AI · alternatives · 2026
24 alternatives to Mini-swe-agent achieves 65% on SWE-bench in 100 lines of python
The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores >74% on SWE-bench verified! - SWE-agent/mini-swe-agent
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
- 1
SWE-Kit▲568Build your own Devin like software engineering agent
2024 · swekit.dev · its alternatives →
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Scored 65.2% vs google's official 47.8%, and the existing top closed source model Junie CLI's 64.3%. Since there are a lot of reports of deliberate cheating on TerminalBench 2.0 lately (https://debugml.github.io/cheating-agents/), I would like to also clarify a few things 1. Absolutely no {agents/skills}.md files were inserted at any point. No cheating mechanisms whatsoever 2. The cli agent was run in leaderboard compliant way (no modification of resources or timeouts) 3. The full terminal bench run was done using the fully open source version of the agent, no…
Apr 2026 · github.com · its alternatives →
- 3
MiniMax M2.7▲378Self-evolving AI model powering autonomous agents
Mar 2026 · agent.minimax.io · its alternatives →
- 4
Contribute to corbt/agent.exe development by creating an account on GitHub.
2024 · github.com · its alternatives →
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Augment Agent▲156AI pair programmer that understands your codebase
2025 · augmentcode.com · its alternatives →
- 7
Agents Capable of Self-Editing Their Prompts / Python Code - aymenfurter/microagents
2023 · github.com · its alternatives →
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Bullet▲240Hi HN, excited to be sharing this with you guys today. TL;DR: Bullet is a fast coding agent. At our company, we were burning hours waiting on agent runs. The models weren’t the problem. The agent loops around them were slow (unnecessary planning, oversized context, repeated searches, and serial tool calls). So we built Bullet as a passion project, the goal being to help you iterate faster, without giving up quality: - It automatically selects the model and reasoning level for each prompt. - It runs independent searches, reads, and commands in parallel. - It uses targeted code search instead…
Aug 2026 · codewithbullet.com · its alternatives →
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Hi HN! We’re the team behind Fiddler, and we recently built an Agent Cache feature. It works by capturing an LLM request/response pair and, once caching is enabled, serving subsequent matching calls locally so duplicate requests never hit the provider. It’s meant to reduce three pains that show up together in agent development: token cost, feedback-loop latency, and output non-determinism. We’d love to hear your thoughts.
Aug 2026 · telerik.com · its alternatives →
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We recently started to use agents to update some documentation across our codebase on a weekly basis, and everything quickly turned into cron jobs, logs, and terminal output. it worked, but was hard to tell what agents were doing, why something failed, or whether a workflow was actually progressing. We thought it would be more interesting to treat agents as long-lived workers with state and responsibilities and explicit handoffs. Something you can actually see and reason about, instead of just tailing logs. So we built Clawe, a small coordination layer on top of OpenClaw that lets agent…
Feb 2026 · github.com · its alternatives →
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agentbrowse▲89Give your AI coding agent the web as a command line
Jun 2026 · npmjs.com · its alternatives →
- 12
I've been building computer-use tools for a while, and I quietly launched this about a month ago (122 Stars on GH). I figured it was worth sharing here. Over the last few months, a lot of computer-use agents have come out: Codex, Claude Code, CUA, and others. Most of them seem to work roughly like this: 1. Take a screenshot 2. Have the model predict pixel coordinates 3. Click x,y 4. Take another screenshot 5. Repeat That works, but it's slow, expensive in tokens, and fragile. If the UI shifts a few pixels, things break. And the model still doesn't know what any element actually is. But the…
May 2026 · github.com · its alternatives →
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I asked myself: what would a minimal implementation of an agent look like? Something that works out of the box, is a real agent with tool calling, but without 1000s of lines of code, without dozens or hundreds of npm or pypi dependencies. Something with just a few 'essential' features (not a whole kitchen sink that most agent harnesses come with nowadays). An implementation close to pseudocode that you can look at in one page, everything there at a glance, no scrolling. This is the agent.py I ended up with so far: import json,sys;from subprocess import getoutput as sh;from urllib.request…
Jul 2026 · gist.github.com · its alternatives →
