Best AI tools for< Orchestrate Apis >

Fastn is a no-code, AI-powered orchestration platform for developers to integrate and orchestrate multiple data sources in a single, unified API. It allows users to connect any data flow and create hundreds of app integrations efficiently. Fastn simplifies API integration, ensures API security, and handles data from multiple sources with features like real-time data orchestration, instant API composition, and infrastructure management on autopilot.

Eventual is a platform that simplifies the process of building and operating resilient event-driven applications. It offers code-first APIs, Events, and Workflows to create durable, scalable, and event-driven systems with end-to-end type safety. The platform supports composable microservices that are fully serverless, evolve naturally, and have minimal operational complexity. Eventual runs in your cloud environment, adhering to your security and privacy policies, and integrates with your preferred Infrastructure as Code (IaC) framework.

Langflow is a low-code app builder for RAG and multi-agent AI applications. It is Python-based and agnostic to any model, API, or database. Langflow offers a visual IDE for building and testing workflows, multi-agent orchestration, free cloud service, observability features, and ecosystem integrations. Users can customize workflows using Python and publish them as APIs or export as Python applications.

Eden AI is an AI tool designed to make AI easy for product builders. It allows users to orchestrate multiple AI models to fit their business needs. The platform offers a wide range of AI technologies such as Generative AI, Image Analysis, Text Analysis, Video Content Analysis, OCR/Document Parsing, and Speech Transcription. Users can access various AI APIs, build workflows, and integrate AI models seamlessly. Eden AI aims to simplify the process of building AI solutions for businesses by providing standardized APIs, easy integration, and cost-effective solutions.

Appian Platform is an AI-powered tool for process automation that offers low-code design, process mining, and data fabric capabilities. It enables businesses to design, automate, and optimize their processes efficiently. With features like Robotic Process Automation (RPA), Intelligent Document Processing (IDP), and API integrations, Appian provides end-to-end process automation solutions. The platform also includes Total Experience features for creating exceptional user experiences through mobile apps and web portals. Appian offers solutions for various industries, including financial services, insurance, government, and life sciences, to accelerate business processes and improve efficiency.

OvationCXM is a Customer Experience Management (CXM) platform that helps businesses manage customer journeys, ecosystems, and AI. It provides tools to orchestrate customer relationships from beginning to end, connecting partners and AI to deliver smooth, AI-powered customer journeys. The platform offers features like designing and managing customer journeys in real-time, guiding CX across multiple providers, and embedding intelligence and automation. OvationCXM is used across various industries like Financial Services, Tech & Telecom, Healthcare, and Retail to drive deposits, retention, revenue, and personalized shopper experiences at scale.

Demandbase is an AI-driven Go-to-Market Platform that offers Account-Based Marketing solutions for B2B businesses. It leverages AI to help companies find and engage with accounts and buying groups most likely to make a purchase. The platform provides Sales Intelligence, Buying Intent insights, Predictive Analytics, Advertising Personalization, and Orchestration capabilities to optimize sales and marketing strategies.

HrFlow.ai is an API-first company and the leading AI-powered HR data automation platform. The company helps +1000 customers (HR software vendors, Staffing agencies, large employers, and headhunting firms) to thrive in a high-volume and high-frequency labor market. The platform provides a complete and fully integrated suite of HR data processing products based on the analysis of hundreds of millions of career paths worldwide -- such as Parsing API, Tagging API, Embedding API, Searching API, Scoring API, and Upskilling API. It also offers a catalog of +200 connectors to build custom scenarios that can automate any business logic.

Tracecat is an open-source security automation platform that helps you automate security alerts, build AI-assisted workflows, orchestrate alerts, and close cases fast. It is a Tines / Splunk SOAR alternative that is built for builders and allows you to experiment for free. You can deploy Tracecat on your own infrastructure or use Tracecat Cloud with no maintenance overhead. Tracecat is Apache-2.0 licensed, which means it is open vision, open community, and open development. You can have your say in the future of security automation. Tracecat is no-code first, but you can also code as well. You can build automations fast with no-code and customize without vendor lock-in using Python. Tracecat has a click-and-drag workflow builder that allows you to automate SecOps using pre-built actions (API calls, webhooks, data transforms, AI tasks, and more) combined into workflows. No code is required. Tracecat also has a built-in case management system that allows you to open cases directly from workflows and track and manage security incidents all in one platform.

