An open-source framework for developers to build, customize, and deploy autonomous AI agents with plugin support.
- Python and JavaScript SDKs
Best AI Agents for Tool Libraries Workflows (271)
Frameworks, SDKs and runtimes for developers who build autonomous AI agents. These packages handle the plumbing: connecting models to external tools and APIs, storing memory, adding retrieval over your own documents, orchestrating multi-step reasoning, and running code in sandboxes. You can also find viewers that trace an agent's decisions and chain executions when something goes wrong.
271 agents · Updated September 29, 2026
CopilotKit is a Python-based SDK to create AI agents with multi-tool integration, memory management, and conversational LangGraph.
- Custom agent creation
- Persistent memory management
- LangGraph structured reasoning
A lightweight C++ framework to build local AI agents using llama.cpp, featuring plugins and conversation memory.
- Conversation memory management
A Go SDK enabling developers to build autonomous AI agents with LLMs, tool integrations, memory, and planning pipelines.
- Configurable planning engine
- Custom tool interfaces
- Conversation manager
An open-source Python framework integrating multi-agent AI models with path planning algorithms for robotics simulation.
- Multi-agent behavior modeling
- A*, Dijkstra, RRT path planning
- Obstacle avoidance modules
An open-source Python framework enabling developers to create autonomous GPT-based AI agents with task planning and tool integration.
- Modular custom tool integration
- Persistent memory management
- Multi-agent collaboration
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LemLab is a Python framework enabling you to build customizable AI agents with memory, tool integrations, and evaluation pipelines.
- External tool and API integration
- Persistent memory management
- Customizable agent templates
LLPhant is a lightweight Python framework for building modular, customizable LLM-based agents with tool integration and memory management.
- Modular agent architecture
- External tool integration
- Multi-turn memory management
Lagent is an open-source AI agent framework for orchestrating LLM-powered planning, tool use, and multi-step task automation.
- Tool integration and API calling
- Memory management across sessions
- Multi-turn reasoning engine
Pits and Orbs offers a multi-agent grid-world environment where AI agents avoid pitfalls, collect orbs, and compete in turn-based scenarios.
- Customizable grid size and layout
- Simple Gym-compatible API
An open-source ReAct-based AI agent built with DeepSeek for dynamic question-answering and knowledge retrieval from custom data sources.
- ReAct chain-of-thought reasoning
- Modular document loaders
- Customizable prompt templates
AgentSimJS is a JavaScript framework to simulate multi-agent systems with customizable agents, environments, action rules, and interactions.
- Plugin system for extensions
Agent API by HackerGCLASS: a Python RESTful framework for deploying AI agents with custom tools, memory, and workflows.
- Custom tool integration
- Memory and state management
- Prompt template configuration
An open-source Python framework enabling design, training, and evaluation of cooperative and competitive multi-agent reinforcement learning systems.
- GPU acceleration with PyTorch
The Lobby AI facilitates engaging conversations and intelligent responses through conversational AI agents.
- Customizable AI agents
- Automated responses
- Contextual understanding
Free Trial · $41.59+Visit ↗Open-source framework with multi-agent system modules and distributed AI coordination algorithms for consensus, negotiation, and collaboration.
- Built-in simulation environments
An open-source Python framework orchestrating multiple AI agents for automated code generation, testing, review, and debugging workflows.
Wizard Language is a declarative TypeScript DSL to define multi-step AI agents with prompt orchestration and tool integration.
- External tool and API integration
- State and memory management
- Plugin architecture for extensions
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Java-Action-Datetime adds robust date and time handling actions to LightJason agents, offering parsing, formatting, arithmetic, and timezone conversions.
- Current timestamp retrieval
- Timezone conversion support
DAGent builds modular AI agents by orchestrating LLM calls and tools as directed acyclic graphs for complex task coordination.
- Support for popular LLM providers
A Python library enabling AI agents to seamlessly integrate and invoke external tools through a standardized adapter interface.
- Logging and execution tracing
A no-code platform to build customizable GPT-powered agents with memory, web browsing, file handling, and custom actions.
- No-code agent builder
- Persistent memory management
- Web browsing and scraping
A Python library enabling secure, real-time communication with VAgent AI agents via WebSocket and REST APIs.
- WebSocket and REST communication
- Token-based authentication
- JSON payload serialization
Smithery is an AI agent designed for enhancing creative workflows and ideation processes.
