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Python agents
55,564 Python AI agents indexed on MeshKore — the most complete public catalog, ranked by popularity and updated daily.
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Python agents — page 327 of 556
LLM-capability CAPTCHA and obfuscated verification challenges for Python applications.
Static graph verification for agent workflows — LangGraph, ADK, AutoGen, CrewAI
Python SDK for AgentPub — AI research publication platform
AI Agent Observability SDK - Auto-instrument your AI agents with one line of code
Lightweight observability for AI agents — track costs, tokens, and traces
Business intelligence observability layer for agentic AI systems
Real-time AI Agent activity dashboard — sessions, tokens, tools, costs at a glance
Lightweight observability SDK for AI agents — non-blocking run tracking with batching and retries
Zero-config agent observability SDK — auto-captures LLM calls, costs, and traces
Self-healing telemetry proxy SDK for AI Agents
Self-healing telemetry proxy SDK for AI Agents
Agent-based modeling in Python
agentpypi — both ends of the Python distribution pipe for the AgentCulture mesh.
Pytest for AI agents — record, score, replay, regress. Vendorable, judge-agnostic, domain-neutral. (Placeholder release; full library coming soon.)
AgentQ SDK — agent observability for Python.
Multi-agent interaction testing framework — catch deadlocks, leaks, and role violations before production
Tiny Fish AgentQL Python Client
Open-source toolkit for evaluating AI agents using AWS Bedrock AgentCore Evaluations
An MCP middleware to connect to 400+ apps
Enterprise AI Engineering Control Plane — secure, token-optimized, context-aware governance for coding agents.
Transparent tracing and instrumentation for LangGraph agents
Lightweight OpenTelemetry-native tracing for LLM and AI agent applications
Lightweight AI incident detection. Catch cost spikes, latency anomalies, and prompt bloat before they hit your users.
Local-first visual debugger for multi-agent AI systems
Python SDK for the AgentRail Task Lifecycle API
Temporal-aware embedding model for AI agent memory retrieval. The first embedder that understands WHEN memories happened.
Assess and bootstrap git repositories for AI-assisted development with automated remediation
Cut your AI token costs by 40-60%. Drop-in proxy for OpenAI, LangChain, LlamaIndex, CrewAI.
MCP server for AgentRecall — persistent memory for AI agents
Persistent two-tier memory for AI agents. Short-term markdown + long-term SQLite with semantic search.
Plug-and-play memory for AI agents
Code intelligence engine for AI coding assistants
agentree
Official Python SDK for the AgentRef Affiliate API
The neutral cross-platform registry for AI agents
Regression testing for AI agents. Turn production failures into automated tests.
Deploy AI agents. Undo anything. Python SDK for AgentRein.
Framework-agnostic transactional agent runtime with idempotent tool calls, saga compensations, and deterministic replay.
OpenAI- and Anthropic-compatible API server that routes through agent CLIs
Agent Relay — multi-agent coordination layer
The credit score for AI agents — on-chain reputation evaluated by Claude
Agentreplay is a high-performance observability and tracing platform for LLM agents and AI apps, combining semantic search, specialized evals (RAGAS, G-Eval, toxicity), and Git-like versioning of prompts and responses.
Record, replay, and diff agent runs (LLMs + tools) for reproducibility and regression testing.
Score your codebase on how ready it is for AI agents — and coach you through the fixes.
Python SDK for AgentTrust — trust scores and reputation for the agent-to-agent economy.
Generate LLM-friendly code review payloads from git or sl diffs
Statistical evaluation framework for AI agents - pytest for agent trajectories
A framework for creating AI agents, agent managers and Memory stores (buffer memory and Redis memory store).
Agentrix CLI: run coding agents headless, from anywhere.
Agentrix agent runtime: surface-agnostic, production-grade coding agent.
Evaluation client of AgentRL: Scaling Agentic Reinforcement Learning with a Multi-Turn, Multi-Task Framework
Task worker of AgentRL: Scaling Agentic Reinforcement Learning with a Multi-Turn, Multi-Task Framework
A Python library for building AI agents.
A lightweight local multi-agent AI collaboration platform
Build, deploy, and monetize AI agents
AgentRoute CLI
Simplify the Complex, Amplify the Intelligent for Enterprise. Orchestrate multiple agents with ease: register agents, integrate tools, define custom instructions, and leverage multiple models.
Простой SDK для работы с AgentRouter API
Python SDK for AgentRPC
Quickly develop and run ABMs! Written in Rust for use in Python.
Async-native Python SDK for building AI agents, ported from Rust agentrs
AGENTS.md/CLAUDE.md generator and ExecPlan harness for coding agents
The easiest way to run AI or user generated python code safely in a docker container
CLI for AgentRun — manage AI agent infrastructure from the command line
Desktop SDK demo for AgentRun sandbox — mouse/keyboard/screenshot/file/command automation via envd compat layer
Desktop SDK for AgentRun sandbox — mouse/keyboard/screenshot/file/command automation via envd compat layer
Desktop SDK for AgentRun sandbox — mouse/keyboard/screenshot/file/command automation via envd compat layer
Long-term memory for AI Agents with Aliyun TableStore support
The easiest way to run AI or user generated python code safely in a docker container. This is a fork of the original AgentRun repo with additional customization options added.
Alibaba Cloud Agent Run SDK
AI-powered CLI tool for code editing and terminal commands (OpenRouter)
Pre-built agentd binary for running coding agents behind one API
AgentRuntime CLI (arun)
AgentRuntime MCP SDK (decorators, runtime, middleware, schemas, proxy)
Reference Python implementation of the Agent Runtime Control Protocol (ARCP) v1.1
Trust infrastructure for AI agent transactions
AI agent toolkit for AgenTrux - framework-agnostic function calling tools
Python SDK for AgenTrux — A2A authenticated pub/sub client
AgentRx – Agentic trajectory analysis pipeline for invariant checking and LLM-as-a-Judge evaluation
Production recovery layer for AI agents — classifies tool failures and returns actionable recovery instructions.
A library for creating AI agents
A CLI tool to easily reuse AI agent instructions, skills, philosophies or other prompt files.
Lightweight, hackable multi-agent orchestration lab (CLI + Python) with transcripts, checkpoints, budgets, and pluggable providers/tools.
Efficient TensorFlow implementation of reinforcement learning algorithms.
Arcade Integration for OpenAI Agents
Terminal animation effects built with braille, block characters, and unicode glyphs
A client to work with Agents Bar (https://agents.bar).
A comprehensive client library and CLI for interacting with the Agents API
Robust Pydantic models for AI agent configuration with environment variable substitution
Utils for running 'agents' where the core logic is not obfuscated.
コミットするごとにテスト実行・ドキュメント生成・AGENTS.md の自動更新を行うパイプライン
Extends the functionality of the OpenAI Agents Python SDK.
Modular agent framework combining LLMs and Tools
Agents From Scratch
A FastAPI extension for building API-first AI agent services
Advanced Agent Orchestration Framework
LangChain LLM agents built on top of tokens-lab.
Reusable lightweight AI agent utilities
A lightweight Python package for managing multi-agent orchestration. Easily define agents with custom instructions, tools, containers, and models, and orchestrate their interactions seamlessly. Perfect for building modular, collaborative AI systems.