ARIS vs last30days
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
Markdown-based skill files that let an AI agent run ML research loops, with a second model reviewing the work.
Open source · MIT
An AI agent skill that searches many social and web sources on a topic and writes a summary.
The short answer
Choose ARIS if you need…
- ML researchers who already use Claude Code or Codex and want a structured research workflow
- People who want to pair two different models so one reviews the other's work
- Developers who prefer plain Markdown configuration over installing a framework
- Teams experimenting with agent-driven paper review and experiment loops
Choose last30days if you need…
- People who want a recent, community-driven picture of a topic from the past 30 days
- Developers who use Claude Code or another Agent Skills host and want research inside their agent
- Someone preparing for a meeting who wants recent public posts about a person or company
- Users who are comfortable adding API keys or browser sessions for extra sources
Side-by-side
| ARIS | last30days | |
|---|---|---|
| Type | AI model / agent | AI model / agent |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 18.5k | 66.3k |
| Setup difficulty | Intermediate | Beginner |
| How you get it | See the README | Install with a package manager |
| Main language | Python | Python |
| Last code update | 5 days ago | 4 days ago |
What each one is
ARIS
ARIS is a set of plain Markdown skill files for AI coding agents such as Claude Code or Codex. The skills guide an agent through autonomous machine learning research tasks like idea discovery, experiment automation, and review loops, where an independent model checks the executor's output. The README describes it as a methodology rather than a platform, so it does not add a separate framework.
last30days
last30days is a skill for AI coding agents such as Claude Code. You give it a topic, and it searches sources like Reddit, X, YouTube, Hacker News, and Polymarket in parallel, then has an AI agent combine the results into one brief. It ranks results by how much real people engaged with them, such as upvotes, likes, or betting odds, rather than by search-engine ranking.
Best for
ARIS
- ML researchers who already use Claude Code or Codex and want a structured research workflow
- People who want to pair two different models so one reviews the other's work
- Developers who prefer plain Markdown configuration over installing a framework
- Teams experimenting with agent-driven paper review and experiment loops
last30days
- People who want a recent, community-driven picture of a topic from the past 30 days
- Developers who use Claude Code or another Agent Skills host and want research inside their agent
- Someone preparing for a meeting who wants recent public posts about a person or company
- Users who are comfortable adding API keys or browser sessions for extra sources
Strengths
ARIS
- Markdown-only skills with no framework to learn, per the description
- Works across several agents, including Claude Code, Codex, Cursor, and OpenClaw, according to the README
- MIT licensed and actively maintained, with a recent push and frequent releases
last30days
- Covers many sources in one query, and the README says Reddit, HN, Polymarket, and GitHub work with no setup
- Ranks results by real engagement signals, which the README presents as its main idea
- MIT licensed and installable with a single command across several agent hosts
Not ideal for
ARIS
- People without access to Claude Code, Codex, or another compatible agent, since the skills run inside those tools
- Users who need a fully hands-off system with guaranteed research results, because the README describes an agent-driven workflow that still requires oversight
- Readers looking for a general-purpose app with a graphical interface; the README centers on skills and an optional CLI
last30days
- Anyone needing guaranteed, verified facts, since the summary is built from social posts and the README does not describe fact-checking
- People who won't set up credentials, because many sources are only available after configuration
- Users who need a standalone app with a graphical interface; this is a skill for an agent host
Trade-offs
ARIS
- The README notes a recent codex-cli change that broke the reviewer bridge, so setup may need a re-registration step
- Much of the documentation is in Chinese and English mixed, and the README is long and truncated here, so details are hard to verify quickly
- Results depend on the underlying models and API access, which the README does not fully specify
last30days
- Many sources need your own API keys, tokens, or browser sessions, and availability depends on configuration
- The README is truncated and the synthesis quality and accuracy cannot be verified from it alone
- Engagement-based ranking favors popular posts, which may not reflect expertise or accuracy
Getting started
ARIS
Clone the repository
git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleeplast30days
Install in Claude Code (from README)
/plugin marketplace add mvanhorn/last30days-skillInstall the plugin (from README)
/plugin install last30daysFrequently asked questions
What is the difference between ARIS and last30days?
ARIS: Markdown-based skill files that let an AI agent run ML research loops, with a second model reviewing the work. last30days: An AI agent skill that searches many social and web sources on a topic and writes a summary. ARIS suits ml researchers who already use claude code or codex and want a structured research workflow, while last30days suits people who want a recent, community-driven picture of a topic from the past 30 days.
Are ARIS and last30days free?
ARIS: Free and open source. last30days: Free and open source.
Which is easier to set up, ARIS or last30days?
last30days is easier to get started with (rated beginner); ARIS is rated intermediate and usually needs more setup.
Is ARIS or last30days more popular?
last30days has more GitHub stars (66.3k) than ARIS (18.5k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to ARIS and last30days?
Other options people compare them with include Hermes Agent, Humanizer, GenericAgent, MCP for Blender, Ponytail.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.