Awesome Ai Agents 2026
Section: General Purpose · Pipeline-based. Search and retrieval.
ActiveScore 74
Entry
Haystack
Appears in 13 awesome lists
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,…
Open github.comdeepset-ai/haystack
Found in these lists
awesome-ChatGPT-repositories
Section: NLP · mag: Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-4, ChatGPT and alike). Haystack offers production-ready tools to quickly build complex question answering, semantic search, text generation applications, and more.
FreshScore 87
Awesome Data Analysis
Section: Tools · LLM framework for building search and question answering systems.
FreshScore 80
Awesome Generative AI
Section: Large Language Models (LLMs) · framework for building applications with LLMs and Transformers (e.g. agents, semantic search, question-answering)
SlowScore 62
Awesome LangChain
Section: Other LLM Frameworks · NLP framework to interact with your data using Transformer models and LLMs
FreshScore 90
Awesome LLMOps
Section: LLMOps · Quickly compose applications with LLM Agents, semantic search, question-answering and more.
ActiveScore 75
Awesome local LLM
Section: Retrieval-Augmented Generation · AI orchestration framework to build customizable, production-ready LLM applications, best suited for building RAG, question answering, semantic search or conversational agent chatbots
FreshScore 87
Awesome Machine Learning
Section: Python · A framework for building industrial-strength applications with Transformer models and LLMs.
FreshScore 93
awesome-nlp
Section: Libraries · End-to-end Python framework for building natural language search interfaces to data. Leverages Transformers and the State-of-the-Art of NLP. Supports DPR, Elasticsearch, HuggingFace’s Modelhub, and much more!
FreshScore 90
Awesome Open Source AI
Section: 5. Retrieval-Augmented Generation (RAG) & Knowledge · End-to-end NLP and RAG framework.
FreshScore 89
Awesome Production Machine Learning
Section: Industry Strength Natural Language Processing · Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-3 and alike). Haystack offers production-ready tools to quickly build ChatGPT-like question answering, semantic search, text generation, and more.
FreshScore 92
awesome-python
Section: LLM and Inference · 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,…
FreshScore 81
Awesome AI Agents: Tools, Resources, and Projects
Section: Repositories · Haystack is an end-to-end LLM framework facilitating the construction of applications powered by LLMs, Transformer models, vector search, and more, offering flexibility, transparency, and extensibility, with features including retrieval-augmented generation, document search, question answering,…
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
Opik
Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…
In 16 listsDetails
transformers
(formerly known as pytorch-transformers and pytorch-pretrained-bert) provides state-of-the-art general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet, CTRL...) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in…
In 14 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
Colossal-AI
(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).
In 14 listsDetails
Mem0
Mem0 is an intelligent memory layer for Large Language Models that enhances personalized AI experiences by retaining and utilizing contextual information across various applications. github | website | docs | discord | twitter | github profile | linkedin
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