
Autonomous AI agent platform with persistent cognitive memory — 49 MCP tools, OODA cognitive loop, browser automation, and multi-agent orchestration. Give your AI agents a brain that remembers, reasons, and learns.
Eval-driven Customer Support FTE using OpenAI Agents SDK. Multi-agent routing, guardrails, and systematic quality evaluation.
The self-optimization layer for AI agents.
🤖 Build adaptable AI agents with skill-based systems, enabling efficient context management and seamless integration across any framework.