AI Agents Research Digest

MoClaw monitors arXiv daily for the latest AI agent papers, summarizes the top findings, and delivers a curated research digest on your schedule.

Could you check arXiv now for new papers on AI agents and send me a summary of the 5 most important ones, then set this up to run every day at 9am PST?
MoClaw 8:42

User wants top 5 AI agent papers from arXiv plus a daily digest at 9am PST. I need to: 1. Search arXiv cs.AI and cs.MA for papers from the last 7 days 2. Rank by citation signals, venue acceptance, and topic relevance 3. Read abstracts and generate why-it-matters summaries for the top 5 4. Write a digest script that runs this on a schedule 5. Save the digest as a markdown file and schedule daily execution

Write arxiv_digest.py
Script created (104 lines): arxiv_digest.py ├── fetch_papers() Query arXiv API for cs.AI, cs.MA, cs.CL categories ├── rank_by_impact() Score by venue acceptance, recency, and topic match ├── summarize_paper() LLM reads abstract and writes summary + why-it-matters ├── identify_trends() Cross-paper trend detection across the weekly batch └── export_digest() Save markdown digest and CSV paper list
Bash python3 arxiv_digest.py --categories cs.AI,cs.MA,cs.CL --days 7 --top 5 --output ai-agents-digest-2026-04-08.md
Digest complete (week of March 27 – April 8, 2026): Fetched: 312 papers across cs.AI, cs.MA, cs.CL Filtered to AI agents topic: 47 papers Top 5 selected by impact score: 1. STEP-HRL: Hierarchical RL for LLM Agents (ACL 2026) — score 9.4 Beats full-history baselines while cutting token usage significantly 2. Claw-Eval: Trustworthy Agent Evaluation (preprint Apr 7) — score 9.1 Finds trajectory-opaque eval misses 44% of safety violations 3. SkillX: Automated Skill Knowledge Bases (preprint Apr 6) — score 8.8 Train-once, transfer-everywhere paradigm for agent skill reuse 4. LLMA-Mem: Memory vs Team Scaling (preprint Mar 27) — score 8.5 Smaller teams with better memory outperform larger teams 5. Social Dynamics in LLM Collectives (ACL 2026) — score 8.3 LLM agent groups inherit human social biases like groupthink Key trends: evaluation maturity, memory > agent count, RL for training, social failure modes Saved: ai-agents-digest-2026-04-08.md (18 KB), weekly-papers-2026-w14.csv (7 KB)
Bash crontab: 0 17 * * * python3 /app/arxiv_digest.py --categories cs.AI,cs.MA,cs.CL --top 5 --send-digest
Scheduled: daily at 9:00 AM PST (17:00 UTC) First automated digest: tomorrow, April 9th at 9:00 AM PST
ai-agents-digest-2026-04-08.md
weekly-papers-2026-w14.csv
Used 4 tools

Your AI agents research digest is live. Here is what runs every morning at 9 AM PST:

Daily workflow:

  • Fetches new papers from arXiv cs.AI, cs.MA, and cs.CL
  • Ranks them by venue acceptance, recency, and relevance to AI agents
  • Writes a custom summary and why-it-matters analysis for the top 5
  • Identifies cross-paper trends for the week
  • Saves a markdown digest and CSV export to your workspace

This week's top trend: Memory design outperforms scaling teams. Two independent papers (LLMA-Mem and STEP-HRL) converge on the same insight — efficient representation beats brute-force compute.

Want me to also flag papers accepted to top venues like ACL, NeurIPS, or ICML with relevance scores so you can skim faster on busy days?

This is amazing, can you also flag any papers that get accepted to top venues like ACL, NeurIPS, or ICML? And maybe add a relevance score so I can skim faster on busy days?
MoClaw 8:42

User wants venue badges (ACL, NeurIPS, ICML, ICLR, AAAI) and relevance scores (1-10) added to the digest format. I'll update the script's output template and add a quick-scan header table so busy-day skimming is easy.

Write arxiv_digest.py
Script updated. Changes applied: + venue_badge() Detects ACL / NeurIPS / ICML / ICLR / AAAI from paper metadata + relevance_score() Rates each paper 1-10 against your tracked topics (AI agents, multi-agent, LLM capabilities) + quick_scan_header() Adds a one-line summary table at the top of each digest: | # | Title | Venue | Score | One-line | |---|-------|-------|-------|----------| | 1 | STEP-HRL | ACL 2026 ✅ | 9.4 | Hierarchical RL cuts token use, beats full-history baselines | | 2 | Claw-Eval | preprint | 9.1 | Outcome-only eval misses 44% of safety violations |
trend-analysis-april-2026.md
Used 2 tools

Done. Your digest format now includes:

  • Venue badges — Papers accepted at ACL, NeurIPS, ICML, ICLR, and AAAI are highlighted with a green badge
  • Relevance score (1–10) — Each paper is scored against your interest profile: AI agents, multi-agent systems, and LLM capabilities
  • Quick-scan header — On busy days, the one-line summary table at the top lets you decide what to read in full without scrolling

Your next digest drops tomorrow at 9 AM PST with the updated format. Happy reading!

Files
ai-agents-digest-2026-04-08.md
18 KB
weekly-papers-2026-w14.csv
7 KB
trend-analysis-april-2026.md
4 KB
Schedules
Daily AI Agents Digest Active
0 9 * * *
Connectors
Telegram
Connected
Slack Connect

How AI Agents Research Digest Works with MoClaw

1

Describe Your Research Interests

Tell MoClaw what topics you want to track, AI agents, multi-agent systems, reinforcement learning, or any arXiv category. Specify how many papers, what analysis you want, and your preferred schedule.