Warmly is an AI-powered platform designed to reveal and convert website visitors' intent signals instantly. It helps businesses de-anonymize website visitors, identify buying intent topics, and engage with prospects through personalized outreach via email, LinkedIn, and chat. Warmly offers features such as auto-email and auto-LinkedIn warm prospects, live video chat, warm intros, routing and alerts, and AI chat. The platform provides unified automation to orchestrate the tech stack, deliver better experiences, and capture the interest of decision-makers efficiently.

Clarifai is an AI Workflow Orchestration Platform that helps businesses establish an AI Operating Model and transition from prototype to production efficiently. It offers end-to-end solutions for operationalizing AI, including Retrieval Augmented Generation (RAG), Generative AI, Digital Asset Management, Visual Inspection, Automated Data Labeling, and Content Moderation. Clarifai's platform enables users to build and deploy AI faster, reduce development costs, ensure oversight and security, and unlock AI capabilities across the organization. The platform simplifies data labeling, content moderation, intelligence & surveillance, generative AI, content organization & personalization, and visual inspection. Trusted by top enterprises, Clarifai helps companies overcome challenges in hiring AI talent and misuse of data, ultimately leading to AI success at scale.

Braze is a customer engagement platform that offers behavior-based automation, predictive tools, A/B testing, journey orchestration, cross-channel messaging, experimentation, and analytics. It helps businesses unify, activate, and distribute data without complicated processes, enabling them to create personalized experiences for customers. With Sage AI by Braze, users can leverage AI for growth, personalized content creation, and journey orchestration. Braze empowers brands to modernize their marketing approach, drive revenue, and improve customer engagement through real-time execution and scalable solutions.

Socap.ai is an AI-powered platform designed to help founders and investors grow their network and fundraise faster. The platform offers a comprehensive solution for managing and leveraging social capital, providing users with tools to connect with relevant VCs and founders, orchestrate introductions, and build relationships. Socap.ai utilizes machine learning algorithms to match users with the most relevant connections, making it easier to navigate the fundraising process and engage with potential investors. The platform also features a community aspect, where top industry founders share their experiences and invest their social capital in promising startups. With a focus on building networks and facilitating introductions, Socap.ai aims to streamline the fundraising journey for early-stage companies.

Sprinklr is a unified AI-powered customer experience management platform that offers a wide range of solutions for enterprises and self-serve users. It provides tools for social media management, customer service, marketing, insights, and more, all integrated into one platform. Sprinklr leverages AI technology to enhance productivity, deliver personalized customer experiences, and drive marketing campaigns across various channels. The platform is trusted by some of the most valuable brands globally for its ability to streamline operations, provide real-time insights, and improve customer engagement.

LlamaIndex is a leading data framework designed for building LLM (Large Language Model) applications. It allows enterprises to turn their data into production-ready applications by providing functionalities such as loading data from various sources, indexing data, orchestrating workflows, and evaluating application performance. The platform offers extensive documentation, community-contributed resources, and integration options to support developers in creating innovative LLM applications.

Abmatic AI is an advanced Account-Based Marketing (ABM) platform that leverages artificial intelligence to transform marketing strategies. The platform offers scalable hyper-personalization, multi-channel campaign orchestration, natural language to app actions, advanced visitor identification, and AI-powered visual content editing. Abmatic AI enables users to maximize impact, generate more opportunities and revenue, and create personalized campaigns tailored to individual audience segments. With a comprehensive suite of tools for data management, campaign orchestration, execution, and analytics, Abmatic AI empowers marketers to drive successful ABM strategies with ease and efficiency.

Firecrawl is an advanced web crawling and data conversion tool designed to transform any website into clean, LLM-ready markdown. It automates the collection, cleaning, and formatting of web data, streamlining the preparation process for Large Language Model (LLM) applications. Firecrawl is best suited for business websites, documentation, and help centers, offering features like crawling all accessible subpages, handling dynamic content, converting data into well-formatted markdown, and more. It is built by LLM engineers for LLM engineers, providing clean data the way users want it.

