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AI agents

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awesome-agents

AI agents

Awesome Agents is a curated list maintained by kyrolabs that brings together open-source tools and products for building AI agents. The list is organized into categories such as frameworks, testing and evaluation, software development, conversational/general agents, games/simulation, memory and knowledge management, and automation browsers, and includes many well-known projects such as LangChain, AutoGen, CrewAI, MetaGPT, OpenHands, Aider, and others, and is continuously updated. It is not software itself, but rather a navigational collection of resources, suitable for developers, researchers, and teams to quickly find the frameworks, evaluation tools, and development environments needed to build AI agents.

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awesome-llm-powered-agent

AI agents

awesome-llm-powered-agent is a GitHub resource collection maintained by hyp1231, focused on research materials related to large language model (LLM)-powered agents. The repository aims to bring together papers, code repositories, blogs, and other resources related to LLM agents, covering topics such as autonomous task solving, general reasoning and planning, tool use, multi-agent collaboration, frameworks and open-source projects, Web agents, reinforcement learning agents, robotics and embodied intelligence, gaming and role-playing, trustworthiness, human interaction simulation, benchmarks, and surveys and tutorials. The repository description states that it is not actively maintained, mainly includes papers that appeared before October 2023, and contains a small number of later papers; new papers are welcome via PR submissions. This resource is suitable for researchers, developers, and anyone interested in the field of LLM agents to consult and reference.

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B2B Rocket AI Agents

AI agents

B2B Rocket AI Agents is a set of AI agent platforms for B2B sales scenarios, mainly used to automate prospecting, multi-channel outreach, and lead conversion. According to the official description, it can find, engage, and qualify leads 24/7, access more than 4 billion verified contact data records, cover channels such as email and LinkedIn, and help teams scale outreach, book meetings, and increase closing opportunities. The platform also provides data analysis and insights features to track performance and optimize campaigns. It is officially said to have received recognition from industry platforms and media, including being in the top 1% of sales software products and winning the SaaS Awards 2026 Best AI Sales Platform, among others. More detailed feature boundaries, pricing, and specific usage steps are not yet available.

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BabyAGI

AI agents

BabyAGI is an experimental self-building autonomous agent framework built by Yohei, and is not a production-grade tool. The original BabyAGI released in March 2023 introduced task planning as a development method for autonomous agents; that version has been archived and migrated to the babyagi_archive repository (September 2024 snapshot). The core of the current latest version of BabyAGI is a function framework called functionz, used to store, manage, and execute functions from a database, providing a graph-based structure to track imports, dependent functions, and authentication keys, and supporting automatic loading and comprehensive logging. It also comes with a dashboard for managing functions, running updates, and viewing logs. Installation is via pip install babyagi, and it can be imported in Python code and used to start the dashboard, accessed at http://localhost:8080/dashboard for use. The framework includes two preloaded function packs: default_functions provides function execution, key management, triggers, and logging; ai_generator provides AI description generation, embeddings, and prompt-based function selection. It also includes two experimental self-building agents: process_user_input in the code_writing_functions pack and self_build in the self_build pack. The project uses the MIT license. The author explicitly notes that the framework is not designed for production environments and should be used with caution.

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BabyCommandAGI

AI agents

BabyCommandAGI is an open-source project based on BabyAGI, aimed at exploring the potential of combining a command-line interface (CLI) with large language models (LLMs). By having the LLM converse with the CLI, it automatically executes and plans tasks, enabling scenarios such as automatic programming and environment setup. Users need to configure a Claude or OpenAI API key and run it in a Docker environment. The system is currently in an early stage and may loop execution or damage the environment; it is recommended to use it in a virtual environment and to be mindful of API costs.

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Baidu Qianfan

AI agents

Baidu Qianfan is an enterprise-grade one-stop large model platform centered on Agent development. The platform offers a rich selection of models, including the ERNIE series and mainstream open-source models such as DeepSeek, Minimax, Kimi, and GLM, all optimized for enterprise-grade performance. Its high-performance infrastructure is based on Baidu's heterogeneous computing clusters and AI-optimized storage, ensuring ultra-low latency and high-concurrency inference. The platform provides enterprise-grade security capabilities, achieving complete data isolation and compliance with international security standards through multi-layered data privacy protection and content moderation mechanisms. The platform is suitable for enterprises to build and deploy agent applications; specific usage methods, pricing, and detailed features are not yet provided.

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Bavior

AI agents

Bavior is an AI agent tool that increases a brand's visibility in AI answers through community content such as Reddit. It scans how engines including ChatGPT, Gemini, Perplexity, and Google AI Overviews evaluate a user's product, identifies the Reddit discussion threads these answers rely on, and automatically plans, writes, and publishes posts and replies to try to earn citations by AI. The tool provides a baseline scan starting free, supports approval mode and automatic mode, lets users choose whether to publish with Bavior's established accounts or their own accounts, and includes a record of each action.

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beebot

AI agents

BeeBot is an autonomous AI assistant project, positioned as a personal "worker bee", aimed at autonomously executing a variety of practical tasks. The project selects tools through AutoPack and supports acquiring more tools during task execution; it has built-in persistence, an e2b-compliant REST API, a websocket server for publishing all events, a replaceable filesystem simulation (in-memory, disk, or database storage), as well as dynamically adjusting history during task execution, and optional Helicone caching. Development is currently paused because the author believes that current (late 2023) LLMs are not yet sufficient for general-purpose autonomous AI; the author lists the conditions under which the project might be restarted. Installation requires cloning the repository and using poetry to install dependencies. Persistence is required; SQLite is officially supported, but using Postgres via Docker is recommended. Windows is not officially supported. The project provides a CLI, server startup commands, example API calls for creating and executing tasks, and a websocket connection endpoint; the Web UI is coming soon.

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Bennu AI

AI agents

Bennu AI is an autonomous AI agent that claims to handle operations, deploy code, fix bugs, and keep services running continuously. It offers zero-downtime monitoring, CI/CD automation, security scanning, one-sentence natural language deployment, and other features, and supports integrations with tools such as GitHub, Docker, Prometheus, Kubernetes, and Terraform. Users can describe goals in plain English, and the agent will read configurations, run checks, edit code, update infrastructure, and report results.

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