2

MoClaw Scans and Analyzes arXiv

On your schedule, MoClaw searches arXiv for the latest papers matching your interests, ranks them by relevance and impact, reads each paper, and generates concise summaries with why-it-matters analysis and key trend identification.

3

Get Your Curated Digest

Receive a beautifully formatted research digest with paper summaries, venue acceptance badges, relevance scores, trend analysis, and direct links, ready to read in your MoClaw chat or export as Markdown or CSV.

What You Can Do with AI Agents Research Digest

📰

Daily arXiv Paper Digest

Get the top papers from any arXiv category summarized and delivered to you every morning with relevance scores and key takeaways.

🔬

Conference Deadline Tracker

Track upcoming AI conference deadlines (NeurIPS, ICML, ACL, ICLR) and get alerts with submission requirements and formatting guides.

📊

Research Trend Reports

Get weekly or monthly trend analysis across your research areas, identifying emerging topics, rising authors, and shifting methodologies.

🏷️

Citation and Impact Monitor

Track citation counts and social media buzz for specific papers or authors, and get notified when key papers gain traction in the community.

AI Agents Research Digest FAQ

How does MoClaw find and summarize arXiv papers?

MoClaw uses its built-in web tools to search arXiv's API and listings for papers matching your specified topics and categories. It then reads each paper's abstract and available content, generates a concise summary, adds a 'why it matters' analysis based on your research context, and identifies cross-paper trends. The entire process runs automatically on your chosen schedule.

Can I customize which topics and categories are tracked?

Absolutely. You can specify any combination of arXiv categories (cs.AI, cs.MA, cs.CL, etc.), keywords, author names, or even specific research questions. You can also set how many papers you want per digest, what analysis format you prefer, and whether to include trend summaries. Just describe what you want in plain English and MoClaw adapts.

What format do I receive the digest in?

Your digest is delivered directly in your MoClaw chat with rich formatting, bold titles, venue badges, direct arXiv links, and structured summaries. You can also export digests as Markdown files for your notes app, CSV files for tracking in spreadsheets, or copy-paste the content into Notion, Obsidian, or any other tool you use.

How often can MoClaw check for new papers?

You can set any schedule that works for you, daily, twice daily, weekly, or even weekdays only. Most researchers prefer a daily morning digest to start their day, but you can also trigger a manual check anytime by asking MoClaw in chat. ArXiv typically posts new papers Sunday through Thursday evenings, so a weekday morning schedule catches everything.

Can I track sources beyond arXiv?

Yes! While arXiv is the most common source for AI research, MoClaw can also monitor Semantic Scholar, Google Scholar, OpenReview, conference proceedings pages, research lab blogs (like Google DeepMind, Meta FAIR, OpenAI), and even Twitter/X for paper discussions. Just tell MoClaw which sources you want included in your digest.

Is this better than using Google Scholar alerts or arXiv email notifications?

Google Scholar alerts and arXiv notifications send you raw paper titles with no context, analysis, or prioritization. MoClaw reads each paper, writes a custom summary explaining what the paper does and why it matters to your specific interests, ranks papers by relevance, identifies weekly trends, and flags venue acceptances. It turns a firehose of papers into an actionable, prioritized briefing.

How much does MoClaw cost for research digests?

MoClaw offers a free tier that includes scheduled tasks and web browsing, so you can set up a daily research digest at no cost. The free tier supports daily schedules and standard digest formats. Premium tiers offer higher frequency checks, longer paper analysis, multi-source monitoring, and priority processing for large-scale literature reviews.

Can I combine research digests with other MoClaw automations?

Definitely. Many researchers combine their arXiv digest with other MoClaw workflows, for example, tracking GitHub repos for new agent frameworks, monitoring Hacker News for AI discussions, setting up price alerts for GPU cloud instances, or even drafting weekly lab meeting summaries based on the papers flagged in your digest. Each automation runs independently on its own schedule.

Google Scholar Alerts vs Semantic Scholar vs MoClaw

See how MoClaw's AI-powered approach differs from traditional tools.

FeatureGoogle Scholar AlertsSemantic ScholarMoClaw
Paper Summaries Title and snippet only Auto-generated TLDR (1 sentence) Full custom summaries with why-it-matters analysis
Trend Analysis None Basic trending papers feed Weekly trend identification across your tracked topics
Customization Keyword match only Topic feeds and saved searches Natural language, describe exactly what you want in plain English
Scheduling Email alerts (no control over timing) Manual browsing Any cron schedule, daily, weekdays, weekly, custom
Venue and Impact Tracking No venue badges Citation counts available Venue acceptance badges, relevance scores, and citation context
Price Free Free Free tier available with daily digest support

Why AI-Powered Research Monitoring?

Staying current with AI research means scanning hundreds of papers a week. MoClaw does it for you.

Filters Signal from Noise

MoClaw reads paper abstracts and identifies the ones that actually matter to your work. No more scanning hundreds of irrelevant titles on arXiv.

Understands Your Interests

The agent learns which topics, authors, and methodologies you care about. Over time, your digest gets sharper and more relevant.

Actionable Summaries

Each paper comes with a plain-English summary of the key contribution, methodology, and why it matters. Skip the abstract, get the insight.

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