An AI Agent integrating ToolHouse and Groq LLM to generate, validate, and refine code automatically.
- Feedback-driven code refinement
- CI/CD pipeline integration
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
GPA-LM is an open-source agent framework that decomposes tasks, manages tools, and orchestrates multi-step language model workflows.
- Task planning and decomposition
- Tool invocation management
- Memory and state tracking
ToolFuzz automatically generates fuzz tests to evaluate and debug tool-using capabilities and reliability of AI agents.
- Automated fuzz case generation
- Malformed input injection
- Customizable fuzz strategies
Java-Action-Shape offers agents within the LightJason MAS a suite of Java actions to generate, transform, and analyze geometric shapes.
- Define and register custom shapes
Acme is a modular reinforcement learning framework offering reusable agent components and efficient distributed training pipelines.
- TensorFlow and JAX compatibility
- Checkpointing and metric tracking
Open-source framework for building AI agents using modular pipelines, tasks, advanced memory management, and scalable LLM integration.
- Modular pipeline definitions
- LLM provider integrations
- Retrieval-augmented generation
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LLM-Blender-Agent orchestrates multi-agent LLM workflows with tool integration, memory management, reasoning, and external API support.
- Multi-agent orchestration
- Extensible plugin architecture
ANAC-agents provides pre-built automated negotiation agents for bilateral multi-issue negotiations under the ANAC competition framework.
A GitHub repo providing DQN, PPO, and A2C agents for training multi-agent reinforcement learning in PettingZoo games.
- Configurable hyperparameters
- Integrated TensorBoard logging
A Python-based OpenAI Gym environment offering customizable multi-room gridworlds for reinforcement learning agents’ navigation and exploration research.
- Multi-room gridworld environments
- OpenAI Gym compatibility
A Python toolkit providing modular pipelines to create LLM-powered agents with memory, tool integration, prompt management, and custom workflows.
- Modular pipeline architecture
- Memory management modules
- Dynamic tool integration
A framework integrating LLM-driven dialogue into JaCaMo multi-agent systems to enable goal-oriented conversational agents.
- LLM integration for AgentSpeak(L)
- Dialogue artifact definitions
- Context memory management
Mava is an open-source multi-agent reinforcement learning framework by InstaDeep, offering modular training and distributed support.
Agents.art offers a curated catalog of AI-powered art generators with live testing, filtering, and community-driven ratings.
- Curated AI art agent library
- Live preview of generated outputs
- Side-by-side agent comparison
Lightweight Python framework for orchestrating multiple LLM-driven agents with memory, role profiles, and plugin integration.
- Multi-agent orchestration
- Role-based agent profiles
- Asynchronous execution engine
A Java-based tool to automatically verify consistency of AgentSpeak BDI agent programs, ensuring correct beliefs, goals, and plans.
A repository offering code recipes for LangGraph-based LLM agent workflows, including chains, tool integration, and data orchestration.
Agent Control Plane orchestrates building, deploying, scaling, and monitoring autonomous AI agents integrated with external tools.
- External API and tool integrations
- CLI interface and RESTful API
- Web-based monitoring dashboard
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A Python sample demonstrating LLM-based AI agents with integrated tools like search, code execution, and QA.
- Conversational memory management
- Dynamic prompt chaining
Micro-agent is a lightweight JavaScript library enabling developers to build customizable LLM-based agents with tools, memory, and chain-of-thought planning.
- Customizable agent abstraction
- Tool integration for API/actions
- Short-term conversational memory
A ChatChat plugin leveraging LangGraph to provide graph-structured conversational memory and contextual retrieval for AI agents.
- Graph-based memory storage
- Contextual retrieval API
- Configurable memory node schemas
TollBit is an AI agent designed to streamline various business processes.
- Workflow automation
- Data analysis
- Customer interaction management
A TypeScript and JSON Schema library enabling developers to define and validate AI agent tool interfaces type-safely
- TypeScript type generation
Java Action Interpolate module provides LightJason agents with advanced interpolation for smooth behavior transitions during execution.
Operit is an open-source AI agent framework offering dynamic tool integration, multi-step reasoning, and customizable plugin-based skill orchestration.