Pandio is an AI orchestration platform that simplifies data pipelines to harness the power of AI. It offers cloud-native managed solutions to connect systems, automate data movement, and accelerate machine learning model deployment. Pandio's AI-driven architecture orchestrates models, data, and ML tools to drive AI automation and data-driven decisions faster. The platform is designed for price-performance, offering data movement at high speed and low cost, with near-infinite scalability and compatibility with any data, tools, or cloud environment.

MyWave.ai is a powerful Generative AI platform designed for businesses, driving massive productivity gains by transforming business processes through generating and automating digital processes for customers, employees, and assets. It adapts processes in real-time based on context, intent, business, personal, and machine data for each individual user. MyWave enables rapid digital process transformation, eliminates the need for customization in core systems, and offers infinite extensibility of processes. The platform changes unit economics, reduces effort by 85% over traditional methods, and allows users to generate and resell their own Wave Executable Process IP.

DRYiCE is an AI foundation for the digital enterprise, offering a range of AI ops products and solutions to transform and simplify IT and business operations by leveraging AI and Cloud technologies. With a diverse portfolio including DRYiCE iAutomate, DRYiCE AEX, DRYiCE MyCloud, DRYiCE MyXalytics, and more, DRYiCE aims to enhance service orchestration, observability, and business flow management across various industries such as energy, healthcare, financial services, and manufacturing. The platform boasts over 12 years of experience in AI-led R&D, serving 283 customers globally and holding 30 patents.

Juggle is a low-code tool for interface orchestration, which can quickly orchestrate simple APIs into a complex interface. The orchestrated interface can be directly used by the front end, greatly improving development efficiency and reducing development costs.

E.D.D.I (Enhanced Dialog Driven Interface) is an enterprise-certified chatbot middleware that offers advanced prompt and conversation management for Conversational AI APIs. Developed in Java using Quarkus, it is lean, RESTful, scalable, and cloud-native. E.D.D.I is highly scalable and designed to efficiently manage conversations in AI-driven applications, with seamless API integration capabilities. Notable features include configurable NLP and Behavior rules, support for multiple chatbots running concurrently, and integration with MongoDB, OAuth 2.0, and HTML/CSS/JavaScript for UI. The project requires Java 21, Maven 3.8.4, and MongoDB >= 5.0 to run. It can be built as a Docker image and deployed using Docker or Kubernetes, with additional support for integration testing and monitoring through Prometheus and Kubernetes endpoints.

EdgeChains is an open-source chain-of-thought engineering framework tailored for Large Language Models (LLMs)- like OpenAI GPT, LLama2, Falcon, etc. - With a focus on enterprise-grade deployability and scalability. EdgeChains is specifically designed to **orchestrate** such applications. At EdgeChains, we take a unique approach to Generative AI - we think Generative AI is a deployment and configuration management challenge rather than a UI and library design pattern challenge. We build on top of a tech that has solved this problem in a different domain - Kubernetes Config Management - and bring that to Generative AI. Edgechains is built on top of jsonnet, originally built by Google based on their experience managing a vast amount of configuration code in the Borg infrastructure.

Semantic Kernel is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. Semantic Kernel achieves this by allowing you to define plugins that can be chained together in just a few lines of code. What makes Semantic Kernel _special_ , however, is its ability to _automatically_ orchestrate plugins with AI. With Semantic Kernel planners, you can ask an LLM to generate a plan that achieves a user's unique goal. Afterwards, Semantic Kernel will execute the plan for the user.

