Awesome Ai Agents 2026
Section: Lightweight / Minimalist · Lightweight, model-agnostic.
ActiveScore 74
Entry
Agno
Appears in 7 awesome lists
Build, run, and manage agentic software at scale. High-performance framework for multi-agent systems with memory, knowledge, and tools.
Open github.comagno-agi/agno
Found in these lists
Awesome LangChain
Section: Other LLM Frameworks · Build, run, and manage agent platforms.
FreshScore 90
Awesome LLM Resources
Section: 智能体 Agents · Agno is a lightweight library for building Agents with memory, knowledge, tools and reasoning.
FreshScore 87
Awesome local LLM
Section: Agent Frameworks · a full-stack framework for building Multi-Agent Systems with memory, knowledge and reasoning
FreshScore 87
Awesome Open Source AI
Section: 4. Agentic AI & Multi-Agent Systems · Build, run, and manage agentic software at scale. High-performance framework for multi-agent systems with memory, knowledge, and tools.
FreshScore 89
Awesome Prompts
Section: Frameworks · Agno
FreshScore 90
awesome-python
Section: LLM and Inference · Build, run, and manage agent platforms.
FreshScore 81
Often listed next to it
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
AutoGen
Microsoft's multi-agent conversation framework with a complete AgentChat layer covering agent loop, tool integration, termination conditions, and human-in-the-loop. The most comprehensive open-source reference for large-scale multi-agent harness design.
In 14 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
Semantic Kernel
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…
In 11 listsDetails