Agents

The LLM doesn’t call the tool directly (yet), but it does pass back to the application what functions should be called — and with which parameters. And, now, OpenAI lets multiple function calls be “invoked” at once.

But, this idea is not just about GPT. The open source world is moving towards this model as well.

This Is The Future…It’s Just Not Here... See more

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Start your project with conversation history, support for any LLM, agentic workflows, integrations & more.

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Why Julep?

We've built a lot of AI apps and... See more

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

Here are example ways to increase the success rate of these custom agents:

Provide a more focused, use-case specific system prompt to kick things off. Since you know what kinds of goals the agent supports, you can improve the odds of coming up with the right set of tasks initially. In fact, there’s nothing wrong with actually defining the set of... See more

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

📖 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

• Generate React Components from user stories


• Compose React Components from existing components


• Use a

... See more

The Semantic Layer

for every data app

Connect data silos, drive consistent metrics, and power your AI and analytics with context.

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... See more

memary: Open-Source Longterm Memory for Autonomous Agents

memary demo

Why use memary?

Agents use LLMs that are currently constrained to finite context windows. memary overcomes this limitation by allowing your agents to store a large corpus of information in knowledge graphs, infer user knowledge through our memory modules, and only retrieve... See more