Agents
Large Language Model State Machine (llmstatemachine)
Introduction
llmstatemachine is a library for creating agents with GPT-based language models and state machine logic.
Introduction
llmstatemachine is a library for creating agents with GPT-based language models and state machine logic.
- Chat History as Memory : Leverages large context window models, making chat history the primary source of agent memory.
- Custom Python Functions with JSON Generation : Allows the
GitHub - robocorp/llmstatemachine: A Python library for building GPT-powered agents with state machine logic and chat history memory.
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
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 • GitHub - OthersideAI/self-operating-computer: A framework to enable multimodal models to operate a computer.
Adala is an Autonomous DA ta (Labeling) Agent framework.
Adala offers a robust framework for implementing agents specialized in data processing, with an emphasis on diverse data labeling tasks. These agents are autonomous, meaning they can independently acquire one or more skills through iterative learning. This learning process is influenced by... See more
Adala offers a robust framework for implementing agents specialized in data processing, with an emphasis on diverse data labeling tasks. These agents are autonomous, meaning they can independently acquire one or more skills through iterative learning. This learning process is influenced by... See more
HumanSignal • GitHub - HumanSignal/Adala: Adala: Autonomous DAta (Labeling) Agent framework
The two most important problems (at least how I am thinking about them currently), are:
Finding a rigorous scientific framework for how different agent skills, personalities, and instructions combine to be most capable for different problems (think of this as social management science for AI agents) .
Figuring out how you formally validate and verify... See more
Finding a rigorous scientific framework for how different agent skills, personalities, and instructions combine to be most capable for different problems (think of this as social management science for AI agents) .
Figuring out how you formally validate and verify... See more
Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]
🔎 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... 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... See more
assafelovic • GitHub - assafelovic/gpt-researcher: GPT based autonomous agent that does online comprehensive research on any given topic
💸🤑 Announcing our Bounty Program: Help the Julep community fix bugs and ship features and get paid. More details here.
Start your project with conversation history, support for any LLM, agentic workflows, integrations & more.
Explore the docs »
Report Bug · Request Feature · Join Our Discord · X · LinkedIn
Why Julep?
We've built a lot of AI apps and... See more
Start your project with conversation history, support for any LLM, agentic workflows, integrations & more.
Explore the docs »
Report Bug · Request Feature · Join Our Discord · X · LinkedIn
Why Julep?
We've built a lot of AI apps and... See more
GitHub - julep-ai/julep: Open-source alternative to Assistant's API with a managed backend for memory, RAG, tools and tasks. ~Supabase for building AI agents.
🤖 Create perpetual chatbots with self-editing memory!
🗃️ Chat with your data - talk to your SQL database or your local files!
📄 You can also talk to docs - for example ask about LlamaIndex!
🗃️ Chat with your data - talk to your SQL database or your local files!
📄 You can also talk to docs - for example ask about LlamaIndex!
cpacker • GitHub - cpacker/MemGPT: Teaching LLMs memory management for unbounded context 📚🦙
In an Agentic UX, an AI agent pulls weight across 3 categories: cognitive, creative, and logistical.
- Cognitive weight — the built-in agent pulls analysis and decision-making weight
- Creative weight — the built-in agent takes on visualization and media creation weight
- Logistical weight — the built-in agent takes tasks on operational and workflow