Scottie is a smart AI assistant for automated responses and personalized customer interactions.
- Natural language processing
- Automated response generation
Best AI Agents for AI Platforms & Frameworks Workflows (2,740)
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
Skaivision enhances workflows with AI-driven insights from your video content.
- Video analysis
- Automated insights
- Data management
An AI agent framework that supervises multi-step LLM workflows using LlamaIndex, automating query orchestration and result validation.
- Multi-step workflow orchestration
- Logging and metrics collection
An RL-based AI agent that learns optimal betting strategies to play heads-up limit Texas Hold'em poker efficiently.
- Deep Q-network for decision making
- Hand strength evaluation
- Pre-trained model support
LangGraph is a graph-based multi-agent AI framework that coordinates multiple agents for code generation, debugging, and chat.
- Graph-based agent orchestration
- Multi-agent coordination
- Code generation and synthesis
Halite II is a game AI platform where developers build autonomous bots to compete in a turn-based strategic simulation.
- Turn-based strategy game engine
- Map parser and state updates
- Leaderboards and ranking system
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AI voice concierge platform enabling businesses to build and manage conversational voice and chat agents with customizable workflows.
- Natural Language Understanding
- Visual Dialogue Flow Builder
- API & CRM Integrations
A web platform to discover, categorize, and deploy custom AI agents built with KaibanJS for automated workflows.
- Agent discovery and catalog
- Search and filter by tags
- One-click deployment
An extensible AI agent framework for designing, testing, and deploying multi-agent workflows with custom skills.
- Multi-agent orchestration
- Custom skill plugin system
Free Trial · $29+Visit ↗Spark Engine is an AI-powered semantic search platform delivering fast, relevant results using vector embeddings and natural language understanding.
- Semantic vector search
- Keyword search with typo tolerance
- Faceting and filtering
AIAgents4Pharma orchestrates AI agents to simulate virtual patient responses, accelerate drug discovery pipelines, and optimize clinical trials.
- Orchestrated AI agent workflows
- Preclinical drug screening
- Clinical trial design optimization
AI Web Scraper uses AI to intelligently scrape and extract structured information from web pages with dynamic content.
- JSON output for easy integration
- Retry logic and timeout controls
A Python framework that evolves modular AI agents via genetic programming for customizable simulation and performance optimization.
- Modular agent architecture
- Custom fitness function support
- Environment simulation interfaces
Huly Labs is an AI agent development and deployment platform enabling customized assistants with memory, API integrations, and visual workflow building.
- Multi-agent orchestration
- Persistent memory storage
- API and database integrations
Dead-simple self-learning is a Python library providing simple APIs for building, training, and evaluating reinforcement learning agents.
- Simple environment wrappers
- Policy and model definitions
- Experience replay and buffers
Crayon is a JavaScript framework for building autonomous AI agents with tool integration, memory management, and long-running task workflows.
- Tool integration and API calls
- Multi-backend memory management
- Planning-execution loops
An agent-based simulation framework for demand response coordination in Virtual Power Plants using JADE.
Modular Python framework to build AI Agents with LLMs, RAG, memory, tool integration, and vector database support.
- Customizable Agent classes
- Conversational memory management
- CLI and Python SDK
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GPT Agent dynamically executes task workflows like data retrieval, text summarization, and automated scheduling using GPT models.
- Seamless GPT model integration
- Custom knowledge base ingestion
- REST API and SDK access
Web interface for BabyAGI, enabling autonomous task generation, prioritization, and execution powered by large language models.
- Dynamic task prioritization
- Sequential task execution
- Real-time results display
gym-llm offers Gym-style environments for benchmarking and training LLM agents on conversational and decision-making tasks.
Sentient is an AI Agent framework enabling developers to build NPCs with long-term memory, goal-driven planning, and natural conversation.
- Persistent event memory
- Dynamic goal planning
- Context-aware conversation
Agent Workflow Memory provides AI agents with persistent workflow memory using vector stores for context recall.
An AI agent enabling interactive data analysis on Pandas DataFrames, asking clarifying questions and generating code.
- Natural language data querying
- Automatic Python code generation
- Clarifying follow-up questions
Melissa is an AI-powered personal assistant that manages tasks, automates workflows, and answers queries through natural language chat.
