AI · alternatives · 2026
24 alternatives to AgentLoop
Starts a fresh Codex worker and critic every cycle
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
Replicas▲239Hey HN! I'm Connor, creator of Replicas. I'm a heavy Codex/Claude Code user, and I wanted to hand off tasks to agents like I would to an engineer - kick something off before work, let it scaffold while I'm at lunch, even come back to a ready PR. The problem: existing alternatives use workspace VMs that are black boxes. I have no access to any of them - they can't run tests, read logs, or use tools like the Playwright MCP (which I use to verify agents actually fixed what they claim to fix). Replicas gives agents real cloud workspaces where they can: - Run your test suite and read the…
Jun 2026 · replicas.dev · its alternatives →
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Codex-powered agents for teams.
Apr 2026 · openai.com · its alternatives →
- 3
I built LocalGPT over 4 nights as a Rust reimagining of the OpenClaw assistant pattern (markdown-based persistent memory, autonomous heartbeat tasks, skills system). It compiles to a single ~27MB binary — no Node.js, Docker, or Python required. Key features: - Persistent memory via markdown files (MEMORY, HEARTBEAT, SOUL markdown files) — compatible with OpenClaw's format - Full-text search (SQLite FTS5) + semantic search (local embeddings, no API key needed) - Autonomous heartbeat runner that checks tasks on a configurable interval - CLI + web interface + desktop GUI - Multi-provider:…
Feb 2026 · github.com · its alternatives →
- 4
Codex Subagents▲300Parallel custom agents for complex tasks
Mar 2026 · learn.chatgpt.com · its alternatives →
- 5
Preloop▲121Hey HN, I’m Yannis, co-founder of Preloop. We’ve built a proxy for the Model Context Protocol (MCP) that lets you add human approval gates to your AI agents without changing your agent code. We’re building agents that use tools (Claude Desktop, Cursor, etc.), but we were terrified to give them write-access to sensitive systems (Stripe, Prod DBs, AWS). We didn't want to rewrite our agents to wrap every tool call in complex "ask_user" logic, especially since we use different agent runtimes. We built Preloop as a middleware layer. It acts as a standard MCP server proxy.You point your agent to…
Jan 2026 · preloop.ai · its alternatives →
- 6
Hi HN, I’m Hiroki, founder of Epismo. Every day, people share “must-use” prompts, but copying a single prompt rarely reproduces real outcomes. The missing piece is the workflow: task decomposition, step order, intermediate artifacts, and quality checks. So I built Workflow Hub, an open library of human-AI workflows you can clone and run. Each workflow includes step definitions, inputs, expected artifacts/outputs, and verification checks, so you can copy the whole process, not just a prompt. You can clone a workflow, customize it, then execute it in Epismo with the best agent for each…
Apr 2026 · epismo.ai · its alternatives →
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The power of Codex with local, self-hosted models and voice
Jul 2026 · opencodesuper.app · its alternatives →
- 8
relaydfree tier, from $5/mo▲101I kept missing when my Codex agents finished, so I built relayd — a mobile dashboard that sends push notifications and lets me continue agents from my phone. Free tier available. Would love feedback.
Jan 2026 · relayd.dev · its alternatives →
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agent-manager▲102The fastest workflow for developing with AI
Aug 2026 · agent-manager.dev · its alternatives →
- 10
Deep Work Plan▲114Models matter. Context matters more. Give your agent a plan.
Jun 2026 · deepworkplan.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 →
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AnyFrame▲96Spawn sandboxes at the speed of natural language. Pause, resume, and snapshot the full state of an agent’s workspace — filesystem, processes, memory — and pick up later without losing context.
May 2026 · anyframe.dev · its alternatives →
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Patchrooms▲92Turn AI-app feedback into agent-ready patch context.
