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Business agents
4,517 Business AI agents indexed on MeshKore — the most complete public catalog, ranked by popularity and updated daily.
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Business agents — page 30 of 46
Drop-in SDK to add an AI memory layer to any application. Works with OpenAI, Anthropic, Gemini, Claude.
Framework-agnostic memory layer for AI agents. Multi-signal retrieval, conflict detection, typed decay, checkpointing. Zero dependencies.
A Python SDK for MCP tool integration with LLM providers
Production-ready prompt management system with versioning, validation, and framework integrations for OpenAI, Anthropic, LangChain, and LiteLLM
Agentic Threat Hunting Framework - Memory and AI for threat hunters
Zero-dependency Python SDK for building AI agents: multi-agent orchestration, tool calling, MCP, RAG, memory, guardrails, evaluation and tracing.
Lightweight cost tracking for LLM pipelines and AI agents
AGENTICONTROL V0 MVP - Control plane for AI agents with synchronous blocking and asynchronous logging
Production-grade multi-agent framework with minimal dependencies
A package for building intelligent agents through OpenAI's API.
Production-grade, provider-agnostic Python framework for building agentic AI systems
Agentity MCP protocol plugin for Anthropic
LLM-neutral Python agent framework with built-in multi-channel messaging and document automation.
Cognitive continuity infrastructure for long-lived AI agents — cross-model state reconstruction, semantic recall, cognitive compression
Python SDK for AgentKeys — proxy API calls through a secure credential vault
Python SDK for AgentKeys — proxy API calls through a secure credential vault
Profile AI agents by intercepting LLM API traffic through a local MITM proxy
Lightweight A2A + MCP single-process agent framework
A small, focused library for building Claude-powered agents in Python.
Trace AI agent execution — LLM calls, tool calls, costs and latency
AgentLoop SDK — middleware that turns human corrections into searchable memory for your agent.
Drop-in Anthropic SDK wrapper for AgentLoop — adds memory retrieval and turn logging to messages.create calls. Supports streaming.
AgentMake AI MCP Servers - Easy setup of MCP servers running AgentMake AI agentic components.
Claude Agent SDK adapter for AgentMark - integrate AgentMark prompts with Claude Agent SDK
Claude Agent SDK adapter for AgentMark - integrate AgentMark prompts with Claude Agent SDK
Python SDK for agentmb — local Chromium runtime daemon for AI agents
A decentralized marketplace for agent capabilities - The Hands of AI Agents
Notarize, govern, and audit AI agents — cryptographic seal, runtime guard, and EU AI Act compliance docs
AI Reliability Engineering for LLM Agents - Monitor hallucinations, latency, and throughput
AgentOS - TGSC
Lightweight observability for AI agents — track costs, tokens, and traces
Zero-config agent observability SDK — auto-captures LLM calls, costs, and traces
Lightweight AI incident detection. Catch cost spikes, latency anomalies, and prompt bloat before they hit your users.
OpenAI- and Anthropic-compatible API server that routes through agent CLIs
A Python SDK for MCP tool integration with LLM providers
Safety controls for AI agents — budgets, approvals, rate limits, and audit logs
Visual Agent Workflow Engine — run AI agent pipelines from YAML configuration
The babysitter for your AI agents. Watches costs 24/7 and alerts you if something goes wrong.
A Python SDK for building multi-agent worlds that communicate through Slack.
Python SDK for the AgentTax API — sales tax, use tax, and capital gains for AI agents
The pytest of AI agents. Eval-driven testing for LLM applications.
Analyze AI agents to understand their performance and get improvement suggestions to make them better
Analyze AI agents to understand their performance and get improvement suggestions to make them better
Create a customer simulator (twin) based on a set of real conversations.
Production-grade multi-agent harness with LLM routing, memory, safety, and observability
Observability SDK for AI Agent Execution — catches hallucinations, silent failures, and missing executions
Production-grade AI agent framework — the Next.js for AI agents
A formal framework for governing autonomous AI agents through explicit resource constraints and temporal boundaries
A high-throughput and memory-efficient inference and serving engine for LLMs
Intelligent routing of LLM API calls across multiple providers with automatic fallbacks, cost optimization, and monitoring
Local knowledge base CLI with vector + keyword hybrid search and MCP support
A minimal, generic client for AI models (OpenAI, Anthropic, Google, xAI) with middleware support.
