agent-fm is an open-source MCP server that provides text-to-speech functionality for AI agents. It allows developers to add voice output to their agents, making them capable of spoken communication. Below are 23 voice, tts & speech apps with similar functionality to agent-fm, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
AgentFM is a decentralized peer-to-peer compute grid designed for running and scaling AI agents. It enables developers and researchers to deploy agent workloads across a distributed network, reducing reliance on centralized infrastructure and improving scalability and resilience.
fc-ai-agent is an open-source Python package for building, configuring, and running AI agents. It provides a framework for developers to create autonomous agents capable of performing complex tasks. Suitable for AI researchers and developers building agent-based systems.
air-agent is an open-source Python framework for building lightweight AI agents with support for OpenAI tool calling, Model Context Protocol (MCP), and parallel subagents. It is designed for developers who want to orchestrate and extend AI agent capabilities efficiently.
agnt is an open-source MCP server designed for AI coding agents. It provides process management, reverse proxy with traffic logging, browser instrumentation, and a sketch mode for agent development. Ideal for developers building or managing AI agent frameworks.
A suite of AI-powered command-line tools for text correction, audio transcription, and voice assistance.
Local-first agent analytics with prompt diagnostics
agent-mini is an open-source CLI tool that acts as a lightweight personal AI agent, automating shell, file, and web tasks. It supports both local and cloud LLMs, making it ideal for developers and power users seeking AI-driven automation from the command line.
agent-framework is an open-source Python framework developed by Microsoft for building, managing, and deploying AI agents. It includes core and optional packages, supporting modular development for AI-powered applications.
MCP Server for Claude Desktop - Agent OS kernel primitives including code safety verification, CMVK multi-model review, and IATP trust
agent-finder is an open-source command-line tool designed to help network administrators discover agents and their identities within complex networks. It supports governance and agent-based protocols, making it useful for environments requiring agent discovery and management.
agentao is an open-source governed agent runtime designed for running AI agents locally with a focus on privacy and embeddability. It supports multimodal agents, integrates with MCP, and is suitable for developers building private, local-first AI solutions.
agentpk is an open-source CLI tool that allows developers to package AI agents into portable .agent files, making it easier to distribute and deploy agents across different environments. It is designed for AI developers and researchers who need a standardized way to share agent implementations.
agentirc-cli is an open-source CLI tool providing a server core for building IRC-based meshes for AI agents. It facilitates communication and coordination among distributed agents using IRC protocols.
agentfiles is an open-source CLI tool that helps AI developers sync and manage configurations, agents, skills, and plugins for OpenCode. It streamlines setup and maintenance of AI tool environments.
agent-ntfy is an open-source CLI tool that enables AI agents to send cross-platform notifications using ntfy.sh. It supports integration with Claude Code and Gemini CLI, making it easy for developers to notify users of events or results. Ideal for developers building or orchestrating AI agents.
AI-powered IRC agent with multi-provider LLM support
myxagent is an open-source multi-modal AI agent system that allows developers to interact with and manage agents via the command line. It supports asynchronous processing and various input modalities.
mia-agent is an open-source service built with FastAPI and LangGraph for creating personal AI agents. It provides an API for integrating AI-driven agent capabilities into applications, targeting developers building custom AI solutions.
<!-- ~ Copyright (c) 2025-2026 Datalayer, Inc. ~ ~ BSD 3-Clause License --> [](https://datalayer.io) [](https://github.com/sponsors/datalayer) # 🧰 Agent Skills [](https://pypi.org/project/agent-skills) **Reusable Agent Skills**: Create, manage, and execute reusable code-based tool compositions for AI agents. For more information, see the [Agent Skills community website](https://agentskills.io), the [specification](https://agentskills.io/specification), and the [integration guide](https://agentskills.io/integrate-skills). ## Overview Agent Skills provides a simple and powerful way for AI agents to build their own toolbox. Skills are Python files that compose MCP tools and other skills to accomplish specific tasks. Agent Codemode consumes skills from this package. If you are using agent-codemode, import skill utilities from `agent_skills`. ### How It Works 1. **Skills are code files**: Python files in a `skills/` directory with asyn
A Langgraph agent API server that implements Langgraph agent's web capabilities and can interact with chatbot
agent-bom is an open-source security scanner and self-hosted control plane for AI and MCP infrastructure. It helps engineers and security teams detect vulnerabilities, manage supply chain risks, and remediate issues in AI agent deployments.
agent-borg is an open-source CLI tool and MCP server designed to provide failure memory capabilities for AI coding agents. It helps developers track, store, and utilize failure cases to improve agent debugging and performance. Ideal for those building or maintaining autonomous AI agents.
agent-framework-a2a is an open-source Python package that enables agent-to-agent (A2A) integration for the Microsoft Agent Framework. It provides developers with tools to build and extend agent-based systems, supporting interoperability and extensibility in automation workflows.