Showing 5 open source projects for "docs"

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  • 1
    Ax

    Ax

    Build LLM powered Agents and "Agentic workflows"

    Build intelligent agents quickly — inspired by the power of "Agentic workflows" and the Stanford DSPy paper. Seamlessly integrates with multiple LLMs and VectorDBs to build RAG pipelines or collaborative agents that can solve complex problems. Advanced features streaming validation, multi-modal DSPy, etc. We've renamed from "llmclient" to "ax" to highlight our focus on powering agentic workflows. We agree with many experts like "Andrew Ng" that agentic workflows are the key to unlocking the...
    Downloads: 6 This Week
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  • 2
    Lecca.io

    Lecca.io

    Lecca.io | AI Agents & Automations

    Lecca.io is an AI platform that allows you to configure and deploy Large Language Models (LLMs) equipped with powerful tools and workflows. Build, customize, and automate your AI agents with ease.
    Downloads: 0 This Week
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  • 3
    agents.md

    agents.md

    A simple, open format for guiding coding agents

    openai/agents.md is a repository whose primary file is AGENTS.md, a proposed open, lightweight convention (i.e. Markdown file) for guiding coding agents in software repositories. The idea is that AGENTS.md acts as a “README for agents”: a predictable, structured place where humans can put instructions, conventions, build/test commands, environment setup, and other guidance that generative agents (e.g. code-writing, code-assisting tools) should consult when operating in the repo. Instead of...
    Downloads: 1 This Week
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  • 4
    Dash Data Agent

    Dash Data Agent

    Self-learning data agent that grounds its answers in layers of content

    ...It sidesteps common limitations of simple text-to-SQL agents by incorporating multiple context layers — including schema structure, human annotations, known query patterns, institutional knowledge from docs, machine-discovered error patterns, and live runtime context — to generate SQL queries that are both technically correct and semantically meaningful. The system then executes those queries against a database and interprets the results, returning human-friendly insights not just raw rows, while learning from errors and successes to reduce repeated mistakes.
    Downloads: 0 This Week
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  • 5
    Codel

    Codel

    Fully autonomous AI Agent that can perform complicated tasks

    Fully autonomous AI Agent that can perform complicated tasks and projects using terminal, browser, and editor.
    Downloads: 0 This Week
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