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Business agents
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Business agents — page 31 of 39
A lightweight set of tools to use several llm and embeddings apis
Unified Python interface for OpenAI, Anthropic, Google, and Ollama LLMs
A lightweight CLI tool and OpenAI-compatible server for querying multiple Large Language Model (LLM) providers
Command-line tool to use Large Language Models in your shell,including OpenAI, Anthropic, PalM, Mistral, Cohere, and more.
Know where your AI money goes. Track LLM API costs per feature, per model, per user.
A provider-agnostic LLM toolkit with tool calling, skills, and parallel execution.
Anthropic provider for llmtest
Production-quality performance validation and regression testing for LLM inference systems
Lightweight structured tracing for LLM applications
Lightweight LLM observability. SQLite-based tracing with zero infrastructure.
Automatically find cheaper LLM alternatives while maintaining performance
Automatically find cheaper LLM alternatives while maintaining performance
Record and replay LLM API responses for fast, free, deterministic tests
Lightweight multi-provider LLM client for Python
Lightweight Python SDK for the LLMWise multi-model API (chat, compare, blend, judge, failover).
Lightweight, extensible LLM toolkit: chat, embeddings, vector stores (Chroma, Milvus Lite).
Anthropic provider for lmux
A flask server for a chrome extension that querys llm models
A lightweight proxy server that converts Anthropic Messages API to OpenAI API
Claude (Anthropic) API emulator – LocalStack extension
Enterprise-grade AI security SDK with prompt injection detection for Python
Lyrie Agent SDK — embed the Lyrie Shield, Attack-Surface Mapper, Stages A–F validator, and pentest scanners in any Python project. Lyrie.ai by OTT Cybersecurity LLC.
Drop-in Anthropic client with MADB causal memory. One import, every turn persisted.
Unified Python interface for multiple LLM providers with cost tracking
MatrixLLM: OpenAI-compatible multi-provider LLM router (OpenRouter-style) with optional relay nodes
Synap memory integration for Anthropic's Claude Agent SDK
maxllm_gate - Intelligent LLM client with built-in rate limiting. Maximizes throughput and prevents 429 errors.
MCP server for interacting with AI agents through the Agent API
A Python SDK for MCP tool integration with LLM providers
An MCP server for bringing Anthropic's Agent Skills to any MCP-compatible agent.
MCP-Bastion security middleware for Anthropic Claude - prompt injection, PII, and rate-limit protection for AI agents
MCP server for Claude conversation extraction with enhanced export and search
MCP Server for web search via Gemini's grounding API
Python client, based on fastmcp, for connecting to MCP servers through multiple protocols, specifically designed to work with integrated language models.
MCP server for Ollama integration
MCP server for Ollama integration
MCP Server for rapid-rag - Local RAG with semantic search and LLM queries
Anthropic Claude tool use testing helpers for MCP Test Harness
Incremental Markdown translation with LLMs — track blocks in PO files, only retranslate what changed
MCP Server for MediaLLM
A specialized fork of Mem0 optimized for small, local Large Language Models (LLMs) running through Ollama.
3-level LLM cache (exact, semantic, prefix) with real-time token cost tracking
Anthropic Building Blocks for Meshagent
Anthropic (Claude) provider for Metorial
Mi-Claude — Chat with Claude AI from your terminal. No API key needed.
A flexible framework for building and deploying LLM-powered agents with multiple provider support, inspired by the mihrab that guides prayer in a mosque
A lightweight Python SDK for building AI agents with unified LLM providers, ReAct orchestration, and tool calling
A tool for OCR using Mistral. Ensure your MISTRAL_API_KEY is exported or in ~/.zshrc or ~/.bashrc
A firewall for LLMs — block prompt injection, jailbreaks, and PII exfiltration in real time.
A mock server that mimics OpenAI and Anthropic API formats for testing
Moda Anthropic instrumentation for LLM observability
Run Claude Agent SDK agents in Modal sandboxes
A unified framework for accessing multiple LLM providers with comprehensive CLI and machine interface
MOSS cryptographic signing integration for Anthropic Claude
MRI-Swarm - TGSC
A free, specialized MCP server for financial analysis and quantitative trading. Provides one-click setup for local financial MCP services with department-based architecture simulating financial company operations. Supports traditional indicators, price action analysis, economic calendar, fundamental analysis, and news integration for seamless LLM interaction and algorithmic trading.
