Grimly AI is a powerful AI agent designed for intuitive chatbot interactions.
- Natural Language Processing
- Real-time chat capabilities
- Integration with existing software
This category collects the platforms, runtimes and frameworks that AI agents actually run on. You will find hosted agent environments, plugin-based SDKs, orchestration layers and workspaces that plan and carry out multi-step tasks. Typical capabilities include model switching, tool and browser access, memory or RAG, sandboxed execution, state that survives crashes, session logs and one-click deployment.
2,740 agents · Updated September 29, 2026
Grimly AI is a powerful AI agent designed for intuitive chatbot interactions.
B2 AI automates workflows, providing intelligent assistance for various tasks.
Effortlessly scrape web data with this powerful AI agent.
ChainML is an AI agent that streamlines workflows and enhances data-driven decision-making.
ChatLLM Teams offers advanced AI-driven chat solutions for enhanced team collaboration.
Botpress is an open-source platform for building conversational AI chatbots with customizable workflows.
Temporal is an orchestration platform that enables easy management of complex workflows.
Outcall AI is a personalized assistant for scheduling and managing meetings effortlessly.
Max is an AI agent designed to streamline productivity with intelligent task management.
Cody AI helps developers write, review, and understand code efficiently.
AIAR is an AI agent designed for automated customer support.
Agience is an AI Agent for automating business insights and analytics.
Aixbt is a tokenized AI Agent optimizing revenue across applications.
Langflow simplifies building AI applications using visual programming interfaces.
Tray.io automates workflows by connecting apps and services using no-code solutions.
Flowise is an AI agent that simplifies building, deploying, and managing AI workflows effortlessly.
Agent Zero is a customizable, next-gen AI assistant running on a virtual computer.
LAuRA is an open-source Python agent framework for automating multi-step workflows via LLM-powered planning, retrieval, tool integration, and execution.
A Python framework that enables developers to define, coordinate, and simulate multi-agent interactions powered by large language models.
Arakoo.ai empowers businesses with customizable AI Agents to automate customer support, lead generation, and routine workflows seamlessly.
SuperSwarm orchestrates multiple AI agents to collaboratively solve complex tasks via dynamic role assignment and real-time communication.
Open-source repository providing practical code recipes to build AI agents leveraging Google Gemini's reasoning and tool usage capabilities.
Python library with Flet-based interactive chat UI for building LLM agents, featuring tool execution and memory support.
scenario-go is a Go SDK for defining complex LLM-driven conversational workflows, managing prompts, context, and multi-step AI tasks.
An open-source visual IDE enabling AI engineers to build, test, and deploy agentic workflows 10x faster.
LangGraph Learn offers an interactive GUI to design and execute graph-based AI agent workflows, visualizing language model chains.
A minimal Python-based AI agent demo showcasing GPT conversational models with memory and tool integration.
TinyAuton is a lightweight autonomous AI agent framework enabling multi-step reasoning and automated task execution using OpenAI APIs.
AI Library is a developer platform for building and deploying customizable AI agents using modular chains and tools.
RModel is an open-source AI agent framework orchestrating LLMs, tool integration, and memory for advanced conversational and task-driven applications.
Upstreet AI builds custom AI agents that automate data workflows, connect APIs, and execute actions via natural language prompts.
SARL is an agent-oriented programming language and runtime providing event-driven behaviors and environment simulation for multi-agent systems.
Automatically condenses LLM contexts to prioritize essential information and reduce token usage through optimized prompt compression.
MARL-DPP implements multi-agent reinforcement learning with diversity via Determinantal Point Processes to encourage varied coordinated policies.
ADK-Golang empowers Go developers to build AI-driven agents with integrated tools, memory management, and prompt orchestration.
A Python-based framework enabling creation and simulation of AI-driven agents with customizable behaviors and environments.
Enables natural language queries on SQL databases using large language models to auto-generate and execute SQL commands.
A Python framework for constructing multi-step reasoning pipelines and agent-like workflows with large language models.
An AI-powered assistant for code repositories offering context-aware code queries, summarization, documentation generation, and automated testing support.
Odyssey is an open-source multi-agent AI system orchestrating multiple LLM agents with modular tools and memory for complex task automation.
An open-source framework enabling autonomous LLM agents with retrieval-augmented generation, vector database support, tool integration, and customizable workflows.
An open-source RAG-based AI tool enabling LLM-driven Q&A over cybersecurity datasets for contextual threat insights.
An open-source Python library for running parallel GPT-3/4 calls, improving throughput and reliability in batch prompt workflows.
MCP Agent orchestrates AI models, tools, and plugins to automate tasks and enable dynamic conversational workflows across applications.
AgentX is an open-source framework enabling developers to build customizable AI agents with memory, tool integration, and LLM reasoning.
AimeBox is a self-hosted AI agent platform enabling conversational bots, memory management, vector database integration, and custom tool use.
Illufly is an AI storyboarding agent converting scripts into illustrated slide decks using GPT-driven narratives and AI image generation.
An open-source Python framework to build Retrieval-Augmented Generation agents with customizable control over retrieval and response generation.
A solution for building customizable AI agents with LangChain on AWS Bedrock, leveraging foundation models and custom tools.
RAGApp simplifies building retrieval-augmented chatbots by integrating vector databases, LLMs, and toolchains in a low-code framework.