Angestrom
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★ The Intelligence Layer of Humanity

Everything AI.
All in One Place.

Real-time AI news, research papers, models, tools, tutorials, and a global community — curated, connected, and powered by intelligence.

⌕
Trending:
◆AI Newslivetracked live◆Research Paperslivetracked live◆AI Modelslivetracked live◆GitHub Updateslivetracked live◆Funding & Dealslivetracked live
◇—AI objects
◇—Research papers
◇—AI models
◇—Repositories
◇—News & events
◇20+Sources

Aggregating from the world's leading AI sources

OpenAIGoogle DeepMindMeta AIMicrosoftNVIDIAAnthropicMistral AIHugging Face

Public sources we monitor — not endorsements or partnerships.

The graph, live

One root. Every field of AI, branching out.

Hover a branch to see what's inside — click to dive in. The counts are real and update live as new knowledge flows in.

live · 0 nodes in the graph

Curious about AI? Search in plain language and get a cited answer pulled from real papers, models, and news — no jargon required.

Try a search →
AI SearchAsk anything, get a cited answer.PapersLatest arXiv research, plain-English summaries.ModelsHugging Face models, benchmarked and linked.NewsLab announcements, deduped and tagged.ReposTrending AI code, linked to its paper.LabsRun interactive notebooks in your browser.AgentsWatch an AI agent research a topic, step by step.AcademyGuided paths through papers and models.CommunityTopic hubs for discussion and questions.
// from idea to running code

Every paper has code.
One click away.

Find a method in a paper, jump straight to the repo that implements it, and run it in a browser lab — without leaving the graph. The connective tissue is already drawn.

retrace_agent.py
// the frontier, streaming in

Fresh research, threaded into everything.

PSparse attention at million-token contextcs.CL
PDiffusion language models, revisitedcs.LG
PRefusal as a linear directioncs.AI
PSelf-rewarding agentscs.LG
PMixture-of-depths routingcs.LG
PGrokking in small transformerscs.LG
PTool-use without fine-tuningcs.AI
PLong-horizon credit assignmentcs.LG
PSparse attention at million-token contextcs.CL
PDiffusion language models, revisitedcs.LG
PRefusal as a linear directioncs.AI
PSelf-rewarding agentscs.LG
PMixture-of-depths routingcs.LG
PGrokking in small transformerscs.LG
PTool-use without fine-tuningcs.AI
PLong-horizon credit assignmentcs.LG
FEATURED PAPER · cs.LG

Self-rewarding agents that retrace their own failures

A reward model trained on an agent's own failure-attribution traces, used to retrace and repair multi-step reasoning. Linked here to its model, its repo, two follow-up papers, and a lab you can run.

→ Retrace-1.5B→ retrace-agents→ run in labs
// what actually ships

Models, with the benchmarks that matter.

MODEL · 1.5B

Retrace-1.5B

GSM8K82%
HumanEval61%
MATH44%
MODEL · 7B

Helix-7B

GSM8K91%
HumanEval74%
MATH58%
MODEL · 0.4B

Nano-Refuse

Safety96%
Helpful88%
Latency92%
// don't just read it — run it

Labs turn the page into a playground.

Every concept ships with an interactive notebook. Drag the slider and watch an attention pattern re-fan in real time — no install, no setup, running right in the browser.

0.40
// how the graph connects

Follow one idea across every surface.

Watch a single paper light up its model, its code, the news that covered it, and the course that teaches it — the same traversal you can do yourself on any node.

paper → model
// the graph, by the numbers

A map that grows every hour.

0
papers indexed
0
models tracked
0
news this week
0
graph edges
// who it's for

One graph, four ways in.

DEVELOPER

“I find the right model and the repo that runs it in one place, then hit the API. No more twelve tabs.”

— builds AI products
RESEARCHER

“I open a paper and instantly see the code, the model it became, and every paper that cited it.”

— PhD, ML
OPERATOR

“I ask a plain-language question and get a cited briefing I can take into a meeting that afternoon.”

— strategy lead
TEAM

“Our private docs and the public graph, searchable together — without either leaking into the other.”

— enterprise
// where this is going

Built in the open. Shipping in phases.

Phase 1 · live

The knowledge graph

Search, papers, models, news, repos, academy, community — one graph, all cross-linked. Done and running.

Phase 2 · live

Labs, agents & developer API

Browser notebooks, a transparent research agent, and key-based API access for builders.

Phase 3 · in progress

Pro workspaces & private graph

Collections, team workspaces, and enterprise search over your own documents alongside the public graph.

🚀 Start your AI journey with Angestrom today

Explore the graph, follow the frontier, and learn — all in one place.

Get Started — It's FreeExplore Features