AI · alternatives · 2026
24 alternatives to EasyAgents
I solved multi-agent AI orchestration with a for loop.
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 2 we have checked on their own sites, 2 of them free or with a free tier.
- 1
BrowserAgent▲544Browser-based AI agents - unlimited runs, fixed cost
2025 · browser-use.com · its alternatives →
- 2
Open Agents▲161OpenAgents - The collaboration OS for AI agents. Contribute to openagents-org/openagents development by creating an account on GitHub.
Apr 2026 · open-agents.dev · its alternatives →
- 3
Emergent▲582Advanced AI app builder that ships full-stack apps
2025 · app.emergent.sh · its alternatives →
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Codex Subagents▲300Parallel custom agents for complex tasks
Mar 2026 · learn.chatgpt.com · its alternatives →
- 5
QuickAgent▲155Easily build AI agents that connect to any service, no-code
2025 · quickagent.app · its alternatives →
- 6
Hey HN, We’ve been building browser agents for a while. In production, we kept converging on the same pattern: deterministic scripts for the happy path, agents only for edge cases. So we built Demonstrate Mode. The idea is simple: You perform your workflow once in a remote browser. Notte records the interactions and generates deterministic automation code. How it works: - Record clicks, inputs, navigations in a cloud browser - Compile them into deterministic code (no LLM at runtime) - Run and deploy on managed browser infrastructure Closest analog is Playwright codegen but: - Infrastructure…
2025 · notte.cc · its alternatives →
- 7
Rerun▲301The easiest way to build AI agents for all your tasks
Jul 2026 · rerun.build · its alternatives →
- 8
OpenComputerfree tier, from $20/mo▲181The easiest way to deploy a managed agent.
Jul 2026 · opencomputer.dev · its alternatives →
- 9
hi guys. been working on something i think is fundamentally missing in today's workflow with ai agents. vcs. i find myself struggling with questions that agents can't answer like "why did you do it?", "when did u delete this folder? why?", etc. or trying to /rewind (after a /compact...) or basically `bisect` to find when and why something was done by the agent in the current / previous session. just like git did for code, i think we are the same core capabilities with ai agents so... i developed an open source solution for that (currently supporting claude code) would love to…
May 2026 · github.com · its alternatives →
- 10
Agen▲138AI changed the way we code, but we're still using the old processes, and we've become the bottleneck, the AI is waiting for us - to reply, to open our laptops, to review the code, and so on. We're building the future of AI software development. The agents are autonomous, they run in sandboxes, automatically fix the pipelines, and deliver you the final, working code. You can use live preview to see the changes they made. Working across multiple repositories, all within the same session. This is the future - you don't need an IDE, and you don't have to run anything locally.
Mar 2026 · agenhq.com · its alternatives →
- 11
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 →
- 12
When we asked developers from large engineering teams, almost everyone is using Claude Code, Cursor, or Copilot. But adoption is still inconsistent. Some of us would have 15 agents running in Claude Code at the same time; some would still refuse to use any of them and write code manually. There's a fragmented AI development problem: - Five developers building similar features, and all of them start from scratch - No way to share "here's how we prompt AI to follow our architecture" - No trail of how the AI changes were generated - People leave the company, so does the their knowledge Aviator…
2025 · aviator.co · its alternatives →
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Run and supervise teams of coding agents from planning to merge. Any harness (Claude code, codex, +25 more). Desktop, web, mobile, and cloud agents. - Untrivial-ai/agent-orchestrator
Aug 2026 · aoagents.dev · its alternatives →
- 15
myAgentsAi▲14Build AI agents fast—no code, simple, customizable
2025 · myagents-ai.com · its alternatives →
- 16
The agent development environment to ship faster
Apr 2026 · bridgemind.ai · its alternatives →
- 17
RunAgent eliminates the complexity of AI agent deployment across different frameworks and languages. Today's developers face deployment nightmares with fragmented frameworks (LlamaIndex, LangChain, LangGraph, CrewAI, Letta, Agno, etc.) each requiring different deployment processes, creating unnecessary friction. The Solution: Like MCP (Model Context Protocol), RunAgent provides a standardized approach to agent deployment. Developers simply provide a config file and their agent code - RunAgent handles the rest with REST API and WebSocket (Streaming and non streaming). Our open-source platform…
2025 · github.com · its alternatives →
- 18
Build and sell your own AI agents. No code. Just vision.
2025 · app.brownagents.ai · its alternatives →
- 19
Build AI agents the easy way for everyday teamsAutohive gives every person the power to create and run AI agents in minutes, enabling you to get home by lunch.
2025 · autohive.com · its alternatives →
- 20
Run AI Agents on your cloud infrastructurefree tier▲12Hi, founder of Okteto here! We’ve been experimenting with AI agents in our workflows at Okteto. Running them locally worked at first, but quickly became painful. git worktrees, multiple terminals, and messy context switches slowed us down. So we built Agent Fleets: ephemeral, fully managed environments for AI agents, built on top of Okteto’s development platform. Each agent runs in its own containerized environment on your infrastructure, with the services, tools, and policies it needs. You can spin up agents with a single click or API call. No local setup. No git worktrees. The beta…
2025 · okteto.com · its alternatives →
- 21
Empowering the Next Wave of Hybrid & Edge AI Agents
2025 · liquidos.ai · its alternatives →
- 22
Deploy AI agents like APIs. Runtime infrastructure handled.
Mar 2026 · savine.in · its alternatives →
- 23
Build autonomous AI agents with Next.js & Vercel
2025 · aiagents.ausbizconsulting.com.au · its alternatives →
- 241D
We just open-sourced the internal system we built at Assembled for running coding agents as a team. Coding agents worked well for individual engineers, but the surrounding workflow was a bit of a mess. We generally found that many engineers had different MCP connections and context for their agents, personal automations running that other people couldn’t access, and very little introspection for what a human’s input into the coding agent looked like. So we built an internal system that converted coding agents into shared team infrastructure. The system runs Codex, Claude Code, OpenCode, and…
Jun 2026 · its alternatives →
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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 →