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LazyLLM: Easiest and laziest way for building multi-agent LLMs applications. It is listed under Development & Code on AI Registry as a free tool.
The tools below are approved listings in the same category, ordered by how closely their tags match LazyLLM. This is an automatic list. We have not written a researched verdict for LazyLLM yet, so treat it as a shortlist and check each vendor's pricing page before switching.
Built from each tool's listing. Vendors can update their own listing after claiming it.
Streamlining reinforcement learning with RLOps.
AgileRL builds tools for training specialized AI agents with reinforcement learning. Its main product, Arena, is an enterprise platform that turns a company's raw data and workflows into training environments and LLM datasets, then trains, tunes and deploys a small model that becomes an expert at that specific task ins...
Aser is a lightweight, self-assembling AI Agent frame.
Aser is an open source Python framework for building AI agents with native Web3 capabilities, developed by Ame Network. It lets developers assemble an agent in a few lines of code by combining a language model with modular components for knowledge retrieval, memory, tracing, reasoning, tools and social clients, and the...
Atomic Agent is a local-first AI agent.
Atomic Agent is an open source, local first AI operator that runs on the user's own machine and drives real tools: the browser, the file system, the shell and git. It runs a local model through llama.cpp, so there is no cloud account, no API key and no token bill, and every session is stored on the user's own disk. It ...
Build production-ready AI agents in both Python and Typescript.
BeeAI Framework is an open source framework for building production grade systems of multiple cooperating AI agents in Python or TypeScript. It is hosted by the Linux Foundation under open governance and focuses on reliability: rather than relying on prompting alone, it lets developers enforce deterministic rules on ag...
Your car as a chat-room agent: Raspberry Pi 5 + dashcam + local AI.
CarWatch is an open source project that turns a car into a member of your group chat. A Raspberry Pi rides in the vehicle, reads it through the OBD port, runs a 35 billion parameter language model locally, and joins a chat room as an agent that posts its own telemetry and answers questions, all without a cloud service ...
Synthetic data curation for post-training and structured data extraction
Bespoke Curator is an open source Python library from Bespoke Labs for building synthetic data pipelines. It is used to generate and curate data for post training language models and to extract structured information from unstructured inputs, with the library handling the orchestration of large numbers of model calls. ...