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.
Automatic Agent Learning from Scratch for QA via Self-Planning
The main features of zjunlp/autoact are: Agent Planning and Coordination.
Open-source alternatives to zjunlp/autoact include: cloudflare/agents — This is an open-source framework for building stateful, durable AI agents that run on Cloudflare Workers. It provides… lobehub/lobe-chat — Lobe Chat is a self-hosted AI platform that provides a web-based interface for interacting with multiple large… rockchinq/qchatgpt — QChatGPT is an LLM bot orchestration platform and multi-platform chatbot gateway. It serves as a bridge that routes… eureka-research/eureka — [[Website]](https://eureka-research.github.io) [[arXiv]](https://arxiv.org/abs/2310.12931)… facebookresearch/motif — This repository contains PyTorch code for Motif, training AI agents on NetHack with reward functions derived from an… thudm/agenttuning — 🤗 Model (AgentLM-70B) • 🤗 Dataset (AgentInstruct) • 📃 Paper • 🌐 Project Page.
This is an open-source framework for building stateful, durable AI agents that run on Cloudflare Workers. It provides a runtime for long-lived agents that maintain a persistent identity, local SQL storage, and real-time connections, utilizing a lifecycle where agents hibernate when idle and wake on demand. The project distinguishes itself through its multi-channel orchestration, allowing a single agent to be deployed across voice, email, and chat interfaces with unified state. It implements the Model Context Protocol for standardized tool and data exchange and includes a dedicated framework f
Lobe Chat is a self-hosted AI platform that provides a web-based interface for interacting with multiple large language models. It functions as an AI agent orchestrator, allowing for the design, scheduling, and management of autonomous agent teams to perform operational tasks. The platform features an extensible plugin framework and SDK to integrate external tools and custom function calls into workflows. It utilizes a provider-agnostic model layer to unify various AI APIs and includes a context-aware memory system to store structured user information for personalized interactions. The syste
QChatGPT is an LLM bot orchestration platform and multi-platform chatbot gateway. It serves as a bridge that routes messages between various instant messaging services and AI models using a unified codebase, functioning as an agentic workflow manager to handle complex multi-turn dialogues. The platform distinguishes itself through an extensible plugin framework that allows for the addition of custom logic and event-driven features via standardized protocols. It also includes a web-based bot controller, providing a browser interface to manage bot behavior and monitor real-time performance with
[Website](https://eureka-research.github.io) [arXiv](https://arxiv.org/abs/2310.12931) [PDF](https://eureka-research.github.io/assets/eureka_paper.pdf)