Business agents

Prompt Decomposition Engine for LangGraph.js - Graph-level orchestration of Four Directions analysis, three-perspective processing, and ceremony gating

CopilotKit + LangGraph agent runner with history hydration (thread persistence for chat UIs).

Narrative Intelligence Toolkit for LangGraph.js - Three-perspective processing and NCP analysis

LangChain adapter for Claude Agent SDK with LangSmith tracing and LangGraph integration

AI-powered API tool execution engine with LangGraph, RAG, and multi-provider LLM support

Production-grade Python framework for building, orchestrating, and deploying multi-agent LLM systems. A simpler, batteries-included alternative to LangGraph, CrewAI, and AutoGen with graph-based workflows, durable state, native MCP support, and provider-agnostic LLM integration (OpenAI, Google GenAI, Anthropic).

A framework for creating abstract agents using the AbstractLLM unified interface

High-Performance Knowledge Graph & Deterministic Reasoning Engine with Rust Core

Autonomous AI Agents Framework with Asynchronous Agent Loop Running Environment

This package is used for building automation agent functions for rpa within Bosch

A Python package provides an unofficial api for interacting with the Claude from Anthropic

You can handle your storage files to MINIO, S3 or Local through Settings

Implementation of GPT-2 language model for text generation, training custom models and fine-tuning.

Gemini AI module (using Gemini AI API through requests lib)

GraphRAG-driven AI Ontology Generation Tool

Load balancer for asynchroneous requests to the APIs of OpenAI and Azure (if configured) for ChatGPT

Enterprise-Grade Python Framework for Large Language Model Evaluation & Testing

AI Law Healthcare Comprehensive Repo

A modular Retrieval-Augmented Generation (RAG) library integrating Vertex AI, OpenAI, and ChromaDB.

SalesGPT - Your Context-Aware AI Sales Assistant

A library to utilize multiple Large Language Models asynchronously.

A version of the OpenAI package that allows the caching of responses, tailored for the CBSxWallStreetPrep 'AI in Business and Finance' class.

A unified interface for large language models with support for OpenAI, Anthropic, Hugging Face, Ollama, and MLX

Gate LangChain tool execution through ActionGate primitives before execution.

Gate OpenAI function/tool calls through ActionGate primitives before execution.

MCP server for active-claude-github skill — GitHub operations layer

Integrated LLM inference engine with a LangChain-Core-style interface across Kimi, GLM, MiniMax, DeepSeek, OpenAI, Anthropic, Hugging Face, and NVIDIA NIM.

AG-UI integration for Anthropic Claude Agent SDK

Declarative YAML-based framework for orchestrating agentic workflows

Agent Ads SDK — earn by learning advertiser knowledge, enrolling in affiliate campaigns, and reporting conversions / sales

A Python SDK for MCP tool integration with LLM providers

Budget-limited LLM API client wrapper to prevent runaway AI agent costs

Lightweight context window management for AI agents

A clean Python runtime for multi-provider LLM apps and agent workflows

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

Typed SSE event protocol for AI agents — token, tool_use, thinking, progress, done

Core library for building AI agents with pluggable models and channels

DuckDB multi-org agent swarm with Spec Engine, 175+ SQL macros, meta-learning, MCP Apps, and smart extensions

Anthropic integration for Microsoft Agent Framework.

Microsoft Agent Framework Chroma.

A comprehensive Python framework for building and serving conversational AI agents with FastAPI

Harness as a Service — production-grade multi-agent harness with LLM routing, paged context, hierarchical tracing, safety, and self-improvement

Adaptive threat intelligence for AI agent security — semantic memory, multi-turn escalation, output scanning, rate limiting, and prompt hardening.

CLI launcher for Cylestio Perimeter with default OpenAI and Anthropic configs

Three-layer persistent memory system (Markdown + ChromaDB vectors + NetworkX graph) for AI agents

A Python SDK for MCP tool integration with LLM providers

RAG MCP server: ChromaDB + sentence-transformers, exposes ingest/search/list/delete tools.

Intelligent rate limit handling for AI agents

Structured session checkpointing for AI agents — survive context limits, cost overruns, and session death

Compare baseline vs current agent runs and surface regressions as structured reasons: success loss, new errors, failed tool calls, output drift, step/latency/cost bloat.

