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NEAR AI explained: agent toolkit, registry, free inference and hosting

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TL;DR of NEAR AI as a toolkit to build, measure and deploy agents: authentication, inference, data stores, tools, smart contract calls and reputation. A CLI and registry host models, datasets and agents, with free inference and hosting.

Key claims
NEAR AI offers free inference and hosting to builders
Registry stores models, datasets, agents and environments
$NEAR ecosystem is absolutely cooking on AI agents, yet it is still often overlooked. TL;DR on NEAR AI ↓ @near_ai is a toolkit to help build, measure, and deploy AI agents seamlessly. Agents on @NEARProtocol are programs of varying complexity that can combine capabilities from across NEAR AI, including: - Authentication - Inference -Data stores - Tools - APIs - Smart contract calls - Reputation -Compliance - Proofs - More NEAR AI as a platform also provides a place for builders to share agents, environments, and datasets, all accessible via the NearAI API, and accelerating open-source and user-owned AGI. The CLI tool that NEAR AI offers enables interactions with the NearAI registry (where models, datasets, agents, and environments are stored), download agents, run them in environments, etc. NEAR AI supports leading open-source LLMs and offers builders free inference and hosting. There are also readily available agents to be forked and deployed, as well as data sets and benchmarks. Quite interesting imo to say the least. $NEAR is definitely among the leading ecosystems in terms of providing infra + tooling to AI builders.
QUOTING @ilblackdragon
New landing page for @near_ai dev platform to focus on building and hosting unstoppable agents. Launch your agent in 5 minutes or less! t.co/YmhVpnrmnJ
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What came next · since 13 Jan 2025

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