How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
Custom AI agent platform to speed up your work.
The main features of dust-tt/dust are: Application Frameworks, Language Model Development.
Projects with overlapping indexed features include: microsoft/semantic-kernel — Semantic Kernel is an artificial intelligence orchestration framework designed to integrate large language models with… stanfordnlp/dspy — DSPy is a declarative programming framework designed for building complex language model applications. It treats model… deepset-ai/haystack — Haystack is an orchestration framework designed for building complex search and generative AI pipelines. It functions… langchain-ai/langchain — LangChain is an orchestration framework designed for building, managing, and deploying applications powered by large… promptise-com/foundry — The foundation layer for agentic intelligence. oxford-cs-deepnlp-2017/lectures — This repository is a deep learning for natural language processing course and curriculum. It provides educational…
LangChain is an orchestration framework designed for building, managing, and deploying applications powered by large language models. It provides a unified integration layer that normalizes disparate model provider APIs into a consistent set of primitives, enabling developers to build complex, multi-step AI workflows that manage state, memory, and tool execution. The project distinguishes itself through a durable execution runtime that maintains persistent state across long-running processes by checkpointing progress to external storage. It models agent workflows as directed graphs, allowing
Semantic Kernel is an artificial intelligence orchestration framework designed to integrate large language models with existing codebases. It functions as an agentic workflow engine, providing a standardized interface that connects generative models to traditional application logic, data sources, and external tools to automate complex, multi-step business tasks. The platform distinguishes itself through a modular plugin architecture and a planner-based reasoning engine that decomposes high-level goals into executable sequences of functions. By utilizing a connector-based abstraction layer, it
Haystack is an orchestration framework designed for building complex search and generative AI pipelines. It functions as an agentic workflow engine, enabling the construction of automated sequences that allow AI agents to perform multi-step reasoning and data analysis. The framework utilizes a modular, component-based architecture that connects processing steps into directed acyclic graphs. By employing a provider-agnostic integration layer, it decouples core logic from specific external AI services and vector databases, allowing for the flexible exchange of underlying technologies. This desi
The foundation layer for agentic intelligence.