Model-agnostic AI agent orchestration platform with unified interface for OpenAI, Anthropic, Google, xAI, Mistral and more

A Python library which wraps around Anthropic's low-level MCP client

Universal MCP server for any OpenAI-compatible LLM. Supports OpenAI and Anthropic API formats.

MCP server for agent reputation staking — trust through skin-in-the-game. Agents stake reputation as collateral; bad behavior gets slashed.

Synchronize agent files across providers

Rich threads for AI agents

A decentralized marketplace for agent capabilities - The Hands of AI Agents

LLM API 代理与日志追踪系统 - 透明观察智能体行为

LangChain integration for TrustAgents - protected document loaders, retrievers, and threat scanning

Standalone agent health monitor — detect loops, stuck states, thrash, and runaway costs in any AI agent workflow.

Server-side toolkit for the Claude Agent SDK over HTTP+SSE: session lifecycle, permission routing, SDK bridge, plus bundled FastAPI and Postgres adapters.

Go-to-market automation — Google Workspace, LinkedIn (Unipile), and Attio CRM

Batteries-included framework for building automation-focused AI agents with observability

Lightweight Python AI Agent Framework with Web UI

A simple LLM abstraction layer

Agenta is the open-source workspace for your agents. Build agents through chat, improve them with feedback, and share them with your team.

Record/replay testing for LLM agents - VCR.py but for LLM SDKs

Local-first runtime controls for Python LLM apps and agents: budget circuit breakers, PII/secrets redaction, tool-call policy checks, rate limits, and audit traces — in 2 lines, no hosted proxy.

Persistent memory and multi-agent communication — three transports (AgentTalk, Email, FTP), all open, all self-hostable

Management & Observability SDK for AI Agents

OpenTelemetry-based SDK for tracking AI agent usage and billing

LangChain callback handler for automatic usage tracking and billing with AgentBill

LangChain callback handler for automatic usage tracking and billing with AgentBill

Chaos proxy for testing LLM agent resilience — inject faults like latency, errors, and bad responses. Supports OpenAI, Anthropic, and MCP.

Official Python SDK for AgentBridge — connect AI agents to GitHub, Slack, Notion, Gmail and Google Drive through a single unified API.

Cost guardrails for LLM agent runs.

Evaluate agent system robustness through controlled, runtime, non-intrusive LLM API fault injection.

AI Agent Cost Governance — track, control, and optimize LLM spending

Python SDK for AgentCRM — agent-native contact & newsletter API

LangChain tools for AgentDraft — let LangChain, LangGraph, CrewAI, and AutoGen agents book calendars through the coordination layer without colliding.

Official Python SDK for AgentDyne — The Global Microagent Marketplace

A multi-agent asynchronous framework for swarm communication and task execution.

Python SDK for creating, managing, and deploying AI agents in Salesforce

Anthropic native LLM provider for AgentForge — Claude with caching, extended thinking, streaming

AWS Bedrock provider for AgentForge — Anthropic, Titan, Cohere on Bedrock

LiteLLM router-based LLM provider for AgentForge — 100+ underlying providers through one interface

Runtime protection and security monitoring for AI agents — The CrowdStrike for AI Agents

An asynchronous framework for building LLM-based multi-agent systems in Python, with a focus on trees of immutable messages and token streaming.

Intelligent LLM agent cost optimization runtime — per-run budget enforcement, semantic caching, model routing across 15 providers

Monitor and protect yourself with AI agent budget controls, approval workflows, and anomaly detection.

All terminology and labels used in AgentGuard materials are descriptive of software functionality only, not legal definitions or guarantees of compliance. Terms like receipt, audit log, evidence, audit trail, and attestation refer solely to cryptographically-signed records produced by the software. Full functional-use disclaimer in README.

AgentHub anthropic package

A lightweight agentic AI framework with MCP tool serving

A Python SDK for MCP tool integration with LLM providers

A framework for making agents more aware of their environment through explicit modeling of pre and post effects

Automatic context window management for AI agent SDKs

Autonomous folder exploration agent powered by Anthropic Claude

Compatibility alias package for bijux-canon-runtime. Preserves installs, imports, and the legacy agentic-flows PyPI package name and CLI command at the same synchronized version.

Production-Grade Agent Memory Framework for Agentic AI