kibana-agent is an open-source command-line tool providing read-only access to Kibana and Elasticsearch, optimized for integration with AI agents. Below are 17 cli tools & terminal apps with similar functionality to kibana-agent, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
aiagenthub-cli is an open-source command-line tool for running and managing AI agents. It supports agent registry, Docker integration, and automation, targeting developers building or orchestrating AI agent workflows.
agent-id-cli is an open-source command-line interface for managing identities of AI agents. It allows developers to create, update, and organize agent identities efficiently. Suitable for AI developers and teams working with multiple agents.
Agent Kitchen is an open-source dashboard for monitoring and analyzing AI coding agent sessions, supporting both Claude Code and Codex CLI. It helps developers and researchers gain insights into agent performance and workflows.
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.
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.
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.
agentbench-cli is an open-source command-line tool that allows AI developers and researchers to evaluate, test, and scan the behavior and safety of AI agents. It provides automated checks and reporting for agent performance and compliance.
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.
pyagentkit is an open-source toolkit for building and managing AI agents with Ollama. It provides CLI tools and integration features for developers and researchers working on agentic AI systems.
Agent testing SDK. Instrument, assert, classify.
A microkernel-style agent framework
abi-agent is an open-source Python library that provides a plugin-based abstraction layer for AI-driven bioinformatics analysis. It enables researchers and developers to automate complex bioinformatics workflows, including metagenomics and plasmid analysis, using AI agents. The tool is extensible and designed for integration into custom pipelines.
linuxagent is an open-source CLI tool for Linux operations, providing policy checks, audit trails, runbooks, and SSH guards. It is designed for system administrators and DevOps teams seeking secure and auditable operations.
agentu is an open-source AI agent runtime designed for developers to run autonomous agents with tool isolation, self-correction, and permission scoping. It provides a CLI interface and is suitable for building secure, extensible AI workflows.
localagentcli is an open-source command-line tool for running AI agent models directly on local machines. It is designed for developers and researchers who require local-first, production-grade AI agent capabilities without cloud dependencies.
google-agents-cli is an open-source command-line toolchain designed for developers working with the Agent Development Kit (ADK). It streamlines the agent development lifecycle, providing commands for building, testing, and deploying agents. Licensed under Apache-2.0, it is suitable for developers building agent-based applications.
aria-agent is an open-source command-line tool for creating autonomous reasoning and intelligent coding agents. It provides a project-aware coding partner that leverages local LLMs and supports advanced automation for developers.
