83 tools

AI Agent Tools

Explore products that execute tasks and frameworks that help you build multi-step workflows, with clear boundaries, use cases, and source signals.

See the best AI agent tools

How we define agent tools

  • Whether the product can execute multi-step work rather than only generate a one-off answer.
  • Support for tool calling, file operations, browsers, or external services.
  • Memory, state management, human approval, and failure-recovery capabilities.
  • Clear information about model support, permissions, deployment, and data handling.

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Published AI agent tools

The directory is sorted by quality signals and information completeness. Open a profile for sources and limitations.

Cossistant: capabilities, use cases, and sources
cossistant.com
84

Cossistant is the open-source AI and human support framework for React and Next.js apps, with programmable actions, custom UI, and code-first workflows.

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Dash: capabilities, use cases, and sources
plotly.com
81

Dash is the open-source Python framework for interactive data apps and dashboards. No HTML, CSS, or JavaScript required. Get started free.

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Manufact: capabilities, use cases, and sources
manufact.com
81

Connect GitHub, get branch previews and production MCP endpoints with managed TLS, env vars, and deploy history. Promote, roll back, and wire CI, then pair w...

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Modelence: capabilities, use cases, and sources
modelence.com
80

Build an AI contract review tool that identifies risks, key clauses, and obligations for legal professionals. Start building with Modelence, a full-stack AI app builder with authentication, database, and deployment built in.

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failproof ai: capabilities, use cases, and sources
befailproof.ai
79

the end-to-end failure layer for teams building ai agents. observe every run, find where agents fail, write a policy that stops it, and enforce it in realtime, across claude code, codex, cursor, gemini, copilot and more. free: npm i -g failproofai

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Puck - Create your own AI page builder: capabilities, use cases, and sources
puckeditor.com
79

Let your users generate, review, and refine production-ready interfaces inside your application with Puck.

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Traccia: capabilities, use cases, and sources
traccia.ai
79

OpenTelemetry-native tracing with runtime policy enforcement, prompt registry & evals, cost attribution, and EU AI Act evidence. One SDK for LangChain, CrewAI, OpenAI Agents SDK & more.

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PraisonAI: capabilities, use cases, and sources
praison.ai
78

Revolutionising AI Accessibility Praison AI simplifies the development of AI-powered multi-agent systems, making complex AI capabilities accessible to businesses of all sizes. Praison AI Customer Service Real-Time Customer InteractionEnable responsive customer support with voice-enabled AI, improving call resolution and customer satisfaction through real-time responses. AI Personalisation Engage Customers with Tailored ExperiencesPraison AI’s personalisation services deliver […]

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ConnectOnion Docs: capabilities, use cases, and sources
docs.connectonion.com
77

ConnectOnion is an open-source Python toolkit for AI agents. `co create` scaffolds a project that already runs — shell, file editing, search and a model wired in — and you edit it from there. Supports OpenAI, Anthropic, and Gemini.

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Spettro
spettro.app
77

Spettro is a terminal-first multi-agent coding assistant written in Go, with configurable agents, goal mode, agent skills, approval-aware execution, persistent sessions, and OpenAI-compatible model routing.

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Agent Kernel by Yaala Labs
kernel.yaala.ai
76

Agent Kernel is an open-source operating system for scalable, compliant enterprise AI agents. It integrates seamlessly with frameworks like OpenAI, LangGraph, CrewAI, Google ADK, Smolagents, and Pydantic AI, and can deploy to AWS, Azure, GCP, or Kubernetes. Built-in messaging, memory, knowledge bases, guardrails, sandboxed code execution, and observability.

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Open Multi-Agent: capabilities, use cases, and sources
open-multi-agent.com
76

TypeScript-native multi-agent framework: one goal in, a self-organizing team of AI agents runs it in parallel — in your environment, cloud or fully offline.

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RuoYi AI
doc.ruoyiai.chat
76

RuoYi AI is an open-source AI assistant platform that provides visual workflow orchestration, allowing users to quickly build AI applications by dragging and dropping nodes.

