Semantic Kernel Description
Semantic Kernel, a lightweight open-source development tool, allows you to easily build AI agents, and integrate the latest AI model into your C# or Python codebase. It is a middleware that allows rapid delivery of enterprise grade solutions. Semantic Kernel is flexible, modular and observable, which is why Microsoft and other Fortune 500 firms use it. With security-enhancing features like hooks, filters, and telemetry, you can be confident that you are delivering responsible AI at scale. It's reliable and committed to non-breaking changes. Version 1.0+ is supported across C# Python and Java. Existing chat-based APIs can be easily extended to support other modalities such as voice and video. Semantic Kernel is future-proof and connects your code with the latest AI models that evolve as technology advances.
Semantic Kernel Alternatives
LangChain
We believe that the most effective and differentiated applications won't only call out via an API to a language model. LangChain supports several modules. We provide examples, how-to guides and reference docs for each module. Memory is the concept that a chain/agent calls can persist in its state. LangChain provides a standard interface to memory, a collection memory implementations and examples of agents/chains that use it. This module outlines best practices for combining language models with your own text data. Language models can often be more powerful than they are alone.
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Open Agent Studio
Open Agent Studio is more than just another copilot. It's a co-pilot builder with no code that allows solutions that are not possible in any other RPA tool today. We believe that other tools will copy our idea, and so we are giving our customers a head start in the next few months. They can target markets previously untapped by AI using their deep industry insights. Subscribers can access a 4-week free course that teaches them how to evaluate product concepts and launch a customized agent with a white label enterprise-grade. You can easily build agents by recording your keyboard and mice actions, such as scraping data and detecting a start node. The agent recorder allows you to build generalized agents in as little time as possible. Record once and then share it across your organization for future-proof agents.
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LangGraph
LangGraph gives you the precision and control to build agents that can reliably handle complex tasks. LangGraph Platform allows you to build and scale agentic apps.
LangGraph's flexible Framework supports diverse control flows, including single agent, multi-agent and hierarchical. It also handles realistic and complex scenarios. Moderation and quality loops are easy to add, ensuring that agents do not veer off course. LangGraph Platform can be used to template your cognitive architecture, so that tools, prompts and models can be easily configured with LangGraph Platform Assistants.
LangGraph agents are able to work seamlessly with humans, as they can write drafts and wait for approval before taking action. You can easily inspect the agent's action and "time-travel", to take a different course of action.
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Wordware
Wordware allows anyone to create, iterate and deploy useful AI agents. Wordware combines software's best features with the power of language. Remove the constraints of traditional tools that don't require code and empower each team member to iterate on their own. Natural language programming will be around for a long time. Wordware removes prompt from codebases by providing non-technical and technical users with a powerful AI agent creation IDE. Our interface is simple and flexible. With an intuitive design, you can empower your team to collaborate easily, manage prompts and streamline workflows. Loops, branching and structured generation, as well as version control and type safety, help you make the most of LLMs. Custom code execution allows you connect to any API. Switch between large language models with just one click. Optimize your workflows with the best cost-to-latency-to-quality ratios for your application.
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Pricing
Pricing Starts At:
Free
Free Version:
Yes
Company Details
Company:
Microsoft
Year Founded:
1975
Headquarters:
United States
Website:
learn.microsoft.com/en-us/semantic-kernel/overview/
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Product Details
Platforms
SaaS
Type of Training
Documentation
Webinars
In Person
Videos
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Phone Support
24/7 Live Support
Online
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