Package implementing adapter from DIAL Chat Completions API to Anthropic API
Python SDK for AINative Agent APIs - agents, swarm, memory, graph, vectors, chat, files, tables, threads, events
An asynchronous Python API client for LANraragi, written with aiohttp and pydantic for type validation.
Asynchronous object storage
LangChain toolkit for AiPayGent — 123 AI endpoints via x402 micropayments (USDC on Base)
LlamaIndex ToolSpec for AiPayGent — 123 AI endpoints via x402 micropayments (USDC on Base)
Anthropic provider for Airbender Python SDK
Specific software for Mistral beamline at ALBA Synchrotron
The LLM-Agnostic Agentic Framework
A reusable RAG package and optional Streamlit app for academic question answering.
The official Python library for the anthropic API
Unofficial Python SDK for Anthropic Admin API
MCP server for the Anthropic Admin API — manage your Claude org from any MCP-compatible client.
The official Python library for the anthropic API
The official Python library for the anthropic-bedrock API
Bridge Anthropic API to OpenRouter and OpenAI models.
A command-line tool for interacting with the Anthropic API
Drop-in replacement for the Anthropic SDK that silently handles Claude 4.6 breaking changes
An integration of Anthropic Claude models into the Haystack framework.
A lightweight wrapper around the Anthropic Python client for testing purposes
The official Python library for the anthropic API
Anthropic Tokens Counter - count tokens for Claude models
Fast local Claude tokenizer (Rust + PyO3). Falls back from Anthropic count_tokens API to embedded BPE tokenizer.
Simplifies the usage of Anthropic Claude's tool use by generating the schemas and parsing the responses for you.
Enterprise-grade RAG with Claude: Anthropic's reasoning AI + ZeusDB's high-performance vector storage with built-in safety.
Anthropic Auto Docstrings Generator
A thin, unified LLM abstraction layer. Call any LLM with a single API.
Anthropic Claude integration for APE (AI Programmatic Execution)
High-accuracy Structural RAG library using Abstract Syntax Trees (AST) for precise document navigation.
Python SDK for Aragora multi-agent debate framework
ArbitrageLab is a collection of algorithms from the best academic journals and graduate-level textbooks, which focuses on the branch of statistical arbitrage known as pairs trading. We have extended the implementations to include the latest methods that trade a portfolio of n-assets (mean-reverting portfolios).
The arc connecting you to every LLM. Minimal dependencies, maximum performance.
Provider-neutral asyncio toolkit for concurrent LLM calls with retries, scoped RPM/TPM admission, bounded streaming, resumable checkpoints, and deadlines.
An asynchronous handler for multiple LLM APIs
A Python library for making asynchronous LLM calls
ATE-GPT ('Ask, Think, Evaluate', powered by GPT) is a lightweight module for guiding a GPT-based LLM through a comprehensive thought process on any subject.
Universal LLM memory integration via LiteLLM - works with 100+ providers
Python SDK for Aura LLM Gateway - Open Responses API
A Python SDK for MCP tool integration with LLM providers
This is an autogen>=0.4 extension for integrating external models through the OpenAI API.
Guardrails for AI agents — hallucination detection, tool call validation, circuit breakers, rate limiting, and budget enforcement. One decorator. Any LLM framework.
A unified wrapper for multiple LLM APIs including OpenAI, Gemini, and Anthropic
Async Python wrapper for AWS Bedrock LLMs with caching, retries, and structured outputs
Anthropic Claude transport for Axio (direct API and Vertex AI)
Production RAG pipeline — grounded retrieval, source-cited answers, Precision@k + MRR eval
A simple, elegant Python framework for building AI agents with decorators, MCP support, and powerful utilities
General-purpose open-source RAG engine with multi-LLM, hybrid retrieval, GraphRAG, and MCP support
A Python package that provides an easier user interface for multiple LLM providers.