1/ In crypto, data isn’t just chat logs. It’s whitepapers, Excel files, contract code, blurry screenshots of wallet errors, even full repo dumps. Most frameworks fall apart outside of clean text. MAIAR doesn’t.

2/ MAIAR is multimodal by default. It routes incoming inputs—text, images, PDFs, spreadsheets, audio, code—to the right model or parser without extra glue code. No wrappers. No preprocessing pipelines. It just works.

3/ The secret is something called a Capability Registry. Every plugin or model declares what it can handle. MAIAR uses that info to dynamically route each input to the right tool, even when formats are mixed.

4/ And here’s the real unlock: When new model modalities drop—video, higher-res vision, new audio summarizers—you don’t touch the core. Model providers just register their capabilities, and it plugs into the flow automatically.

5/ This makes MAIAR not just capable today, but future-proof. When the frontier shifts, your agents don’t break—they upgrade.

6/ Use cases that actually reflect how crypto works: – Telegram scam detection (PDFs, images, code) – DAO proposal summarization (spreadsheets + markdown) – On-chain agent monitoring (logs, contract diffs, alerts) – Launchpad security reviews (all of the above at once)

7/ With most frameworks, you’re stuck manually converting each file format, writing one-off scripts, and trying to force everything into text. With MAIAR: – PDF → LLM – Sheet → parser – Code → audit model – Screenshot → vision model – Audio → transcript → summary All routed

8/ Why this matters: – Faster builds – Fewer format headaches – Cleaner plugin contracts – Agents that actually understand the media you work with, not just what fits into a chat bubble

9/ MAIAR isn’t a chatbot framework. It’s agent infrastructure. If you’re building crypto-native tools with real-world complexity, this is the stack you want. 📷