Awesome Ai Agents 2026
Section: General Purpose · Microsoft enterprise. Azure integration.
ActiveScore 74
Entry
Semantic Kernel
Appears in 11 awesome lists
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…
Open github.commicrosoft/semantic-kernel
Found in these lists
Awesome AI Coding Tools
Section: AI Frameworks and SDKs · Microsoft's SDK for integrating LLMs into C#, Python, and Java applications.
FreshScore 85
Awesome Microsoft Azure Architecture
Section: Official Meetups and Calls
FreshScore 81
awesome-ChatGPT-repositories
Section: NLP · Integrate cutting-edge LLM technology quickly and easily into your apps
FreshScore 87
Awesome Generative AI
Section: Large Language Models (LLMs) · integrate cutting-edge LLM technology quickly and easily into your apps
SlowScore 62
Awesome LangChain
Section: Other LLM Frameworks · Microsoft C# SDK to integrate cutting-edge LLM technology quickly and easily into your apps
FreshScore 90
Awesome Open Source AI
Section: 4. Agentic AI & Multi-Agent Systems · SDK for building and orchestrating AI agents and workflows across multiple programming languages.
FreshScore 89
Awesome Production Machine Learning
Section: Industry Strength Natural Language Processing · 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…
FreshScore 92
Awesome Prompts
Section: Tools & Libraries · Microsoft's LLM SDK — now merging with AutoGen into Microsoft Agent Framework (2026)
FreshScore 90
Indie Hacker Tools Plus
Section: Agent 协议、MCP 生态与高影响力 Skill (Agentic Ecosystem) · 微软开源。支持多语言，是构建企业级 Agent 的核心技能框架。
FreshScore 86
Awesome AI Agents: Tools, Resources, and Projects
Section: LLM Models · Integrate cutting-edge LLM technology quickly and easily into your apps.
SlowScore 68
Often listed next to it
LangChain
Langchain integrates various providers like Anthropic, AWS, and OpenAI, and offers tools for components such as LLMs, chat models, and data analysis, supporting functionalities from Alpha Vantage to YouTube github | docs
In 20 listsDetails
LiteLLM
Unified proxy and SDK that routes to 100+ LLM providers behind a single OpenAI-compatible interface, with a Router handling retry/fallback across deployments, per-project cost and rate-limit tracking, and OTEL callback integrations. The right infrastructure layer when your harness needs provider…
In 16 listsDetails
LlamaIndex
(MIT) provides modules for structured outputs at different levels of abstraction, including output parsers for text completion endpoints, Pydantic programs for mapping prompts to structured outputs using function calling or output parsing, and pre-defined Pydantic programs for specific output types.
In 14 listsDetails
Haystack
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search,…
In 13 listsDetails
PydanticAI
June 2026 harness-first redesign built around the Capability primitive: a single composable unit bundling instructions, tools, lifecycle hooks, and model settings. The split between a small stable core and a fast-moving pydantic-ai-harness lets capabilities graduate as they prove essential, while…
In 12 listsDetails
DSPy
(MIT) is a framework for algorithmically optimizing LM prompts and weights. DSPy introduced typed predictor and signatures to leverage Pydantic for enforcing type constraints on inputs and outputs, improving upon string-based fields.
In 11 listsDetails
promptfoo
Test your prompts, models, RAGs. Evaluate and compare LLM outputs, catch regressions, and improve prompt quality. LLM evals for OpenAI/Azure GPT, Anthropic Claude, VertexAI Gemini, Ollama, Local & private models like Mistral/Mixtral/Llama with CI/CD
In 11 listsDetails
Mastra
TypeScript-native agent framework (from the Gatsby team) with 22K+ stars and 300K+ weekly npm downloads. Connects to 40+ providers through one standard interface, with built-in workflows, RAG pipelines, and agent orchestration. The @mastra/deployer handles serverless deployment, and the eval…
In 10 listsDetails