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add a few agents (#67)

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@@ -69,6 +69,34 @@ Adala: Autonomous Data (Labeling) Agent framework
- [GitHub](https://github.com/HumanSignal/Adala)
</details>
## [Agent4Rec](https://github.com/LehengTHU/Agent4Rec)
Agent4Rec is a recommender system simulator that utilizes 1,000 LLM-empowered generative agents. These agents, initialized from the MovieLens-1M dataset, exhibit diverse social traits and preferences.
<details>
### Description
- These agents are initialized from the [MovieLens-1M](https://grouplens.org/datasets/movielens/1m/) dataset, embodying varied social traits and preferences.
- Each agent interacts with personalized movie recommendations in a page-by-page manner and undertakes various actions such as watching, rating, evaluating, exiting, and interviewing.
### Links
- [Paper](https://arxiv.org/abs/2310.10108)
</details>
## [AgentForge](https://github.com/DataBassGit/AgentForge)
A low-code framework designed for the swift creation, testing, and iteration of AI-powered autonomous agents and Cognitive Architectures, compatible with various LLM models.
<details>
### Description
- Facilitates building custom agents and cognitive architectures with ease.
- Supports multiple LLM models including OpenAI, Anthropic's Claude, and local Oobabooga, allowing flexibility in running different models for different agents based on specific requirements.
- Provides customizable agent memory management and on-the-fly prompt editing for rapid development and testing.
- Comes with a database-agnostic design ensuring seamless extensibility, with straightforward integration with different databases like ChromaDB for various AI projects.
</details>
## [AgentGPT](https://agentgpt.reworkd.ai/)
A browser-based implementation of AutoGPT, accessible via a no-code platform
<details>
@@ -128,6 +156,22 @@ A browser-based implementation of AutoGPT, accessible via a no-code platform
- [Tweet](https://twitter.com/wangchunshu/status/1702512370785100133)
</details>
## [AgentVerse](https://github.com/OpenBMB/AgentVerse)
A platform designed for deploying multiple LLM-based agents in various applications, focusing on task-solving and simulation frameworks.
<details>
### Description
- Assembles multiple agents to collaboratively accomplish tasks.
- Allows custom environments for observing or interacting with multiple agents.
### Links
- Paper: [AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors](https://arxiv.org/abs/2308.10848)
- [Contact](agentverse2@gmail.com)
- [Twitter](https://twitter.com/Agentverse71134)
- [Discord](https://discord.gg/gDAXfjMw)
- [Hugging Face](https://huggingface.co/spaces/AgentVerse/agentVerse)
</details>
## [AI Legion](https://github.com/eumemic/ai-legion)
A platform for agents to work together, similar in spirit to AutoGPT and Baby AGI, but written in TypeScript
@@ -594,6 +638,25 @@ Exploration of Large Scale Language Model Society](https://ghli.org/camel.pdf)
</details>
## [ChatDev](https://github.com/OpenBMB/ChatDev)
A set of communicative agents for software development
<details>
### Description
- ChatDev is a virtual software company driven by a multitude of intelligent agents assuming different roles such as CEO, CPO, CTO, programmer, reviewer, tester, and art designer, each represented by unique icons.
- These agents collaborate in a structured organizational environment, fulfilling the company's mission to "revolutionize the digital world through programming." They engage in functional seminars focusing on design, coding, testing, and documentation.
- ChatDev aims to provide an accessible, modular, and extensible platform based on large language models, facilitating the study of collective intelligence in a controlled setting.
- The framework allows for extensive customization, empowering users to tailor the software development process, define phases, and establish specific roles within the virtual company.
- ChatDev is committed to open-source principles, encouraging contributions from the community and sharing advancements transparently.
