Agents
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]
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 — rajhesh.panchanadhan@gmail.com [Gmail alternative]
📖 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.
🏆 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.
🏆 Our goal is to create a super-in... See more
OpenBMB • GitHub - OpenBMB/XAgent: An Autonomous LLM Agent for Complex Task Solving
nanosearch
Nanosearch is an in-memory search engine designed for small (< 10,000 URL) websites.
With Nanosearch, you can build a search engine in a few lines of code.
Nanosearch supports the BM25 and TF/IDF algorithms.
Nanosearch also computes a link graph and uses the number of inlinks to a page as a ranking factor. This is useful for ranking ... See more
Nanosearch is an in-memory search engine designed for small (< 10,000 URL) websites.
With Nanosearch, you can build a search engine in a few lines of code.
Nanosearch supports the BM25 and TF/IDF algorithms.
Nanosearch also computes a link graph and uses the number of inlinks to a page as a ranking factor. This is useful for ranking ... See more
GitHub - capjamesg/nanosearch: Build a search engine from a website sitemap.
So right now, LLMs (Large Language Models) are all the rage. But in the future, it’s possible that the way we get things done is composing things with a combination of LLMs, SMMs (Small, Mighty Models), agents and tools.
It’s what I call Cognitive Composition (because it sounds cool and I have a longtime love affair with alliteration).
This is how we... See more
It’s what I call Cognitive Composition (because it sounds cool and I have a longtime love affair with alliteration).
This is how we... See more
Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]
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.
📖 Introduction
ReactAgent is an experimental autonomous agent that uses GPT-4 language model to generate and compose React components from user stories. It is built with React, TailwindCSS, Typescript, Radix UI, Shandcn UI, and OpenAI API.
🚀 Features
ReactAgent is an experimental autonomous agent that uses GPT-4 language model to generate and compose React components from user stories. It is built with React, TailwindCSS, Typescript, Radix UI, Shandcn UI, and OpenAI API.
🚀 Features
- Generate React Components from user stories
- Compose React Components from existing components
- Use a
eylonmiz • GitHub - eylonmiz/react-agent: The open-source React.js Autonomous LLM Agent
💸🤑 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 ap... 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 ap... 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.
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