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OpenAgent — The Open Agent Platform
openagentai.org
75

OpenAgent is an open-source personal AI assistant platform that connects 30+ model providers, builds intelligent agents with MCP tool use, and deploys across 20+ messaging channels.

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Symbiont Documentation
docs.symbiont.dev
75

Symbiont is a Rust-native runtime for executing AI agents and tools under explicit policy, identity, and audit controls. It focuses on running agents in real environments with real risks: untrusted tools, sensitive data, approval boundaries, audit requirements, and repeatable enforcement.

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OpenLIT: capabilities, use cases, and sources
docs.openlit.io
74

OpenLIT is an open-source AI Engineering platform for LLM observability, evaluations, prompt management, and cost tracking - built on OpenTelemetry, fully self-hostable.

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ADK-Rust: capabilities, use cases, and sources
adk-rust.com
73

A typed Rust runtime for model calls, tools, memory, multi-agent workflows, realtime voice, and open agent protocols.

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AgentQL: capabilities, use cases, and sources
docs.agentql.com
73

Get started How to get things done with AgentQL Check out our extensive guides to learn how to use AgentQL to automate web interactions and extract data from w...

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Threadplane: capabilities, use cases, and sources
threadplane.ai
73

Build AI support agents with human escalation, full context handoff, and production-ready chat UI in Angular.

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Intercom: capabilities, use cases, and sources
intercom.com
72

Intercom is the only helpdesk with a natively integrated AI Agent, Fin, meaning every customer conversation improves the next one, enabling perfect experiences that were never possible before.

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LarAgent - Create AI Agents with Laravel
laragent.ai
72

LarAgent is an open-source tool that allows developers to create AI agents using the Laravel framework.

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Together AI: capabilities, use cases, and sources
together.ai
72

Build agents humans want to talk to. Combine the best STT, LLM, and TTS models on co-located infrastructure for ultra-low latency and production-scale reliability.

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aeon: capabilities, use cases, and sources
aeon.fun
71

Give it a direction - aeon leverages 78 skills to get it done. No approval loops. No babysitting. Configure once, forget forever.

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ClipForge: capabilities, use cases, and sources
xixihhhh.github.io
71

AI 视频会被限流吗?按规则标识的 AIGC 内容属有条件允许,刻意去标识才是高风险。本文讲清国标 GB 45438-2025 显式与隐式标识要求、抖音测评形态与数字人五类目规则,以及 ClipForge 合规默认开:自动写入隐式元数据标识、默认烧录「AI 生成」角标,限流自检与违禁词扫描逐项给改法。

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Network: capabilities, use cases, and sources
network-ai.org
71

Network-AI is a TypeScript/Node.js multi-agent orchestration layer with shared-state locking, permission gating, audit trails, FSM governance, and 32 framework adapters.

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OpenAI Agents SDK
openai.github.io
71

OpenAI Agents SDK is a framework for building modern AI agents, supporting context management, tool calling, multi-agent collaboration, and more. It provides a sandbox environment that enables agents to operate on real files, execute commands, edit files, and process large document sets.

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Pest: capabilities, use cases, and sources
pestphp.com
71

Pest is the elegant PHP testing framework built for developers and AI agents — with browser testing, AI evals, an agent browser that verifies your coding agent's work end-to-end, and the Tia Engine for near-instant test runs.

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Agent SDK for Go: capabilities, use cases, and sources
docs.agenticenv.ai
70

Register built-in or custom tools and control parallel vs sequential execution per turn

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Bag of words
bagofwords.com
70

Bag of words is an open-source AI analyst that connects any LLM to any data source with centralized context management, trust, observability, and control.

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Cursor: capabilities, use cases, and sources
cursor.com
70

Cursor plans, writes, and reviews code using AI agents that understand your entire codebase. Everywhere you work: Desktop, CLI, Web & Mobile.

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Devin
devin.ai
70

Devin is an AI software engineering agent that autonomously plans, codes, executes tasks, and collaborates with teams. It supports multiple integrations and system-level configurations for development workflows.

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Introduction: capabilities, use cases, and sources
docs.neuron-ai.dev
70

Learn what Neuron is and what you can do with it.