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We built a computer use agent once and got it benchmarked at the 2nd position in the biggest benchmark for this field but in the process, we realized one thing, how outdated and inefficient these benchmarks are and how they don't truly capture how these tasks went. So we thought a community led benchmarking arena would be the way to go about. https://coarena.ai/. You just have to put in a task and two side by side windows with hidden models will show up and do the same task and at the end you vote which one did better(or none). We have a leaderboard where we rank all the…
Aug 2026 · coarena.ai · its alternatives →
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SOTA SWE▲121State of the art AI agent in your VSCode
2024 · marketplace.visualstudio.com · its alternatives →
- 16
Hello! We just released freeact (https://github.com/gradion-ai/freeact), a lightweight agent library that empowers language models to act as autonomous agents through executable code actions. By enabling agents to express their actions directly in code rather than through constrained formats like JSON, freeact provides a flexible and powerful approach to solving complex, open-ended problems that require dynamic solution paths. * Supports dynamic installation and utilization of Python packages at runtime * Agents learn from feedback and store successful code actions as…
2025 · github.com · its alternatives →
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Hey HN, Small OSS project that i created for myself and want to share with the community. It's a declarative, scriptable, terminal-based IDE focussed on agentic engineering. That's a lot of jargon, but essentially its a multi-agent IDE that you start in your terminal. Why is that relevant? Thanks to tmux and SSH, it means that you have a really simple and efficient way to create your own always-on coding setup. Boot into your IDE through ssh, give a prompt to claude and close off your machine. In tmux-ide claude will keep working. The tool is intentionally really lightweight, because I think…
Mar 2026 · tmux.thijsverreck.com · its alternatives →
- 18
Build your first AI Agent in under 60 seconds.
2025 · github.com · its alternatives →
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Hi HN, I’m the creator of pycoClaw. I wanted to run OpenClaw-class, platform-agnostic, autonomous agents on MicroPython hardware, but standard tools couldn't handle the scale of the task. pycoClaw is the result, which bridges the gap between high-level AI reasoning and bare-metal execution. The Stack: - PFC Agent (~26k LOC): A full-featured agent that uses an LLM to 'self-program' its own local MicroPython scripts. Once a task is solved, it runs locally without requiring the LLM. - ScriptoStudio IDE: A PWA https://scriptostudio.com designed for the iteration speed required by…
Mar 2026 · pycoclaw.com · its alternatives →
- 20RS
Hello from the SWE-bench/SWE-agent team at Princeton/Stanford. When we created the SWE-bench benchmark in 2023 from hundreds of real-life GitHub issues/pull requests, the highest score was just a couple of percent. The tasks were so challenging for LMs, that most people didn't even want to work on them. Half a year later, SWE-agent showed that the early 2024 LMs were actually good enough to resolve up to 20% of the GitHub issues in the benchmark. This kicked off a whole wave of coding agents. Back then, developing agents was all about working around tons of silly behavior from…
2025 · swebench.com · its alternatives →
- 21
Open-source 2D IDE for managing AI agents in native CLIs, terminal, gits, beads issues, and files across multiple projects and machines. Self-host on a single machine via localhost OR host on a cluster via Tailscale OR connect to app.49agents.com (coming soon) - alpbahadur/49-IDE
Aug 2026 · github.com · its alternatives →
- 22
If you're interested in exploring what LLM-based agent systems these days actually do to solve certain benchmarks such as SWEBench or WebArena, we created a small leaderboard with our team, that allows to view a lot of public and OSS agent results including all the runtime traces (the step-by-step reasoning behind the scenes). Looking at traces is actually quite interesting, as they reveal a lot about the inner working and shortcomings of current agent system, e.g. see https://explorer.invariantlabs.ai/u/invariant/webarena--SteP... for an example trace.
2024 · explorer.invariantlabs.ai · its alternatives →
- 23
At Metabase, we built an AI agent called Repro-Bot that reads our GitHub issues and attempts to reproduce reported bugs automatically. It started as a hackathon project and is now part of our daily workflow, so we wrote about it and open-sourced the code as an example for others. How have similar tools been working for you? What has worked well and what has not?
Apr 2026 · metabase.com · its alternatives →
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AI team software engineers that autonomously ship code 24/7
Dec 2025 · swe-studio.netlify.app · 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 →