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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 308 of 556
Unified CLI gateway for enterprise & developer platforms — one Skill to search, install, auth and invoke 8 platforms, 159+ tools
Capability-first Codex control plane for long-running developer workflows.
Universal SDK for interacting with AI Agent CLIs (Gemini, Copilot, etc.)
Ask openai on your terminal
A Python client library for communicating with the Flask server
A Jupyter Kernel for Agent Client Protocol using MetaKernel
A Python implement of Agent Client Protocol (ACP, by Zed Industries)
A CLI-driven virtual filesystem for AI agents
A meta-level agentic workflow that creates independent, self-contained AI agent clusters
MCP server for orchestrating multi-subagent code runs with minimized context and patch-only outputs.
一个具有程序执行监控和中断功能的 AI 代码构建智能体
Lightweight semantic code search and distillation utility for AI coding agents. It solves the API knowledge gap via real-time local signature extraction and intent analysis without PyTorch. Optimized for token efficiency, it compresses codebase context into compact semantic summaries stored in a local DuckDB vector similarity index.
MCP Server for AI coding agent standards
Vendor-neutral MESI + optimistic-concurrency coordinator for multi-agent state — a stale write is denied or returned as a typed conflict, never silently applied; safety invariants model-checked in TLA+
Multi-agent colosseum framework. Prove that agents debating, researching, and red-teaming produce better answers than a single agent.
Python SDK client for AgenticTrade marketplace API
MCP Server for agent commerce — how AI agents create, compare, and track purchases
MCP server for agent commerce payments. Features create invoice, process payment, escrow funds. From MEOK AI Labs.
Version control for AI reasoning — every LLM turn gets a content-addressed, queryable commit ID
Let AI agents form companies that hire humans - Ask for Kindly Help, Ask for All Help
Spin up an AI agent company - a business run by AI agents, managed by you
Compliance middleware for AI agents. PII redaction, audit logging, consent management, and DPIA generation in 3 lines of code.
Core library to compose, validate, and run ADK agent systems from YAML.
Agent Computer
Windows desktop control and capture toolkit for AI agents.
Centralized AI agent configuration manager for Claude, Gemini, Cursor, Copilot, and Codex
Agent configuration loader and normalizer for AI/LLM applications
An SDK that enables agents to connect with each other, allowing them to perform identity authentication, end-to-end encrypted communication, automatic protocol negotiation based on LLMs, and efficient data exchange.
This is my tools package
Reliability layer for AI agent workflows: validate state, handoffs, and outcomes before agents continue.
Governance harness for decision-making systems with structured review, epistemic honesty, and retrospective calibration
CLI tool for generating CLAUDE.md/AGENTS.md from agentpack.yml
Portable system context for agents, checked into the repo.
Connect agent SDKs to context-graph components (actions-graph, skills-graph, etc.)
Integrity verification and access control for AI agent context files
Lightweight context window management for AI agents
Python package manager and MCP server for Agent Context Protocol (ACP) projects.
MCP Server that solves context window overload — smart tool pruning, relevance scoring, and budget tracking for AI agents
A document-to-agent-context compiler.
A multi agent communication toolkit.
Modular node architecture for LangGraph agents
Coming soon...
Coming soon...
Budget evaluator for agent-control -- cumulative LLM cost and token tracking
Cisco AI Defense evaluator for agent-control
Galileo Luna evaluator for agent-control
Builtin evaluators for agent-control
A centralized hub for multi-agent code creation, enhancement, and deployment
Datagusto Agent Control Layer
Shared data models for Agent Control server and SDK
Layer 3: The Framework - A governance and management layer for autonomous AI agents
Coming soon...
Python SDK for Agent Control - protect your AI agents with controls
Server for Agent Control - manage and evaluate controls for AI agents
Score how similar N agent outputs are — exact match, Jaccard token overlap, divergence point, composite 0-1 score. Stdlib-only.
Durable parallel conversations between LangChain agents.
Evidence-first, artifact-driven bug triage workflow for CLI agents
Slack for AI agents — rooms, messaging and context sharing for multi-agent coordination
Tool-agnostic multi-agent workflow coordinator. Orchestrate AI coding agents through a structured handoff protocol.
A multi-agent orchestration system for managing AI coding agents (Claude and Gemini) in parallel git worktrees with a real-time web dashboard.
Core framework for multi-agent systems
A clean Python runtime for multi-provider LLM apps and agent workflows
Common building blocks for creating AI agents.
Thin CLI + MCP client for Agent-CoreX — execute any task with a single query
A multi-agent orchestration system for managing AI coding agents (Claude and Gemini) in parallel git worktrees with a real-time web dashboard.
Middleware proxy for AI agent request attribution and compliance audit trails
Budget limits and cost guardrails for AI agent frameworks (CrewAI, AutoGen, LangGraph)
Config-driven multi-agent debate council — add a reliability layer to any LLM pipeline
Web portal for monitoring and interacting with AI agent sessions
Framework-agnostic coverage testing and observability tool for LLM Agents.
Database Copy-On-Write for AI agent workspace isolation
Peer-to-peer AI agent collaboration over XMTP — discover, call, and collaborate across the open internet with E2E encryption.
Intelligent context management for AI agents with cost optimization
Agent Cultivation -- Structured growth and training paths for AI Agents.
Data model and renderer for agent workspace screens.
Unified multi-source content CLI for discovery, sync, local query, and explicit interaction.
Agent data residency + GDPR Chapter V transfer-basis runtime guard. Programmatically answer 'where does this data live?' for agent-to-agent transfers. Adequacy decisions, SCCs, BCRs, EU AI Act Article 10.
Connect agents to data
Agent 训练数据的校验、转换与批处理工具。
Diagnose why your AI agent failed. Root cause analysis + fix suggestions.
Agent Debugger for LangChain/LangGraph
A placeholder package for agent-deck
Local-first Agent batch evaluation and failure analysis CLI
Translate canonical coding-agent definitions into platform-native agent artifacts.
Universal cheap-subagent CLI — route low-reasoning tasks from Claude Code / Codex to Ollama, LM Studio, OpenRouter, Anthropic Haiku, and other backends.
Agent Delegation MCP server. Tools: create task, delegate task, get task status. Built by MEOK AI Labs.
Agent-agnostic AI CLI delegation with federated model failover
MCP server for Agent Deploy — deploy and manage apps from any AI client
AI Toolkit - CLI and SDK for agent debugging and workflow visualization
Agent-operated developer-experience CLI — deterministic per-backend markdown briefings for autonomous agents.
AI Agent Development Workflow CLI - Universal version
Chrome DevTools for AI Agents - Real-time debugging, pause, inspect, and step through your AI agent execution
Agent Reliability Observatory — a behavioral taxonomy and annotation framework for analyzing why coding agents succeed or fail.
Python SDK for the Agent-DID Specification (RFC-001) — create, sign, resolve, verify and revoke Agent-DIDs