OGGlossary OSVocabulário de Solana reconstruído para builders.
ENPT-BRES
IA / ML

Autonomous On-Chain Agent

An AI agent that holds its own blockchain wallet, autonomously signs transactions, and manages on-chain positions (DeFi yields, token trades, NFT operations) without human approval for each action. These agents combine LLM reasoning with blockchain tool use to monitor market conditions, execute strategies, and adapt to changing on-chain state. Key challenges include wallet security, transaction simulation, and defining behavioral guardrails to prevent loss of funds.

IDautonomous-on-chain-agent
Leitura rápida

Leitura rápida

Comece pela explicação mais curta e útil antes de aprofundar.

An AI agent that holds its own blockchain wallet, autonomously signs transactions, and manages on-chain positions (DeFi yields, token trades, NFT operations) without human approval for each action. These agents combine LLM reasoning with blockchain tool use to monitor market conditions, execute strategies, and adapt to changing on-chain state. Key challenges include wallet security, transaction simulation, and defining behavioral guardrails to prevent loss of funds.

Modelo mental

Modelo mental

Use primeiro a analogia curta para raciocinar melhor sobre o termo quando ele aparecer em código, docs ou prompts.

Pense nisso como uma peça da pilha de contexto ou inferência usada em produtos com agentes ou LLMs.

Contexto técnico

Contexto técnico

Coloque o termo dentro da camada de Solana em que ele vive para raciocinar melhor sobre ele.

LLMs, RAG, embeddings, inferência e primitivas voltadas a agentes.

Por que builders ligam para isso

Por que builders ligam para isso

Transforme o termo de vocabulário em algo operacional para produto e engenharia.

Este termo destrava conceitos adjacentes rapidamente, então funciona melhor quando você o trata como um ponto de conexão, não como definição isolada.

Handoff para IA

Handoff para IA

Use este bloco compacto quando quiser dar contexto aterrado para um agente ou assistente sem despejar a página inteira.

Autonomous On-Chain Agent (autonomous-on-chain-agent)
Categoria: IA / ML
Definição: An AI agent that holds its own blockchain wallet, autonomously signs transactions, and manages on-chain positions (DeFi yields, token trades, NFT operations) without human approval for each action. These agents combine LLM reasoning with blockchain tool use to monitor market conditions, execute strategies, and adapt to changing on-chain state. Key challenges include wallet security, transaction simulation, and defining behavioral guardrails to prevent loss of funds.
Relacionados: Agente de IA, Solana Agent Kit, AI × Blockchain Integration
Glossary Copilot

Faça perguntas de Solana com contexto aterrado sem sair do glossário.

Use contexto do glossário, relações entre termos, modelos mentais e builder paths para receber respostas estruturadas em vez de output genérico.

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Explicar este código

Opcional: cole código Anchor, Solana ou Rust para o Copilot mapear primitivas de volta para termos do glossário.

Faça uma pergunta aterrada no glossário

Faça uma pergunta aterrada no glossário

O Copilot vai responder usando o termo atual, conceitos relacionados, modelos mentais e o grafo ao redor do glossário.

Grafo conceitual

Veja o termo como parte de uma rede, não como uma definição sem saída.

Esses ramos mostram quais conceitos esse termo toca diretamente e o que existe uma camada além deles.

Ramo

Agente de IA

An autonomous AI system that can plan, use tools, and take actions to accomplish goals. Agents use LLMs as the reasoning core and have access to tools (APIs, code execution, web browsing, database queries). In blockchain: agents can analyze smart contracts, execute transactions, monitor DeFi positions, and automate trading strategies. Frameworks: LangChain, CrewAI, Claude Agent SDK.

LLM (Modelo de Linguagem Grande)Tool Use (Function Calling)
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Ramo

Solana Agent Kit

An open-source toolkit developed by SendAI (formerly Sendai) that enables AI agents to interact with Solana protocols programmatically. The kit provides pre-built tools for token transfers, swaps, staking, NFT operations, and DeFi interactions that can be integrated into agent frameworks like LangChain and CrewAI. It abstracts Solana transaction building and signing, allowing LLM-powered agents to execute on-chain actions through natural language commands.

LangChain / LangGraph
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Ramo

AI × Blockchain Integration

The convergence of AI and blockchain technologies. Key patterns: AI agents executing on-chain transactions autonomously, blockchain providing verifiable compute receipts for AI inference, decentralized GPU networks for AI training, on-chain governance of AI model parameters, NFTs for AI-generated content provenance, and LLMs as smart contract development assistants.

DePIN (Redes de Infraestrutura Física Descentralizada)GPU Compute (Decentralized)
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Próximos conceitos para explorar

Continue a cadeia de aprendizado em vez de parar em uma única definição.