- Natural language task management
- Workflow automation
- Plugin-based integration
Hyperbolic Time Chamber enables developers to build modular AI agents with advanced memory management, prompt chaining, and custom tool integration.
- Context window orchestration
AI-powered customer service agent built with OpenAI Autogen and Streamlit for automated, interactive support and query resolution.
- Streamlit-based interactive web UI
- Easy local deployment and testing
MACL is a Python framework enabling multi-agent collaboration, orchestrating AI agents for complex task automation.
- Multi-agent orchestration
- Built-in LLM integrations
- Plugin-based extensibility
An open-source multi-agent reinforcement learning simulator enabling scalable parallel training, customizable environments, and agent communication protocols.
- Modular environment interface
- Agent communication protocols
An autonomous AI Agent that performs literature review, hypothesis generation, experiment design, and data analysis.
- Lab report drafting
- Data analysis script generation
- Prompt customization and chaining
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AI memory system enabling agents to capture, summarize, embed, and retrieve contextual conversation memories across sessions.
- Vector embedding generation
- Semantic memory retrieval
A C++ library to orchestrate LLM prompts and build AI agents with memory, tools, and modular workflows.
- Prompt template management
- Chain assembly and orchestration
- Agent frameworks with tool calling
A Python framework enabling the development and training of AI agents to play Pokémon battles using reinforcement learning.
An open-source reinforcement learning agent using PPO to train and play StarCraft II via DeepMind's PySC2 environment.
Triagent orchestrates three specialized AI sub-agents—Strategist, Researcher, and Executor—to plan, research, and execute tasks automatically.
- Concurrent task processing
Hands-on course teaching creation of autonomous AI agents with Hugging Face Transformers, APIs, and custom tool integrations.
A Python framework that builds AI Agents combining LLMs and tool integration for autonomous task execution.
- Modular LLM chain composition
- Custom tool integration
- Persistent memory modules
A local development studio for building, testing, and debugging AI agents using the OpenAI Autogen framework.
- Visual conversation flow editor
- Interactive debugging console
- Memory strategy management
Agents-Deep-Research is a framework for developing autonomous AI agents that plan, act, and learn using LLMs.
- Modular agent architecture
- Long-term memory module
- Task planning engine
SmartRAG is an open-source Python framework for building RAG pipelines that enable LLM-driven Q&A over custom document collections.
- Modular RAG pipeline orchestration
WanderMind is an open-source AI agent framework for autonomous brainstorming, tool integration, persistent memory, and customizable workflows.
- Persistent vector-based memory
- Tool and API integration
- Customizable planning modules
An open-source JavaScript framework enabling interactive multi-agent system simulation with 3D visualization using AgentSimJs and Three.js.
- Scene and camera controls
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TinyAgent enables you to build and deploy custom AI agents for automating tasks, research, and text generation.
- Persistent context memory
- API & webhook integrations
- Chat simulation and testing
DocChat-Docling is an AI-powered document chat agent that provides interactive Q&A over uploaded documents via semantic search.
- Document ingestion and processing
- Interactive Q&A chat interface
- Multi-format file support
An autonomous AI agent for goal-driven workflows, generating, prioritizing, and executing tasks with vector-based memory.
- Autonomous Task Generation
- Task Prioritization and Scheduling
- Task Execution Loop
TreeInstruct enables hierarchical prompt workflows with conditional branching for dynamic decision-making in language model applications.
- Reusable prompt and function nodes
A Python framework enabling AI agents to execute plans, manage memory, and integrate tools seamlessly.
- Declarative planning framework
- Dynamic tool integration
- Persistent memory modules
An HTTP proxy for AI agent API calls enabling streaming, caching, logging, and customizable request parameters.
- Request and response logging
- Dynamic override of API parameters
- Support for high concurrency
Efficient Prioritized Heuristics MAPF (ePH-MAPF) quickly computes collision-free multi-agent paths in complex environments using incremental search and heuristics.
- Efficient prioritized heuristics
- Multiple heuristic functions
- Incremental path planning
A template demonstrating how to orchestrate multiple AI agents on AWS Bedrock to collaboratively solve workflows.
- Customizable prompt templates
- Dynamic model selection
- CloudFormation & CDK deployment
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