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Natively AI
natively.software
70

Natively AI is an AI meeting assistant that turns calls into a workflow with live transcription, real-time support, structured notes, decisions, and follow-ups.

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Pydantic AI: capabilities, use cases, and sources
pydantic.dev
70

Logfire — OpenTelemetry Experience

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Spring AI Alibaba
java2ai.com
70

Spring AI Alibaba is an Agentic AI framework for Java developers, built on the core concept of DAG Graph, enabling easy orchestration of single-agent, multi-agent, and complex workflows.

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Notion: capabilities, use cases, and sources
notion.com
69

It’s hard to move fast if you’ve got a clunky and disorganized workspace. Centralize all your knowledge in Notion instead.

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Strikethroo
strikethroo.canpicasoft.com
69

Strikethroo is an AI task management tool that uses Agent Skills to break down tasks into plans and execute them via two commands (st-create-plan and st-execute-blueprint), with optional automated code review.

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Docs by LangChain: capabilities, use cases, and sources
docs.langchain.com
68

Understand the differences between LangChain, LangGraph, and Deep Agents and when to use each one

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Kody makes your agent safer, cheaper, and more reliable: capabilities, use cases, and sources
kody.codes
68

For all the agents you use today, and the ones you'll use tomorrow.

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AssemblyAI: capabilities, use cases, and sources
assemblyai.com
67

Run open and frontier LLMs on your voice data—fast open models for the cleanup pass, frontier models for the reasoning pass, one API key for both.

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AXIS: capabilities, use cases, and sources
axis.run
67

AXIS is open source tooling and a scoring framework to measure how well services work for AI agents. Run real scenarios, get a 0–100 score, and fix what's slowing agents down.

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boringSQL | Supercharge your SQL & PostgreSQL powers
boringsql.com
67

boringSQL provides tools to test and optimize PostgreSQL queries, with RegreSQL being an open-source tool for SQL query regression testing.

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Octo: capabilities, use cases, and sources
octo-agent.dev
67

A private, self-hosted AI agent: one brain — a single fast Go binary — with eight legs, like an octopus, reaching your terminal, VS Code, Obsidian, SDK, web, desktop, IM, and mobile. Any model, zero telemetry; your data never leaves your machine.

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Agami · The trust layer between AI and your data
agami.ai
66

Agami provides governed context for every AI application, ensuring AI answers are based on data your team owns, with enforcement, scoring, and improvement.

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Leanpub: capabilities, use cases, and sources
leanpub.com
66

Read ebooks and take online courses while the author is still writing them — and get every update free. Or write, publish, and sell your own in-progress book or course on Leanpub.

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Winston Koh | AI Systems Architect
winstonkoh87.com
66

Winston Koh is a Singapore-based AI Systems Architect specializing in autonomous agents, reliable business workflows, and production-grade software. He offers freelance and full-time services including AI system architecture, local-first AI architectures (Athena), and production-grade websites for SMEs.

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AI Agents Framework: capabilities, use cases, and sources
ai-agents.rs
65

One YAML = Any Agent. A Rust framework for building AI agents from a single YAML specification.

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Anthropic Cybersecurity Skills
mahipal.engineer
65

Anthropic Cybersecurity Skills is an open-source project providing tools to detect and defend against vulnerabilities in AI agent protocols such as MCP, FIPA-ACL, and A2A. Developed by Mahipal, co-founder and CTO of Berlin-based cybersecurity company casky, it addresses security gaps in AI agent communication.

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FAQ

AI agent tool FAQ

What is the difference between an AI agent and a chat tool?

Agents typically plan and execute multiple steps, call tools, or operate external systems. Chat tools focus more on generating content through conversation, and exact capabilities vary by product.

Should I choose an agent product or an agent framework?

Start with a product when you need to complete work immediately. Compare frameworks or developer tools when you need to embed the workflow in your own application and control models or permissions.

How does Mengbi classify agent tools?

Classification uses public product pages, documentation, and positioning signals together with automated quality checks. Profiles retain source clues and verification information.