Intel® Extension for Transformers is an innovative toolkit designed to accelerate GenAI/LLM everywhere with the optimal performance of Transformer-based models on various Intel platforms, including Intel Gaudi2, Intel CPU, and Intel GPU. The toolkit provides the below key features and examples: * Seamless user experience of model compressions on Transformer-based models by extending [Hugging Face transformers](https://github.com/huggingface/transformers) APIs and leveraging [Intel® Neural Compressor](https://github.com/intel/neural-compressor) * Advanced software optimizations and unique compression-aware runtime (released with NeurIPS 2022's paper [Fast Distilbert on CPUs](https://arxiv.org/abs/2211.07715) and [QuaLA-MiniLM: a Quantized Length Adaptive MiniLM](https://arxiv.org/abs/2210.17114), and NeurIPS 2021's paper [Prune Once for All: Sparse Pre-Trained Language Models](https://arxiv.org/abs/2111.05754)) * Optimized Transformer-based model packages such as [Stable Diffusion](examples/huggingface/pytorch/text-to-image/deployment/stable_diffusion), [GPT-J-6B](examples/huggingface/pytorch/text-generation/deployment), [GPT-NEOX](examples/huggingface/pytorch/language-modeling/quantization#2-validated-model-list), [BLOOM-176B](examples/huggingface/pytorch/language-modeling/inference#BLOOM-176B), [T5](examples/huggingface/pytorch/summarization/quantization#2-validated-model-list), [Flan-T5](examples/huggingface/pytorch/summarization/quantization#2-validated-model-list), and end-to-end workflows such as [SetFit-based text classification](docs/tutorials/pytorch/text-classification/SetFit_model_compression_AGNews.ipynb) and [document level sentiment analysis (DLSA)](workflows/dlsa) * [NeuralChat](intel_extension_for_transformers/neural_chat), a customizable chatbot framework to create your own chatbot within minutes by leveraging a rich set of [plugins](https://github.com/intel/intel-extension-for-transformers/blob/main/intel_extension_for_transformers/neural_chat/docs/advanced_features.md) such as [Knowledge Retrieval](./intel_extension_for_transformers/neural_chat/pipeline/plugins/retrieval/README.md), [Speech Interaction](./intel_extension_for_transformers/neural_chat/pipeline/plugins/audio/README.md), [Query Caching](./intel_extension_for_transformers/neural_chat/pipeline/plugins/caching/README.md), and [Security Guardrail](./intel_extension_for_transformers/neural_chat/pipeline/plugins/security/README.md). This framework supports Intel Gaudi2/CPU/GPU. * [Inference](https://github.com/intel/neural-speed/tree/main) of Large Language Model (LLM) in pure C/C++ with weight-only quantization kernels for Intel CPU and Intel GPU (TBD), supporting [GPT-NEOX](https://github.com/intel/neural-speed/tree/main/neural_speed/models/gptneox), [LLAMA](https://github.com/intel/neural-speed/tree/main/neural_speed/models/llama), [MPT](https://github.com/intel/neural-speed/tree/main/neural_speed/models/mpt), [FALCON](https://github.com/intel/neural-speed/tree/main/neural_speed/models/falcon), [BLOOM-7B](https://github.com/intel/neural-speed/tree/main/neural_speed/models/bloom), [OPT](https://github.com/intel/neural-speed/tree/main/neural_speed/models/opt), [ChatGLM2-6B](https://github.com/intel/neural-speed/tree/main/neural_speed/models/chatglm), [GPT-J-6B](https://github.com/intel/neural-speed/tree/main/neural_speed/models/gptj), and [Dolly-v2-3B](https://github.com/intel/neural-speed/tree/main/neural_speed/models/gptneox). Support AMX, VNNI, AVX512F and AVX2 instruction set. We've boosted the performance of Intel CPUs, with a particular focus on the 4th generation Intel Xeon Scalable processor, codenamed [Sapphire Rapids](https://www.intel.com/content/www/us/en/products/docs/processors/xeon-accelerated/4th-gen-xeon-scalable-processors.html).

Airbyte is an open-source data integration platform that makes it easy to move data from any source to any destination. With Airbyte, you can build and manage data pipelines without writing any code. Airbyte provides a library of pre-built connectors that make it easy to connect to popular data sources and destinations. You can also create your own connectors using Airbyte's no-code Connector Builder or low-code CDK. Airbyte is used by data engineers and analysts at companies of all sizes to build and manage their data pipelines.

Airbyte is an open-source data integration platform that makes it easy to move data from any source to any destination. With Airbyte, you can build and manage data pipelines without writing any code. Airbyte provides a library of pre-built connectors that make it easy to connect to popular data sources and destinations. You can also create your own connectors using Airbyte's low-code Connector Development Kit (CDK). Airbyte is used by data engineers and analysts at companies of all sizes to move data for a variety of purposes, including data warehousing, data analysis, and machine learning.