- Idea generation
- Creative workflow enhancement
- Collaborative brainstorming
A Python SDK to create and run customizable AI agents with tool integrations, memory storage, and streaming responses.
- Agent creation and execution
- Custom tool integration
- Memory management
An open-source FastAPI starter template leveraging Pydantic and OpenAI to scaffold AI-driven API endpoints with customizable agent configurations.
- FastAPI route and dependency setup
Agent-Squad coordinates multiple specialized AI agents to decompose tasks, orchestrate workflows, and integrate tools for complex problem solving.
- Multi-agent orchestration
- Role-based agent configuration
- Memory and context sharing
LangChain is an open-source framework enabling developers to build LLM-powered chains, agents, memories, and tool integrations.
- PromptTemplates
- Chains abstraction
- Agent orchestration
A reinforcement learning framework enabling autonomous robots to navigate and avoid collisions in multi-agent environments.
- Pre-trained models for quick start
- GPU-accelerated training support
- Customizable simulation scenarios
A Python-based framework enabling the orchestration and communication of autonomous AI agents for collaborative problem-solving and task automation.
- Agent lifecycle management
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IpyBox brings ChatGPT to Jupyter, enabling interactive AI chat, code execution, variable inspection, and result embedding.
- In-notebook code generation
- Automatic code execution
- Conversation history tracking
A Java-based multi-agent system demonstration using JADE framework to model agent interactions, negotiations, and task coordination.
- ACL-based inter-agent messaging
- Contract net negotiation protocol
Clear Agent is an open-source framework enabling developers to build customizable AI agents that process user input and execute actions.
- Agent class abstraction
- Tool and plugin registry
- Memory and context management
A suite of AI agent tools for OpenWebUI enabling LLMs to browse web, execute code, manage files, and run commands seamlessly.
- Live web browsing and search
- Python REPL and code execution
- Shell/terminal command execution
Agent Visualiser is an interactive web tool visualizing AI agent decision flows, chain executions, actions, and memory for debugging.
- Support for LangChain-based agents
- Memory retrieval and trace viewing
A LangChain extension enabling AI agents to query, analyze, and manipulate Tableau data sources using natural language prompts.
- DataFrame result retrieval
- Agent toolkit for LangChain
A modular Python framework to build autonomous AI agents with LLM-driven planning, memory management, and tool integration.
- LLM-driven decision planning
- Persistent conversation memory
- Pluggable custom tool integration
ToolAgents is an open-source framework that empowers LLM-based agents to autonomously invoke external tools and orchestrate complex workflows.
- Centralized tool registry
- Extensible plug-in architecture
- Python-based API for integration
A Docker-based framework to rapidly deploy and orchestrate autonomous GPT agents with built-in dependencies for reproducible development environments.
Amazon Q CLI offers a command-line interface to AWS's Amazon Q generative AI assistant, automating cloud queries and tasks.
- Interactive AI chat in terminal
- Natural language resource queries
- Code generation snippets
A Python OpenAI Gym environment simulating the Beer Game supply chain for training and evaluating RL agents.
- OpenAI Gym compliant environment
A CLI toolkit to scaffold, test, and deploy autonomous AI agents with built-in workflows and LLM integrations.
- Project scaffolding for AI agents
- Custom workflow definition
- Plugin architecture for extensions
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An open-source framework enabling training, deployment, and evaluation of multi-agent reinforcement learning models for cooperative and competitive tasks.
A GitHub repository showcasing code samples for building autonomous AI agents on Azure with memory, planning, and tool integration.
Enables GPT-3.5/4 to call and execute developer-defined functions for dynamic, structured API-driven conversational tool integrations.
- Structured JSON output handling
- Seamless API and tool integration
OpenAgent is an open-source framework for building autonomous AI agents integrating LLMs, memory and external tools.
- Autonomous task planning
- Pluggable tool execution system
- Memory management modules
A modular SDK enabling autonomous LLM-based agents to execute tasks, maintain memory, and integrate external tools.
- Modular agent template
- Memory management component
- Tool integration interfaces
An open-source Python framework for building modular AI agents with pluggable LLMs, memory, tool integration, and multi-step planning.
- Modular agent architecture
- Custom tool and API integration
LangChain Google Gemini Agent automates workflows using Gemini API for data retrieval, summarization, and conversational AI.
Lore is an AI agent that helps in creating knowledge articles and automating workflows.
- Knowledge article generation
- Workflow automation
- Data analysis
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