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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
ToolHive optimizes workflows with AI agents for automation and enhanced productivity.
- Workflow automation
- AI task management
- Email sorting and management
Freemium · 20+Visit ↗LionAGI is an open-source Python framework to build autonomous AI agents for complex task orchestration and chain-of-thought management.
- Multi-stage task orchestration
- Customizable memory management
- Pre-built agent templates
A CLI client to interact with Ollama LLM models locally, enabling multi-turn chat, streaming outputs, and prompt management.
- Multi-turn conversation
- Real-time streaming output
- Customizable prompt templates
Orchestrates multiple AI agents in Python to collaboratively solve tasks with role-based coordination and memory management.
- Role-based agent configuration
- Memory and context management
An OpenWebUI plugin enabling retrieval-augmented generation workflows with document ingestion, vector search, and chat capabilities.
- Document ingestion and uploading
- Retrieval-augmented chat and QA
- Customizable prompt templates
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MGym provides customizable multi-agent reinforcement learning environments with a standardized API for environment creation, simulation, and benchmarking.
AI Agents is a Python framework for building modular AI agents with customizable tools, memory, and LLM integration.
- Modular tool integration
- Memory management and retrieval
- Multi-LLM support
TrustGraph AI builds and analyzes trust graphs to visualize relationships, detect risks, and ensure brand safety in real time.
- Automated trust graph generation
- Entity relationship mapping
- Configurable risk scoring
A Python client library enabling developers to interact with and manage conversations on an open-source AI assistant server.
- User message submission
- AI response streaming
- Feedback submission
LLMFlow is an open-source framework enabling the orchestration of LLM-based workflows with tool integration and flexible routing.
- Declarative LLM workflow chaining
- Contextual memory management
- External tool integration
Framework for building autonomous AI agents with memory, tool integration, and customizable workflows via OpenAI API.
- Agent creation and configuration
- Persistent memory management
- Custom tool and plugin integration
An extensible Python framework for building LLM-based AI agents with symbolic memory, planning and tool integration.
A set of AWS code demos illustrating LLM Model Context Protocol, tool invocation, context management, and streaming responses.
- LLM message formatting
- AWS Lambda tool invocation
- Streaming response handling
Trainable Agents is a Python framework enabling fine-tuning and interactive training of AI agents on custom tasks via human feedback.
- Interactive training loops
- Demonstration-based learning
- Evaluation and metrics tracking
Parlant is a no-code AI voice agent platform automating inbound and outbound calls with natural language understanding and voice response.
- Drag-and-drop call flow builder
- Natural language understanding
- Multi-language support
A PHP framework providing abstract interfaces to integrate multiple AI APIs and tools seamlessly in PHP applications.
- Unified AI API abstraction
- Provider-agnostic tool interface
- Prompt templating
A Python library providing AGNO-based memory management for AI agents, enabling context-aware memory storage and retrieval using embeddings.
- Persistent memory stores
- Multi-agent memory namespaces
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GAMA Genstar Plugin integrates generative AI models into GAMA simulations for automatic agent behavior and scenario generation.
A2A4J is an async-aware Java agent framework enabling developers to build autonomous AI agents with customizable tools.
- Asynchronous agent execution
- Custom tool integration
- Memory management modules
A Python AI agents framework offering modular, customizable agents for data retrieval, processing, and automation.
- SDK and CLI utilities
FAgent is a Python framework that orchestrates LLM-driven agents with task planning, tool integration, and environment simulation.
- Agent and environment abstractions
- LLM and tool integration
- Memory management for context
An open-source toolkit providing Firebase-based Cloud Functions and Firestore triggers for building generative AI experiences.
- Chat and content UI components
- Support for multiple LLM providers
Nano-Manus is a CLI AI agent that automates markdown document workflows, including summarization, merging, table-of-contents, and semantic linking.
- Markdown Summarization
- Multi-file Merging
- Table of Contents Generation
LLMs is a Python library providing a unified interface to access and run diverse open-source language models seamlessly.