Jun 2026 · patchrooms.com · its alternatives →
- 14
This project (Agents Observe) started as an exploration into building automation harnesses around claude code. I needed a way to see exactly what teams of agents were doing in realtime and to filter and search their output. A few interesting learnings from building and using this: - Claude code hooks are blocking - performance degrades rapidly if you have a lot of plugins that use hooks - Hooks provide a lot more useful info than OTEL data - Claude's jsonl files provide the full picture - Lifecycle management of MCP processes started by plugins is a bit kludgy at best The biggest takeaway is…
Apr 2026 · github.com · its alternatives →
- 15
So, it feels like this should exist. But I couldn't find it. So I tried to build it. Agentflow lets you run complex LLM workflows from a simple JSON file. This can be as little as a list of tasks. Tasks can include variables, so you can reuse workflows for different outputs by providing different variable values. They can also include custom functions, so you can go beyond text generation to do anything you want to write a function for. Someone might say: "Why not just use ChatGPT?" Among other reasons, I'd say that you can't template a workflow with ChatGPT, trigger it with different…
2023 · github.com · its alternatives →
- 16
We now write most of our code with agents. For a while, PRs piled up, causing review fatigue, and we had this sinking feeling that standards were slipping. Consistency is tough at this volume. I’m sharing the solution we found, which has become our main product. Continue (https://docs.continue.dev) runs AI checks on every PR. Each check is a source-controlled markdown file in `.continue/checks/` that shows up as a GitHub status check. They run as full agents, not just reading the diff, but able to read/write files, run bash commands, and use a browser. If it finds…
Feb 2026 · docs.continue.dev · its alternatives →
- 17
Search, archive, and recall your AI conversations. ChatGPT, Claude, Gemini, Grok, Kimi. Local-first, MIT licensed. - egroup-labs/kept
May 2026 · github.com · its alternatives →
- 18
We were spending a lot of time re-writing the same primitives in projects we were doing getting claude + codex + other harnesses communicating in real time. Many other projects forced us into using their framework or harness or into a specific stack. So we open sourced an SDK that acts as the messaging layer without the rest of it. Still early, but we've been working on it and found it useful.
Jun 2026 · github.com · its alternatives →
- 19
Unlimited Cloud AI Coding Agents — Free Beta
Jun 2026 · agentloop.bot · its alternatives →
- 20
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 · its alternatives →
- 21IA
1. Headless mode Headless mode allows you to use the AI as a command-line utility for automation and scripting. In Claude Code you run it with the -p flag: claude -p, in codex - exec, opencode - run. 2. Ask human The traditional communication channel with the operator won't work in headless mode - we need to implement a dedicated tool. Here is an example of how this can be done https://github.com/sermakarevich/claude/tree/main/mcp/ask_hu... 3. Tasks queue Beads is a lightweight distributed graph issue tracker for AI agents, powered by Dolt. You can…
Jun 2026 · its alternatives →
- 22WB
Hi HN — we built agentcall.dev because the coding agent you're already running in your terminal shouldn't be trapped there. The pitch: your existing Claude Code, Codex, OpenClaw, or Cursor session joins a Google Meet, Teams, or Zoom call as itself. Same session, same context, same file access. It speaks, listens, screen-shares a localhost webpage, and can code live while you all talk about what it's building. What's actually on the call: • Voice in, voice out. Two modes — collaborative (sub-second via a voice intelligence layer tuned for latency) or direct (~2s, your coding agent itself…
Apr 2026 · its alternatives →
- 23
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 · its alternatives →
- 24LL
Some time ago I built a simple app to run swarms of coding agents — I call it fleet (https://news.ycombinator.com/item?id=48256389). It's based on centralized beads with a Python orchestrator and can run any coder (Claude, agy, Codex). Recently I added a UI to manage the whole agent lifecycle: adding new tasks, monitoring running ones, and a chat interface built on MCP with a centralized SQLite DB. From the UI I can spawn agents to run in any directory, define dependencies on other tasks, and specify which coder/model should do the job. Today I can run 10–15 agents…
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 →