AI · alternatives · 2026
24 alternatives to Task Manager for AI Agents (MCP, Opensource)
AgentRQ is a (optionally) human-in-the-loop, self learning closed loop task manager for agents. Agents can create and schedule tasks for themself and work on them on their own schedule. In high level it comes with one supervisor MCP that controls workspaces(worker agents) and unlimited number of isolated workspace MCPs (self learning agents). Each workspace/agent has a mission/persona for the agent. And self-learning-loop note. I am using it about 6 weeks in production, and completed more than 500 tasks. I just released the opensource version(as is in production) under Apache 2.0…
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.
- 1
Zapier Agents▲646Create your own superhuman teammates in minutes.
2025 · zapier.com · its alternatives →
- 2
Agenta▲362Open-source prompt management & evals for AI teams
Nov 2025 · agenta.ai · its alternatives →
- 3
AgentSky▲430Any harness, any LLM — cloud-hosted agents on demand.
Aug 2026 · agentsky.dev · its alternatives →
- 4
- 5
Power your AI agents with enterprise-ready tools via MCP
2025 · merge.dev · its alternatives →
- 6
Codex Subagents▲300Parallel custom agents for complex tasks
Mar 2026 · learn.chatgpt.com · its alternatives →
- 7
The Agent Hub▲181AI agents for every task, all in one hub
2023 · agenthub.mindpal.space · its alternatives →
- 8
Openbasefree▲216Manage your team of AI agents by voice, from anywhere
Jul 2026 · openbase.cloud · its alternatives →
- 9
Hey HN, I spent my xmas break building an agent framework called mcp-agent [1](https://github.com/lastmile-ai/mcp-agent) for Model Context Protocol [2]. It makes it easy to build AI apps with MCP servers, and implements every pattern from the popular Building Effective Agents blog [3] as well as OpenAI’s Swarm [4]. I’m sharing it early to get community feedback on where to take it from here, and to ask for contributions. For those who aren’t familiar with MCP, I think of it as a standardized interface to let AI communicate with software via tool calls, resources and…
2025 · github.com · its alternatives →
- 10
- 11
Hey HN! A few months ago we shared mcp-agent (https://github.com/lastmile-ai/mcp-agent) [1][2], a lightweight framework that implements every agent pattern from Anthropic’s Building Effective Agents blog [3] and handles MCP server/client management seamlessly. Our core bet is that connecting LLMs to tools, resources, and external systems will soon be MCP-native by default. Today we're launching a significant update: Agents as MCP servers. Currently "agentic" behavior exists only on the MCP client side – clients like Claude or Cursor use MCP servers to solve tasks.…
2025 · github.com · its alternatives →
- 12
- 13
13,000+ MCP servers, skills & plugins for AI coding agents
Jul 2026 · codexmarketplaces.com · its alternatives →
- 14
Cosmic AI Agents▲145Hey HN, We're Cosmic (YC W19), a headless CMS. Today we're launching Team Agents and the Cosmic Agent. Team Agents are AI-powered team members that live in Slack, WhatsApp, and Telegram. They have names, roles, persistent memory, and real capabilities. Not chatbots. Not one-off prompts. Persistent agents that work alongside your team. Here's what they can do: CONTENT AGENTS write blog posts, landing pages, and marketing copy. They generate images, add SEO metadata, and publish directly to the CMS. Message them in Slack, get a finished post back. CODE AGENTS read your codebase, create…
Dec 2025 · cosmicjs.com · its alternatives →
- 15
- 16
Superexpert.AI▲107Hi HN — I built Superexpert.AI, an open‑source platform that lets you spin up multi‑task AI agents in minutes without writing any code (and lets you extend everything later). What it does - Plug‑and‑play agents – Create agents from a web form. Each agent can contain multiple tasks, and each task can run a different AI model, use its own tools, and follow custom instructions. - First‑class extensibility – Register a TypeScript function with registerServerTool, registerClientTool, or registerContextTool to add new functionality. If you want to share it, publish it as an NPM package and…
2025 · superexpert.ai · its alternatives →
- 17
Plate▲107Plate is a task manager where AI agents work as part of your team. Assign an agent a task or @mention it in a comment, and it answers with real work — right where your team already is.
May 2026 · plate.to · its alternatives →
- 18
Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…
Feb 2026 · github.com · its alternatives →
- 19
Hi HN, we built SuperHQ, an open source app that runs AI coding agents in isolated microVM sandboxes instead of directly on your machine. Each agent gets its own VM with a full Debian environment. You mount your projects in, writes go to a tmpfs overlay so your host is never touched, and you get a diff view to accept or discard changes. API keys never enter the sandbox. We also just launched remote.superhq.ai which acts as a remote control for SuperHQ, allowing you to access your workspaces and agents from anywhere.
Apr 2026 · github.com · its alternatives →
- 20
I've been delegating work to Claude Code for the past few months, and it's been genuinely transformative—but managing multiple agents doing different things became chaos. No tool existed for this workflow, so I built one. The Problem When you're working with AI agents (Claude Code, Cursor, Windsurf), you end up in a weird situation: - You have tasks scattered across your head, Slack, email, and the CLI - Agents need clear work items, context, and role-specific instructions - You have no visibility into what agents are actually doing - Failed tasks just... disappear. No retry, no notification…
Feb 2026 · github.com · its alternatives →
- 21
Hello, HN. I've created fast-agent to make building my own products easier - and remove the friction between defining Prompts, MCP Servers and their composition. It uses a simple, declarative style that's easy to work with and source control - with inbuilt support for the patterns in the Building Effective Agents paper. Because you can "warm-up" and interact with Agents before, during or after the workflows, it's easy to diagnose and tune Agent prompts and behaviour for later runs. Being able to set these workflows up makes LLM Context Management and Tool Selection a lot easier and can…
2025 · github.com · its alternatives →
- 22
AI Agents Listing is a curated directory for the agentic ecosystem. It helps you discover AI agents, MCP servers, and drop-in agent skills, ranking them by real engagement rather than ads. You can browse popular categories, view leaderboards, and submit your own tools to get disc
Sep 2026 · aiagentslisting.com · its alternatives →
- 23
Mission control for AI coding agents. One ranked queue Claude Code, Cursor or any MCP agent works top to bottom — you watch live. Free while in beta — every feature, no limits, no card.
Jul 2026 · taskpeace.com · its alternatives →
- 24
Most of the MCP servers that I’ve seen are tools implemented in standalone projects. To onboard more tools (especially agents and multi-agent workflows) to MCP, I’ve been thinking it’s important to allow AI engineers to continue to prototype in their existing agent frameworks and deploy with minimal conversion when ready. We created the automcp library, which you can add as a dependency to existing projects (CrewAI, LangGraph, Llama Index, OpenAI Agents SDK, Pydantic AI, mcp-agent currently supported but more coming soon). You just need to run a CLI command to create a run_mcp.py file, make…
2025 · github.com · its alternatives →
Also compare
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →