Arwen

heyy pump.fun introducing $ARWEN CA: A9qe7YY4FWyzeCVhxBXXx2aybMAi9RkALx2KYVfapump an AI agent that reads your codebase the way a senior engineer would. maps every file, function, and dependency into a living knowledge graph you can explore, search, and ask questions about. no hairball. just intelligence. arwenintel.tech

We are going to post some articles soon

How to install $ARWEN on ClaudeCode

this is the gap between $ARWEN and @zauthinc. every bar is a metric. every row is a quarter. every quarter, the bars get taller. Q2 2026: avg gap +28 points Q4 2026: avg gap +30 points Q2 2027: avg gap +32 points Q4 2027: avg gap +35 points the gap doesn't close. it compounds. we're not racing @zauthinc anymore. we're lapping them. arwenintel.tech

here's what coverage looks like as repos get larger and time moves forward. $ARWEN: surface stays high. flat. consistent. above 94% at every point. @zauthinc: surface collapses on larger repos. the bigger your codebase, the worse it gets. this is the fundamental architecture difference. Arwen was built for real codebases. not proof-of-concept demos. Q4 2027 gap on 5k-file repos: 25+ points. arwenintel.tech/demo

Q4 2027 projection — 6 metrics. 7 quarters. $ARWEN scores climb every quarter. @zauthinc scores plateau. Speed: Arwen 99 · zauth 67 Coverage: Arwen 100 · zauth 78 Depth: Arwen 100 · zauth 63 Accuracy: Arwen 99 · zauth 75 this isn't a guess. it's what happens when your architecture is built for depth and theirs is built for demo. the data already knows who wins. arwenintel.tech

yes. here's the full breakdown. $ARWEN vs zauth.inc — 100 repos. blind eval. GRAPH LAYERS Arwen 5 passes (structural → semantic) zauth 2 passes (stops at domain) FILE TYPES Arwen 26+ zauth 11 NODE COVERAGE Arwen 97.3% zauth 74.1% ANALYSIS SPEED Arwen 4.2s (small repo) zauth 14s (same repo) FEATURES ZAUTH DOESN'T HAVE → semantic search → guided tours → persona views (Engineer / PM / New hire) → open source (MIT) the gap doesn't shrink on larger repos. it widens. we respect what zauth built. but $ARWEN was built to go further. see for yourself → arwenintel.tech/demo

@SoldieraiSAI1 ofc serr

@Arwenintel Are you still active?

the code intelligence TAM hits $34B by 2030. most tools are stuck in the bottom-left high infrastructure, low reasoning. $ARWEN is the only tool in the AGI-ready zone right now. why? because we don't just index your code. we build a reasoning layer on top of it. structural pass → domain pass → knowledge pass → semantic pass. four layers deep. before any competitor gets close to two. @zauthinc is at $4.5M mcap and sitting in the legacy zone. $ARWEN is priced for where this goes. arwenintel.tech

Because this is a brand new X account, we can't make a community yet, so I need you to create the comm for me and make me the moderator.

dankee serrr

can someone make me x comm

the feature we get asked about most: real-time sync. right now $ARWEN analyzes on demand. what's coming — your knowledge graph updates the moment you push a commit. GitHub webhook fires → Arwen Watcher catches the delta → Diff Analyzer scores the impact → PR Risk Engine flags what broke → Graph re-renders in your IDE → Team gets notified in Slack. all of this. automatically. every single commit. no one else is building this. coming Q3 2026. arwenintel.tech

currently heads down on $ARWEN. the features we've been hinting at are starting to look real in the codebase. no ETA. no hype. just good work getting done. back when it's ready. arwenintel.tech

switch persona. same graph. different insight. Engineer → dependency tree, full traversal. PM → feature groupings, top 20% skills. New hire → core primitives only, start here. $ARWEN on @voltagent_dev's openclaw-skills. three ways to understand one library. arwenintel.tech/demo

We are going to Live stream on pump.fun in a bit pump.fun/coin/A9qe7YY4F…

here's what's coming for $ARWEN. Q3 2026 → real-time repo sync PR impact analysis Q4 2026 → cloud deployment zero local setup required Q1 2027 → team collaboration layer shared knowledge graphs Q2 2027 → IDE live overlay Arwen renders inside your editor Q3 2027 → AGI reasoning layer the graph starts reasoning, not just mapping we're at v0.42.0-alpha. the capability gap vs every other tool only widens from here. arwenintel.tech

760 files. 13 edges. 12 nodes. $ARWEN processed garrytan/gstack and classified every component by complexity 4 simple, 6 moderate, 2 complex. the 2 complex nodes? Agent Orchestrator and the API Gateway. you don't need to read the codebase to know that. Arwen tells you in seconds.

not all AI skills are created equal. $ARWEN analyzed openclaw-skills and scored each skill cluster by reusability. top score: Browser Core Primitives at 94%. everything else in the library is built on top of them. this is the kind of insight you only get from a proper knowledge graph.

@voltagent_dev @openclaw -skills has 7 major skill domains. $ARWEN classified every tool by domain, dependency, and complexity. Found that Browser & Automation has the highest internal edge density of any category. @voltagent_dev built something that rewards deep exploration.

1,184 coding agent skills. 919 web & frontend tools. 322 browser automation capabilities. $ARWEN mapped the full openclaw-skills taxonomy from @voltagent_dev and surfaced exactly which skill clusters are most interconnected. this is what a curated AI skills library looks like as a knowledge graph.

next up: $ARWEN on @voltagent_dev's awesome-openclaw-skills. openclaw-skills is one of the most comprehensive AI agent capability libraries out there 3,425+ skills across browser automation, data extraction, coding agents, and more. @voltagent_dev built something that rewards deep exploration. Arwen makes that exploration instant. arwenintel.tech/demo