Alternatives

Products that do what AgentLoop does

Starts a fresh Codex worker and critic every cycle

1
Workspace agents in ChatGPT▲105
Codex-powered agents for teams.
Apr 2026
2
Mngr▲153
Run 100s of Claude agents in parallel
Apr 2026
3
agmsg▲245
Stop copy-pasting between your AI coding agents
Jun 2026
4
Epismo Agent Package▲106
Run agent workflows the community already built
Apr 2026
5
Cronloop AI▲121
AI agents that run in a loop
18d ago · cronloop.ai
6
AgentMicro▲160
Live Codex task status in your macOS menu bar
Aug 2026 · agentmicro.cc
7
Continue (Mission Control)▲126
Quality control for your software factory
Mar 2026
8
AgentGrid▲77
Your AI agents team, terminals, notes: one infinite canvas
Jul 2026 · agentgrid.sh
9
BearDrive▲191
The open-source shared folder for your team's AI agents
25d ago · beardrive.ai
10
HiveTerm▲86
One workspace for Claude, Codex, Gemini and your stack
May 2026
11
Flare▲120
The graph-first IDE and interactive map for agentic coding
12d ago · github.com
12
OpenCode Superapp▲128
The power of Codex with local, self-hosted models and voice
Jul 2026 · opencodesuper.app
13
Openclaw OS▲106
Turn one-off chats into persistent, usable apps
May 2026
14
agent-manager▲102
The fastest workflow for developing with AI
26d ago · agent-manager.dev
15
Deep Work Plan▲114
Models matter. Context matters more. Give your agent a plan.
Jun 2026
16
Relay▲120
Stop repeating yourself to every AI
May 2026
17
In Parallel MCP▲127
Your context, available to every agent.
Jul 2026 · in-parallel.com
18
Patchrooms▲92
Turn AI-app feedback into agent-ready patch context.
Jun 2026
19
Granary by Speakeasy▲96
The context hub for your agents
Feb 2026
20
Offload▲93
Offload your test suite to speed up the agent loop
Mar 2026
21AN
Ano – no-noise team chat with your code agent as your assistant▲9
Hi HN! I'm building Ano because I was tired of Slack's bloat and sluggishness, and never got any value out of their agent implementation. Ano is built local-first for speed (using Rocicorp Zero), focused on communication, and lets you use your own code agent as an assistant (Claude in my case, but it works with Codex too). I use the code agent to summarize anything unread (linking back to what matters), respond with context, and share data to and from connected tools (GitHub, Posthog, Attio, etc). Using your code agent for this might sound counter-intuitive, but to me it's the most powerful…
Jun 2026 · ano.chat
22AS
AgentBox – SDK to Run Claude Code, Codex, or OpenCode in Any Sandbox▲8
Hi HN, AgentBox is an SDK for running coding agents (Claude Code, Codex, OpenCode) inside sandboxes (Docker, E2B, Modal, Daytona, Vercel). One API. Swap the agent or the sandbox and your code doesn't change. Think of it as what the AI SDK did for LLMs, but for agent + runtime. Most wrappers call agents in non interactive mode (claude --print, codex exec). AgentBox instead boots each agent's native server inside the sandbox (Codex app-server over JSON-RPC, OpenCode serve over HTTP/SSE, Claude Code's SDK WebSocket transport) and drives it from the host, behaving like an interactive…
Apr 2026 · github.com
23
TAKT▲14
Stop babysitting AI coding agents — reviews can't be skipped
28d ago · nrslib.github.io
24OS
OpenSkills – Stop bloating your LLM context with unused instructions▲9
Hello HN, I’ve been building AI agents lately and ran into a common "Context Bloat" problem. When an agent has 20+ skills, stuffing every system prompt, reference doc, and tool definition into a single request quickly hits token limits and degrades model performance (the "lost in the middle" problem). To solve this, I built OpenSkills, an open-source SDK that implements a Progressive Disclosure Architecture for agent skills. The Core Concept: Instead of loading everything upfront, OpenSkills splits a skill into three layers: Layer 1 (Metadata): Light-weight tags and triggers (always loaded…
Jan 2026

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