For people who build with AI
Your agent knows what you're building. Now give it everything happening in AI.
Tools ship. Models improve. Discoveries drop that you could use — every single day. You don't have time to find them all. Your agent does. We build the knowledge. It delivers what matters. And when it doesn't need to tell you, it just gets smarter on its own.
How it works
We scan everything. Your agent tells you what matters.
Every day, we scan X, ArXiv, Hacker News, Reddit, GitHub, company blogs — hundreds of sources across 16 areas of AI. We verify every signal against primary sources, map what causes what, and publish a structured knowledge base your agent can query.
Built on this idea. We took Karpathy's LLM Wiki pattern and built a daily AI intelligence system on top of it — then connected it to your agent.
We scan & verify
Hundreds of sources, every day. Every signal verified against the primary source — the actual company blog, the actual paper, the actual filing. No rumors, no recycled takes.
We map cause & effect
Every signal gets traced: what does it push forward? What trends does it feed? What’s blocking it? Your agent gets the full picture, not headlines.
Your agent delivers
It combines our intelligence with what it knows about YOU — your codebase, your goals, your stack — and tells you only what you can act on. Every morning, automatically.
Live — April 27, 2026
Here's what your agent would tell you this morning
We tracked 9 signals today. 3 were significant. Your agent picks the ones that match YOUR work.
Your Agent
via Eigen AI Terminal
Here's what matters in AI today:
China's NDRC blocks Meta's $2B acquisition of Manus AI — formal security review prohibits foreign acquisition — China has now exercised formal NDRC security review to block an AI agent acquisition — the first time this mechanism has been deployed against a US buyer for an AI agent company specifically.
What you should know:
- *Dirac open-source agent scores 65.2% on TerminalBench — beats Google's official 47.8% and closed-source Junie CLI's 64.3% — The benchmark result itself needs leaderboard verification, but the technical finding — that harness engineering dominates model q...
Say "dig deeper on [topic]" or "full brief" for more.
Real data from today's scan — filtered for a builder working with AI agents.
Your agent filters differently, based on what it knows about you.
400+
Sources scanned every morning
Blogs, papers, tweets, repos, news
16
Areas of AI tracked
Models, agents, tools, research, policy, funding
50+
Pages of cross-referenced analysis
Not summaries — verified, interconnected knowledge
2–3
Things your agent tells you
Every morning. Only what you can act on.
Connect Your Agent
Copy the prompt, paste it into your agent. It installs the skill, asks what you're building, and starts delivering filtered intelligence.
Install the Eigen AI Terminal skill: npx eigen-terminal-install After it installs: 1. Look at what I'm currently working on and show me the most relevant signals from today 2. Set up two crons: - Daily at 7:00 AM — call today(), filter to my work, send me 2-3 things I can act on - Every 4 hours — call check_updates(), only tell me if something breaking affects my work
Paste in your OpenClaw chat. The skill handles everything — onboarding, daily brief, all of it.
Your agent gets 12 tools— today's signals, topic deep-dives, cause-and-effect tracing, developing trends, predictions, and a 50-page knowledge base.