Make Anthropic Model Context Protocol (MCP) tools compatible with LangChain and LangGraph agents.
GraphRAG-based MCP server: builds a repository knowledge graph (Tree-sitter + LightRAG) for Q&A and change planning.
多 Agent 协作运行时——脚手架 + 运行时观察台（spec v6 真协作 / 多 LLM provider / GSAP 仪表盘）
Achieve consensus across multiple LLMs through an AI judge coordinator
AI CLI Background Music Player - Plays work music in loop and done music when finished
A lightweight, dependency-free LLM agent framework with direct HTTP-based provider integration
A simple, easy-to-hack GraphRAG implementation
Python package to allow easy integration to Neo4j's GraphRAG features
Reference implementation: agentic RAG on Nepal government policy and legal documents. Offline-capable, Nepali + English, hybrid retrieval with citations.
Multi-provider LLM orchestration with fallback chains and three-tier cognition
A high-throughput and memory-efficient inference and serving engine for LLMs
Intelligent Agentic File Assistant powered by Claude
A robust, multi-model LLM calling package with intelligent context management, file processing, and advanced prompt handling
Natural-language-to-SQL agent loop with schema and execution tools, hints, feedback store, and eval harness. Imports as `nl2sql`.
A high-throughput and memory-efficient inference and serving engine for LLMs
Model Context Protocol (MCP) communication through NOSTR.
Model Context Protocol (MCP) communication through Nostr.
Make Anthropic Model Context Protocol (MCP) tools compatible with LangChain and LangGraph agents.
Intelligent No Frills LLM Router - A unified interface for multiple LLM providers
A high-throughput and memory-efficient inference and serving engine for LLMs
Anthropic Claude provider for the NucleusIQ AI agent framework (Messages API, native tools, prompt caching, extended thinking, streaming).
A Python SDK for MCP tool integration with LLM providers
OCC cryptographic proof signing for the Anthropic Python SDK
Zero-egress PII protection for Claude AI workflows via MCP stdio
Create CRM Lead via API with fiber coverages informed in a broadband CRM Line
Sales Commissions Agent Restrict
Compute estimated stock coverage based on product sales over a date range.
Sales Commissions Agent Restrict
Elegant Jinja2-based chat template parser for AI applications
A RAG (Retrieval-Augmented Generation) system using Llama Index and ChromaDB
Functions to conveniently run asynchronous Ollama workflows, including RAG support.
CLI for MCP Client for Ollama - An easy-to-use command for interacting with Ollama through MCP
A unified Python client to normalize interfaces across major LLM providers (OpenAI, Anthropic, Gemini, DeepSeek, xAI, OpenRouter).
A unified, provider-agnostic chat completions API server that seamlessly integrates OpenAI and AWS Bedrock through a single endpoint with intelligent format detection and conversion.
Swarms - TGSC
GPT agent logic with tool calling and dispatching
This is a simple openAI API wrapper that makes it easier for me (and hopefully for you as well) to send messages via an assistant and manage threads locally with a custom thread key (such as message author) that is associated the thread id stored by open ai.
An asynchronous Python package for integrating OpenAI assistant.
CLI for chatting through OpenAI's API.
This package allows you to genrate function paramater values by integrating OpenAI's API function capabilities through signature and docstring analysis.
OpenAI HTTP Proxy is an OpenAI-compatible http proxy server for inferencing various LLMs capable of working with Google, Anthropic, OpenAI APIs, local PyTorch inference, etc.
A helper library for estimating tokens used by messages sent through OpenAI Chat Completions API.
OpenAI-Parallel-Toolkit is a Python library for handling multiple OpenAI API keys and parallel tasks. It provides API key rotation, multithreading for faster task execution, and utility functions to boost your OpenAI integration. Ideal for efficient large-scale OpenAI usage.