- Modular plugin architecture
- Dynamic tool integration
- Session memory management
CLI tool that auto-generates YAML/JSON configuration rules for custom AI agents on the Cursor platform to streamline setup.
- CLI for rapid rule creation
- Version-controlled output
A Python framework enabling developers to orchestrate AI agent workflows as directed graphs for complex multi-agent collaborations.
- Dynamic dependency scheduling
- Sequential and parallel execution
- Custom Python function integration
A Python CLI framework to scaffold customizable AI agent applications with built-in memory, tools, and UI integration.
- CLI-based project scaffolding
- Custom toolchain management
- Starter web UI generation
An extensible Node.js framework for building autonomous AI agents with MongoDB-backed memory and tool integration.
- Prompt templating and management
- Deployment examples and scripts
SwiftAgent is a Swift framework enabling developers to build customizable GPT-powered agents with actions, memory, and task automation.
- OpenAI GPT model integration
- Custom tools and actions
- Conversational memory management
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A PyTorch framework enabling agents to learn emergent communication protocols in multi-agent reinforcement learning tasks.
Gentoro is an AI agent that streamlines content creation and management tasks.
- Content Generation
- Workflow Automation
- Text Optimization
Custom/Pricing on ContactVisit ↗Pydantic is an AI agent that validates and manages data structures with Python models.
- Data validation
- Type checking
- Nested models
Freemium · $2+Visit ↗Open-source Python framework enabling developers to build AI agents with tool integration and multi-LLM support.
- Modular tool and API integration
- Multi-LLM orchestration
- Configurable memory management
Flock is a TypeScript framework that orchestrates LLMs, tools, and memory to build autonomous AI agents.
- LLM orchestration and chaining
- External tool integration
- Conversation memory management
A Python toolkit enabling AI agents to perform web search, browsing, code execution, memory management via OpenAI functions.
- OpenAI function calling support
- Web search integration
- Browser automation tool
A system prompt that guides users through structured steps to ideate, design, and configure AI agents with customizable workflows.
- Integration with OpenAI GPT models
An open-source Python framework to build AI-powered Discord chatbots with LLM support, plugin integration, and memory management.
An open-source Python framework to build LLM-driven agents with memory, tool integration, and multi-step task planning.
- Conversation memory management
- Custom tool and API integration
- Dynamic prompt templates
A Node.js library that runs multiple ChatGPT agents concurrently, using consensus strategies to produce reliable AI responses.
- Multi-agent orchestration
- Built-in retry and error handling
- Asynchronous execution and logging
An open-source framework for training and evaluating cooperative and competitive multi-agent reinforcement learning algorithms across diverse environments.
- Configurable YAML experiment files
- Evaluation and visualization tools
An open-source Python framework to build modular AI agents with memory management, tool integration, and multi-LLM support.
- CLI and RESTful API for deployment
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Agents-Prompts provides curated prompt templates to design, customize, and deploy AI-powered conversational agents across various scenarios.
- Curated prompt template library
- Memory management patterns
- Dynamic instruction updating
Cyrano is a lightweight Python AI agent framework for building modular, function-calling chatbots with tool integration.
- Zero-dependency agent and CLI
- Custom tool (function) integration
- Memory and session management
LlamaIndex is an open-source framework that enables retrieval-augmented generation by building and querying custom data indexes for LLMs.
- Caching and refresh strategies
- Custom query schemas and filters
Freemium · $50+Visit ↗Faktory is an AI agent for building and managing digital products effortlessly.
- Customizable product templates
- Collaborative project management
- Automated task management
An AI-powered Go coding assistant delivering context-aware code completions, boilerplate generation, test scaffolding, and refactoring suggestions.
- Context-aware code completion
- Automated unit test scaffolding
- Code explanation and documentation
Open-source framework for building customizable AI agents and applications using language models and external data sources.
- Memory modules for context
- Prompt templating system
Connects X-Plane flight simulator with OpenAI Gym to train reinforcement learning agents for realistic aircraft control via Python.
- OpenAI Gym API wrapper for X-Plane
A lightweight Python library enabling developers to define, register, and automatically invoke functions through LLM outputs.
- Automated function call parsing
- Sync and async callback support
- Extensible plugin architecture
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