ronaldo

i built a claude plugin for crypto research and open-sourced it the core idea: context is the moat for research agents - everything else is commodity let me explain @0xJeff noted recently that x402 volume is at all-time highs and ERC-8004 registered agents quadrupled in a single month 24,000+ agents registered in two weeks, and now chains from base to abstract are racing to deploy their own registries. all those agents have identity. they have reputation primitives. what they don't have is any understanding of what matters to you. your niche. your collateral preferences. your risk vocabulary. your positioning but here's what just a few is building for - the context layer @hypepartners recently launched HypeOS every one of those 24,000 agents starts at zero context. until someone builds the persistent research memory that makes an agent useful in a specific domain, the registries are just directories of blank profiles that's the gap this plugin fills four agents, persistent memory, feedback loops, fine-tuned for your community and narratives. the longer it runs, the sharper it gets agent 1 runs once reads your last 200 posts and builds a profile. topics, keywords, voice, KOL watchlist. this is the onboarding context every future session inherits agent 2 runs daily pulls signals from @KaitoAI, X timelines for your ecosystem, your own recent posts. everything lands in a context database that only grows agent 3 is the one that matters scores signals against your accumulated context, not generic trending. detects narrative convergence across your specific KOLs. generates engagement replies in your voice backed by supporting data agent 4 runs weekly reads full history, proposes knowledge base updates. what's emerging, what's fading, what accounts are worth adding day one it knows your niche. day thirty it knows your niche better than you do think @KaitoAI but really personalized kaito is excellent for broad market mindshare token sentiment, narrative momentum, smart follower signals across the whole market. genuinely great infra. but try searching kaito for "tokenized gold yield strategies" or "PT maturity convergence across pendle markets" - it's nowhere. those niches are too specific for any marketing tool with this plugin, that positioning is razor sharp. because you defined the context. you chose the KOLs. you trained the vocabulary. you set the narrative boundaries for someone tracking vault mechanics, the system knows that when two of your watched accounts start discussing the same collateralization structure within 24 hours agent is trained to use resources that available among the below:the plugin ships with four MCP connectors: - kaito for macro narrative discovery, requires Kaito Pro subs, but very good for narratives discovery - X/twitter connector for individual timelines, the most expensive per call but the sharpest for narrative discovery - X-Netrows API - cheaper than X api, bad with narratives - tavily for web context (protocol docs, TVL data, on-chain analytics) the honest limitations: this is a draft-first system and it I'm evolving it dat-by-day - v3.1 is coming to enable scheduling the value isn't automation. it's compression. 2-3 hours of daily research compressed into 20 minutes of reviewing outputs generated against your specific context everyone is building agent identity and agent payments. those are table stakes. the question is what gives an agent a reason to be discovered and trusted in the first place. my answer: accumulated domain-specific context that nobody else has repo in the first reply question: if you're running a research workflow for yield opportunities, what's the one context gap that no existing tool fills for you?

We just open-sourced Mission Control — our dashboard for AI agent orchestration. 26 panels. Real-time WebSocket + SSE. SQLite — no external services needed. Kanban board, cost tracking, role-based access, quality gates, and multi-gateway support. One pnpm start, and you're running. github.com/builderz-labs/…