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liquidos-ai/AutoAgents

0
View on GitHub↗
681 stars·77 forks·Rust·Apache-2.0·16 viewsliquidos-ai.github.io/AutoAgents↗

AutoAgents

A multi-agent framework written in Rust that enables you to build, deploy, and coordinate multiple intelligent agents

Features

  • AI Agents and LLM Tools - Multi-agent framework with edge support.
  • Artificial Intelligence - Multi-agent framework with native edge support.

Star history

Star history chart for liquidos-ai/autoagentsStar history chart for liquidos-ai/autoagents

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Open-source alternatives to AutoAgents

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    Rig is a framework for building large language model applications, featuring a multi-provider client and a workflow builder for retrieval-augmented generation systems. It serves as an orchestrator for creating autonomous agents that can maintain conversation state and execute complex tasks through custom prompting and plugins. The project provides standardized interfaces for both completion and embedding model providers, allowing for unified request and response patterns across different engines. It also includes a vector database integration layer that defines a common interface for indexing

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  • 64bit/async-openai64bit avatar

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    Rust library for OpenAI

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  • boundaryml/bamlBoundaryML avatar

    BoundaryML/baml

    7,636View on GitHub↗

    BAML is a prompt engineering framework and LLM client generator that defines AI prompts as type-safe functions. It serves as a structured data extraction tool and workflow orchestrator, transforming unstructured model responses into strongly typed objects using a custom schema language and alignment algorithms. The project distinguishes itself by using a compiler to generate language-specific boilerplate code for API communication and output parsing. It features a dedicated environment for designing complex prompt templates with conditional logic and reusable snippets, and employs genetic alg

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See all 30 alternatives to AutoAgents→

Frequently asked questions

What does liquidos-ai/autoagents do?

A multi-agent framework written in Rust that enables you to build, deploy, and coordinate multiple intelligent agents

What are the main features of liquidos-ai/autoagents?

The main features of liquidos-ai/autoagents are: AI Agents and LLM Tools, Artificial Intelligence.

What are some open-source alternatives to liquidos-ai/autoagents?

Open-source alternatives to liquidos-ai/autoagents include: pydantic/monty — Monty is a sandboxed execution environment designed primarily for running Python code generated by AI models. It… boundaryml/baml — BAML is a prompt engineering framework and LLM client generator that defines AI prompts as type-safe functions. It… 64bit/async-openai — Rust library for OpenAI. awakenworks/awaken — AI agent runtime for Rust — type-safe state, multi-protocol serving, plugin extensibility. 0xplaygrounds/rig — Rig is a framework for building large language model applications, featuring a multi-provider client and a workflow… afshinea/stanford-cme-295-transformers-large-language-models — This project is a comprehensive technical course study guide and reference for learning the architectures and training…