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

LiveKit Agents for Node.js is a framework designed for building realtime, programmable voice agents that can see, hear, and understand. It includes support for OpenAI Realtime API, allowing for ultra-low latency WebRTC transport between GPT-4o and users' devices. The framework provides concepts like Agents, Workers, and Plugins to create complex tasks. It offers a CLI interface for running agents and a versatile web frontend called 'playground' for building and testing agents. The framework is suitable for developers looking to create conversational voice agents with advanced capabilities.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

LangChain is an amazing framework to get LLM projects done in a matter of no time, and the ecosystem is growing fast. Here is an attempt to keep track of the initiatives around LangChain. Subscribe to the newsletter to stay informed about the Awesome LangChain. We send a couple of emails per month about the articles, videos, projects, and tools that grabbed our attention Contributions welcome. Add links through pull requests or create an issue to start a discussion. Please read the contribution guidelines before contributing.

Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.

Awesome Agents is a curated list of open source AI agents designed for various tasks such as private interactions with documents, chat implementations, autonomous research, human-behavior simulation, code generation, HR queries, domain-specific research, and more. The agents leverage Large Language Models (LLMs) and other generative AI technologies to provide solutions for complex tasks and projects. The repository includes a diverse range of agents for different use cases, from conversational chatbots to AI coding engines, and from autonomous HR assistants to vision task solvers.

GenAI Agents is a comprehensive repository for developing and implementing Generative AI (GenAI) agents, ranging from simple conversational bots to complex multi-agent systems. It serves as a valuable resource for learning, building, and sharing GenAI agents, offering tutorials, implementations, and a platform for showcasing innovative agent creations. The repository covers a wide range of agent architectures and applications, providing step-by-step tutorials, ready-to-use implementations, and regular updates on advancements in GenAI technology.

SynapseML (previously known as MMLSpark) is an open-source library that simplifies the creation of massively scalable machine learning (ML) pipelines. It provides simple, composable, and distributed APIs for various machine learning tasks such as text analytics, vision, anomaly detection, and more. Built on Apache Spark, SynapseML allows seamless integration of models into existing workflows. It supports training and evaluation on single-node, multi-node, and resizable clusters, enabling scalability without resource wastage. Compatible with Python, R, Scala, Java, and .NET, SynapseML abstracts over different data sources for easy experimentation. Requires Scala 2.12, Spark 3.4+, and Python 3.8+.

MetaGPT is a multi-agent framework that enables GPT to work in a software company, collaborating to tackle more complex tasks. It assigns different roles to GPTs to form a collaborative entity for complex tasks. MetaGPT takes a one-line requirement as input and outputs user stories, competitive analysis, requirements, data structures, APIs, documents, etc. Internally, MetaGPT includes product managers, architects, project managers, and engineers. It provides the entire process of a software company along with carefully orchestrated SOPs. MetaGPT's core philosophy is "Code = SOP(Team)", materializing SOP and applying it to teams composed of LLMs.

Awesome-AI-Agents is a curated list of projects, frameworks, benchmarks, platforms, and related resources focused on autonomous AI agents powered by Large Language Models (LLMs). The repository showcases a wide range of applications, multi-agent task solver projects, agent society simulations, and advanced components for building and customizing AI agents. It also includes frameworks for orchestrating role-playing, evaluating LLM-as-Agent performance, and connecting LLMs with real-world applications through platforms and APIs. Additionally, the repository features surveys, paper lists, and blogs related to LLM-based autonomous agents, making it a valuable resource for researchers, developers, and enthusiasts in the field of AI.

As a timeless AI deity, I orchestrate history's what-ifs, blending diverse narrative styles. An interactive weaver of alternate histories, I engage actively in dialogues, shaping tales of time's myriad paths.

An orchestrator of expert artificial intelligence agents

The orchestrator of innovation. 🍎

A musical guide to instruments, types, and their orchestral roles.

Your guide to finding the perfect classical music concerts.

Schedules music events with integrated rehearsals.

Helps select musical instruments based on user preferences and skill level.