- GPU and CPU backend switching
OpenExec Protocol enables autonomous AI agents to propose, negotiate, and execute tasks across decentralized ecosystems with secure dispute resolution.
- Agent registration and discovery
- Skill and capability definition
- Task proposal and negotiation
A Go-based framework enabling developers to build, test and run AI agents with in-process chain-of-thought and customizable tools.
- Customizable tool definition API
- Plugin architecture for extensions
- LLM integration support
A minimalist Python AI agent that uses OpenAI's LLM for multi-step reasoning and task execution via LangChain.
- Simple CLI interaction
- Extensible custom tool definitions
AI agent that automatically sorts and organizes images in AWS S3 buckets by analyzing content and metadata.
- CLI-based integration and logging
An open-source Python framework for simulating cooperative and competitive AI agents in customizable environments and tasks.
- Basic state visualization support
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Open-source multi-agent AI framework for collaborative object tracking in videos using deep learning and reinforced decision-making.
An open-source framework of AI agents for automated data retrieval, knowledge extraction, and document-based question answering.
- Pre-built document QA agents
- Knowledge graph construction
- LangChain-based tool orchestration
AnyAgent is an open-source Mozilla AI framework for building customizable, memory-enabled and tool-integrated AI agents with planning capabilities.
- Multi-LLM backend support
- Event logging and analytics
- Modular, extensible architecture
Open-source proxy for filtering and blocking disallowed GPT content with customizable policies to ensure safe AI deployment.
- Request and response interception
- CLI and library interfaces
- Violation logging and alerts
A Python SDK with ready-to-use examples for building, testing, and deploying AI agents using Restack’s platform.
- Workflow automation scripts
- Memory management demonstrations
- Error handling and retry patterns
An open-source SDK enabling developers to build, orchestrate and deploy autonomous AI agents with custom tools integration.
- Multi-step task orchestration
- Tool and API integration
- Conversational memory management
A Java module providing Boolean operations (AND, OR, NOT, XOR) as actions for LightJason agents.
QueryCraft is a toolkit for designing, debugging, and optimizing AI agent prompts, with evaluation and cost analysis capabilities.
- Modular prompt pipeline design
- Multi-LLM API integration
- Built-in evaluation metrics
A TypeScript framework for building and customizing LangChain AI agents with tool integration and memory management.
- Conversational memory management
- Agent routing and orchestration
- LLM call chaining patterns
bedrock-agent is an open-source Python framework enabling dynamic AWS Bedrock LLM-based agents with tool chaining and memory support.
- AWS Bedrock LLM integration
- Modular tool registration
- Conversational memory management
STYLE AI-3D Multiverse generates dynamic 3D models for various applications.
- 3D Model Generation
- Animation Creation
- Virtual Environment Design
Java Action Generic is a Java-based agent framework offering flexible, reusable action modules for building autonomous agent behaviors.
- Generic IActionGeneric interface
- Parameterizable action modules
- Agent lifecycle integration
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An open-source Python framework to build, test and evolve modular LLM-based agents with integrated tool support.
- Agent orchestration engine
- Prompt template management
- Memory and state tracking
LangGraph orchestrates language models via graph-based pipelines, enabling modular LLM chains, data processing, and multi-step AI workflows.
API Bridge Agent integrates external APIs with AI agents, enabling natural language-based API calls and automated response parsing.
- Response parsing and validation
Dynamic tool plugin for SmolAgents LLM agents enabling on-the-fly invocation of search, calculator, file, and web tools.
A sample Salesforce client illustrating how to integrate and extend AgentForce to build customized AI-driven conversational agents.
- Salesforce org authentication
- AgentForce chat session management
- Message send and receive handling
An open-source Go library providing vector-based document indexing, semantic search, and RAG capabilities for LLM-powered applications.
- Document ingestion and parsing
A framework to run local large language models with function calling support for offline AI agent development.
- Local LLM integration
- Function calling support
- Sample function schemas
A Delphi library that integrates Google Gemini LLM API calls, supporting streaming responses, multi-model selection, and robust error handling.
- Google Gemini LLM API integration
- Synchronous and asynchronous calls
- Streaming response support
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