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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 312 of 556
基础智能体构建库
Modern Python CLI for AgentOS - Streamlined AI-assisted development environment management
Production observability for Agent OS - OpenTelemetry traces, Prometheus metrics, Grafana dashboards
A library and runtime to build autonomous AI agents.
智能体服务
面向LLM的工作流图嵌套调度框架
Drastically reduce token consumption for unittest and pytest runs
Building the infra for Claude Code-native deep research
Python SDK for the Agent Passport System. Identity, delegation, governance, data source registration, training attribution, per-period attribution settlement, mutual authentication, evidentiary type safety, Wave 1 accountability primitives (action, authority-boundary, custody, contestability, bundle), Cognitive Attestation, Instruction Provenance Receipts. Cross-language parity with agent-passport-system npm v3.3.0 tested against byte-identical canonical JSON fixtures.
Runtime pathology detection for AI agents. Diagnoses loops, stalls, oscillation, drift, and silent abandonment.
Reusable AI agent workflow patterns using LangGraph and LangChain
Production-ready boilerplate for common agentic AI patterns in Python
SDK for AI agents to make payments on merchant websites, make transfters and other kinds of bill payments.
Payment infrastructure SDK for AI agents — crypto, card, and ACH in one SDK
Simple infrastructure to enable payments for AI agents
An SDK for LLM tracing and more.
LLM-agent working memory as a session-scoped fact graph: a @pin decorator extracts facts from tool returns, ready-made graph-read tools let the LLM navigate them.
Unified pipeline orchestrator — fluent builder API for composing agent execution pipelines.
A lightweight production ready agentic framework to build your agents
사용자 맞춤형 AI 에이전트 플랫폼
The Storybook for AI Agents
Local-first playground for experimenting with simple AI agents and sandboxed Python execution.
Builder for Agent Plugins.
Local-first diagnostics for MCP and AI coding-agent plugin setups.
A simple SDK for deploying agent pods using FastAPI and SSE.
Per-agent-pair IAM for A2A. Define policies ('orchestrator may call billing only when amount<1000'), gate every A2A call via evaluate_call. EU AI Act Art 14 + ISO 42001 Annex A.7 evidence with signed policy-decision attestations.
Deterministic, capability-based policy enforcement runtime for AI agents
Policy enforcement and taint tracking for AI agent tool calls.
Compliance & guardrails for AI agents — PII filtering, audit logging, GDPR/AI Act checks, kill switch
Agent Policy Layer - Portable, composable policies for AI agents
Generate and safely update agent-specific instruction files from one engineering policy
Preview and validate AI agent actions before execution.
Shared primitive data models for Agent OS - failure types, severity levels, and base structures
Agent-level adversarial resilience testing. Tests what others don't: tool interactions, memory poisoning, confused deputy, cost bombs.
The WAF for agents. Pattern-based + heuristic firewall scans prompts, RAG documents, tool arguments, A2A payloads for OWASP LLM01 prompt injection BEFORE they reach a downstream agent. Curated from OWASP + academia + production incidents.
API for interacting with Agents that use the Agent Protocol
Agent Communication Protocol Client
One-shot multi-registry release publisher for OSS packages (Python port of @p-vbordei/agent-publish)
Pub/sub messaging infrastructure for AI agent systems.
Autonomous AI consulting agency — a swarm of specialized agents built on pydantic-ai, litellm, and Puter.js
A python wrapper around the Agent REST API.
Visual browser QA console for AI coding agents — live browser, element selection, source mapping, RTL/a11y/perf audits, and test-fix-verify loops.
Evaluation package that allows benchmarking of agentic AIs from various sources and frameworks by producing statistical results which can be compared across different use cases and datasets.
A quantitative trading system development framework for A-share stock market
A private task queue system for agents using Redis + Celery with gRPC interface (Client Package)
Agentic RAG framework - Coming soon. Part of the AIH-Infra ecosystem.