### Links
- [Paper - ChatDev: Communicative Agents for Software Development](https://arxiv.org/abs/2307.07924)
- [Local demo](https://github.com/OpenBMB/ChatDev/blob/main/wiki.md#local-demo)
- [GitHub](https://github.com/OpenBMB/ChatDev)
</details>
## [ChemCrow](https://github.com/ur-whitelab/chemcrow-public)
A chemistry agent that performs tasks across synthesis, drug discovery, and materials design
@@ -1058,6 +1121,26 @@ the design of agents, chains, tools, retrieval functions, and collaborative work
</details>
## [JARVIS](https://github.com/microsoft/JARVIS)
JARVIS is a system to connect LLMs with the ML community.
<details>
### Description
- Task Planning: Using ChatGPT to analyze the requests of users to understand their intention, and disassemble them into possible solvable tasks.
- Model Selection: To solve the planned tasks, ChatGPT selects expert models hosted on Hugging Face based on their descriptions.
- Task Execution: Invokes and executes each selected model, and returns the results to ChatGPT.
- Response Generation: Use ChatGPT to integrate the prediction of all models, and generate responses.
### Links
- [Paper](https://arxiv.org/abs/2303.17580)
</details>
## [Langroid](https://github.com/langroid/langroid)
Multi-Agent framework for building LLM Applications.
@@ -1112,6 +1195,24 @@ Plan-Validate-Solve (PVS) Agent for accurate, reliable and reproducable workflow
</details>
## [LLM Agents](https://github.com/mpaepper/llm_agents)
A minimalistic library for building agents that leverage large language models to automate tasks through a loop of commands and tool integrations.
<details>
### Description
- Executing Python code in a REPL environment.
- Conducting searches on Google and Hacker News.
- Iterating through a cycle of Thought, Action, Observation, and New Thought based on the output of integrated tools.
- Dynamically appending new information to the prompt for informed decision-making by the agent.
### Links
- [GitHub](https://github.com/mpaepper/llm_agents)
- [Blog](https://www.paepper.com/blog/posts/intelligent-agents-guided-by-llms/)
</details>
## [Local GPT](https://github.com/PromtEngineer/localGPT)
LocalGPT is an open-source initiative that allows you to converse with your documents without compromising your privacy
@@ -1182,6 +1283,22 @@ Inspired by privateGPT, allows using your own documents as an information source
- [YouTube - LocalGPT: OFFLINE CHAT FOR YOUR FILES [Installation & Code Walkthrough]](https://www.youtube.com/watch?v=MlyoObdIHyo&ab_channel=PromptEngineering)
</details>
## [MemGPT](https://github.com/cpacker/MemGPT)
A system that intelligently manages different memory tiers in LLMs to effectively provide the extended context within the LLM's limited context window.
<details>
### Description
- Chat with your data - talk to your local files or SQL database
- Create perpetual chatbots with self-editing memory
### Links
- [Paper](https://arxiv.org/abs/2310.08560)
- [Documentation](https://memgpt.readthedocs.io/)
- [Discord](https://discord.gg/9GEQrxmVyE)
- [HuggingFace](https://huggingface.co/MemGPT)
</details>
## [Mentat](https://github.com/biobootloader/mentat)
Mentat is the AI tool that assists you with any coding task, right from your command line.
@@ -2603,6 +2720,25 @@ Questflow is a marketplace for autonomous AI workers with no-code.
</details>
## [ReactAgent](https://github.com/eylonmiz/react-agent)
A React.js Autonomous LLM Agent.
<details>
### Description
- Generate React Components from user stories
- Compose React Components from existing components
- Use a local design system to generate React Components
- Use React, TailwindCSS, Typescript, Radix UI, Shadcn UI
- Built with Atomic Design Principles
### Links
- [Documentation](https://docs.reactagent.io/)
- [Demo](https://www.loom.com/share/658adb2869174e81a39a0a2cdcfec4eb)
- [Discord](https://discord.gg/57JjYNKe)
- [GitHub](https://github.com/eylonmiz/react-agent)
</details>
## [Saga](https://saga.so/ai)
A digital AI assistant, an AI-powered workspace integrating notes, tasks, and tools