Agents
π Introduction
XAgent is an open-source experimental Large Language Model (LLM) driven autonomous agent that can automatically solve various tasks. It is designed to be a general-purpose agent that can be applied to a wide range of tasks. XAgent is still in its early stages, and we are working hard to improve it.
π Our goal is to create a super-in... See more
XAgent is an open-source experimental Large Language Model (LLM) driven autonomous agent that can automatically solve various tasks. It is designed to be a general-purpose agent that can be applied to a wide range of tasks. XAgent is still in its early stages, and we are working hard to improve it.
π Our goal is to create a super-in... See more
OpenBMB β’ GitHub - OpenBMB/XAgent: An Autonomous LLM Agent for Complex Task Solving
ht - headless terminal
ht (short for headless terminal ) is a command line program that wraps an arbitrary other binary (e.g. bash , vim , etc.) with a VT100 style terminal interface--i.e. a pseudoterminal client (PTY) plus terminal server--and allows easy programmatic access to the input and output of that terminal (via JSON over stdin/stdout). ht... See more
ht (short for headless terminal ) is a command line program that wraps an arbitrary other binary (e.g. bash , vim , etc.) with a VT100 style terminal interface--i.e. a pseudoterminal client (PTY) plus terminal server--and allows easy programmatic access to the input and output of that terminal (via JSON over stdin/stdout). ht... See more
GitHub - andyk/ht: headless terminal - wrap any binary with a terminal interface for easy programmatic access.
Self-Operating Computer Framework
A framework to enable multimodal models to operate a computer.
Using the same inputs and outputs of a human operator, the model views the screen and decides on a series of mouse and keyboard actions to reach an objective.
Key Features
A framework to enable multimodal models to operate a computer.
Using the same inputs and outputs of a human operator, the model views the screen and decides on a series of mouse and keyboard actions to reach an objective.
Key Features
- Compatibility : Designed for various multimodal models.
- Integration : Currently
OthersideAI β’ GitHub - OthersideAI/self-operating-computer: A framework to enable multimodal models to operate a computer.
π GPT Researcher
GPT Researcher is an autonomous agent designed for comprehensive online research on a variety of tasks.
The agent can produce detailed, factual and unbiased research reports, with customization options for focusing on relevant resources, outlines, and lessons. Inspired by the recent Plan-and-Solve and RAG (Retrieval Augmented Gene... See more
GPT Researcher is an autonomous agent designed for comprehensive online research on a variety of tasks.
The agent can produce detailed, factual and unbiased research reports, with customization options for focusing on relevant resources, outlines, and lessons. Inspired by the recent Plan-and-Solve and RAG (Retrieval Augmented Gene... See more
assafelovic β’ GitHub - assafelovic/gpt-researcher: GPT based autonomous agent that does online comprehensive research on any given topic
The problem I've found with all of them is it is difficult to get consistent solid results that you would want to build around. Even listening to podcasts this seems to be a theme with the people at the forefront of MAS LLMs.
r/AI_Agents - Reddit
In the open-source community, there are huge numbers of people leveraging AutoGen in creative ways, and solving surprising problems. One pattern that we see as fundamental is the "generator+critic" pattern, where one agent generates content (writing, code, etc.) and another agent critiques it (finds bugs, etc.) They can iterate until the solution i... See more
Shortwave β rajhesh.panchanadhan@gmail.com [Gmail alternative]
Sandbox for AI Apps & Agents
Secure sandboxed cloud environments made for AI agents and AI apps
Secure sandboxed cloud environments made for AI agents and AI apps
Sandbox for AI Apps & Agents
In an Agentic UX, an AI agent pulls weight across 3 categories: cognitive, creative, and logistical.
- Cognitive weight β the built-in agent pulls analysis and decision-making weight
- Creative weight β the built-in agent takes on visualization and media creation weight
- Logistical weight β the built-in agent takes tasks on operational and workflow weig
The agentic era of UX
AgentTuning: Enabling Generalized Agent Abilities For LLMs
π€ Model (AgentLM-70B) β’ π€ Dataset (AgentInstruct) β’ π Paper β’ π Project Page
δΈζη(Chinese)
AgentTuning represents the very first attempt to instruction-tune LLMs using interaction trajectories across multiple agent tasks. Evaluation results indicate that AgentTuning enables the agent capa... See more
π€ Model (AgentLM-70B) β’ π€ Dataset (AgentInstruct) β’ π Paper β’ π Project Page
δΈζη(Chinese)
AgentTuning represents the very first attempt to instruction-tune LLMs using interaction trajectories across multiple agent tasks. Evaluation results indicate that AgentTuning enables the agent capa... See more