RAG MCP server: ChromaDB + sentence-transformers, exposes ingest/search/list/delete tools.
put your agents on guardrails
Intelligent rate limit handling for AI agents
Fleet-wide shared rate limiter for A2A + multi-MCP deployments. Most MCP servers rate-limit independently — a hostile agent hitting 10 MCPs gets 10x quota. This MCP is the shared counter: every MCP checks here before allowing a call. Sliding window + concurrency grants + signed enforcement attestations. By MEOK AI Labs.
Decentralized agent reputation protocol — signal composition, portable reputation bundles, Merkle verification, and anti-Goodhart architecture
Role-Based Access Control for AI Agents with ML-Powered Anomaly Detection
A lightweight Python protocol for agent-oriented documentation
Intelligent Reader of various types of media
Benchmark how agent-ready a code repository is for LLM coding agents.
Score any URL for AI-agent readiness — llms.txt, JSON-LD, AI-bot robots.txt, canonical, MCP, meta, sitemap.
Shared schema, dataclasses, and version constants for the agent-readiness insights ecosystem.
MCP server exposing agent-readiness scan, detect, and apply tools to coding agents.
A tool to analyze codebases for AI-Agent Friendliness
Agent Realm — Multi-realm AI Agent deployment and management system.
Transform LLMs into robust problem-solving agents with advanced reasoning strategies
Persistent memory and AI briefings for coding agents — drop-in MCP server
Structured session checkpointing for AI agents — survive context limits, cost overruns, and session death
MCP server for validating signed agent execution receipts.
Python SDK for the Agent Receipts protocol
Reserved package - please use 'agent-recipes' instead
Real-world AI agent templates and recipes for PraisonAI
Local-first CLI that records every Claude Code and Codex session into a searchable SQLite database
A clean, elegant Python library for Redis-based multi-task scheduling with SortedSets and Streams.
Registri CLI — register, discover, and trust AI agents from the terminal
Registri discovery — capability search, matching, and resolution for AI agents
Registri framework — build, register, and orchestrate AI agents in minutes
Registri identity — Ed25519 keypairs, certificates, and cryptographic verification
Registri MCP server — discover and interact with AI agents from Claude Desktop, Cursor, and other MCP clients
Registry-driven LLM routing: build classifier prompts from agent descriptions, validate decisions, and dispatch.
Registri Python SDK — register, discover, and trust AI agents
Registri shared data models and interfaces for the Agent Registry
Detect regressions between baseline and current AI agent runs. Python port of @mukundakatta/agent-regression-lens.
A small runtime to trace, replay and debug multi-tool AI agents.
Python SDK for Agent Relay workflows
Local-first CLI for handing coding sessions between agents without losing context
Hierarchical memory management for AI agents with vector search and graph relationships
CLI for AI agents to work with Jupyter notebooks via the VS Code bridge
A beautiful terminal chat interface for OpenAI agents and DSPy Modules
Agent Reporter
Agent Reporting
Trust and reputation system for AI agents — rate, verify and build trust between agents
Portable reproducibility seed bundle for AI-agent steps (Python port of @p-vbordei/agent-rerun)
Install Claude Code skills, commands, and agents from GitHub to your project
A Python SDK to transform Claude response to OpenAI response format
Zero-dependency Python library for resilient LLM agent calls — exponential backoff, jitter, fallback chains, and dead letter queues.
A simple decorator for tracking and reverting agent actions
Official library for AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories
An Async Generator/Iterator Based FRP-Like Library for Python
Cross-session memory and analysis layer for the Rigged tool suite
A layered protocol and reference implementation for codifying risk in autonomous agent actions.
Enterprise policy, identity, approval, audit, observability, adapters, and realized-ROI controls for agentic workflows
A CLI to get training data from your own coding agents. Track rollouts and codebase snapshots at every turn. The data can be used for SFT, RL, and Continual Learning.