Estes são os próximos conceitos que valem abrir se você quiser que este termo faça mais sentido dentro de um workflow real de Solana.

IA / ML

Agente de IA

An autonomous AI system that can plan, use tools, and take actions to accomplish goals. Agents use LLMs as the reasoning core and have access to tools (APIs, code execution, web browsing, database queries). In blockchain: agents can analyze smart contracts, execute transactions, monitor DeFi positions, and automate trading strategies. Frameworks: LangChain, CrewAI, Claude Agent SDK.

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IA / ML

Solana Agent Kit

An open-source toolkit developed by SendAI (formerly Sendai) that enables AI agents to interact with Solana protocols programmatically. The kit provides pre-built tools for token transfers, swaps, staking, NFT operations, and DeFi interactions that can be integrated into agent frameworks like LangChain and CrewAI. It abstracts Solana transaction building and signing, allowing LLM-powered agents to execute on-chain actions through natural language commands.

Abrir termo
IA / ML

AI × Blockchain Integration

The convergence of AI and blockchain technologies. Key patterns: AI agents executing on-chain transactions autonomously, blockchain providing verifiable compute receipts for AI inference, decentralized GPU networks for AI training, on-chain governance of AI model parameters, NFTs for AI-generated content provenance, and LLMs as smart contract development assistants.

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IA / ML

Bittensor (TAO)

A blockchain protocol that decentralizes AI by creating an open marketplace for machine intelligence. Built on Substrate with a Yuma consensus mechanism, Bittensor rewards contributors with TAO tokens based on the quality of their AI outputs. The network hosts 100+ specialized subnets for different AI tasks. TAO supply is capped at 21M with Bitcoin-style halvings.

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Comumente confundido com

Termos próximos em vocabulário, sigla ou vizinhança conceitual.

Essas entradas são fáceis de misturar quando você lê rápido, faz prompting em um LLM ou está entrando em uma nova camada de Solana.

IA / MLagent-ai

Agente de IA

An autonomous AI system that can plan, use tools, and take actions to accomplish goals. Agents use LLMs as the reasoning core and have access to tools (APIs, code execution, web browsing, database queries). In blockchain: agents can analyze smart contracts, execute transactions, monitor DeFi positions, and automate trading strategies. Frameworks: LangChain, CrewAI, Claude Agent SDK.

AliasAutonomous AgentAliasAgentic AI
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IA / MLagent-loop

Agent Loop

The core iterative execution cycle of an agentic AI system: Perceive, Reason, Act, Observe, Repeat. At each iteration, the agent assembles context, invokes an LLM to reason and select an action, executes via tools, observes the result, and feeds it back into the next iteration—continuing until the task is complete. The agent loop is the architectural pattern that distinguishes AI agents from simple chatbots.

AliasAgentic LoopAliasReAct Loop
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IA / MLchain-of-thought

Chain-of-Thought (CoT)

A prompting technique or model-native capability where the LLM produces intermediate reasoning steps before arriving at a final answer, improving accuracy on multi-step problems. Originally a prompting strategy ('think step by step'), CoT is now built directly into reasoning models like o1 and DeepSeek-R1 as an internal process. When combining CoT with structured output, developers should place reasoning fields before answer fields to avoid bypassing the reasoning process.

AliasCoTAliasExtended Thinking
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Termos relacionados

Siga os conceitos que realmente dão contexto a este termo.

Entradas de glossário só ficam úteis quando estão conectadas. Esses links são o caminho mais curto para ideias adjacentes.

IA / MLagent-ai

Agente de IA

An autonomous AI system that can plan, use tools, and take actions to accomplish goals. Agents use LLMs as the reasoning core and have access to tools (APIs, code execution, web browsing, database queries). In blockchain: agents can analyze smart contracts, execute transactions, monitor DeFi positions, and automate trading strategies. Frameworks: LangChain, CrewAI, Claude Agent SDK.

Abrir termo
IA / MLsolana-agent-kit

Solana Agent Kit

An open-source toolkit developed by SendAI (formerly Sendai) that enables AI agents to interact with Solana protocols programmatically. The kit provides pre-built tools for token transfers, swaps, staking, NFT operations, and DeFi interactions that can be integrated into agent frameworks like LangChain and CrewAI. It abstracts Solana transaction building and signing, allowing LLM-powered agents to execute on-chain actions through natural language commands.

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IA / MLai-blockchain-integration

AI × Blockchain Integration

The convergence of AI and blockchain technologies. Key patterns: AI agents executing on-chain transactions autonomously, blockchain providing verifiable compute receipts for AI inference, decentralized GPU networks for AI training, on-chain governance of AI model parameters, NFTs for AI-generated content provenance, and LLMs as smart contract development assistants.

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Mais na categoria

Permaneça na mesma camada e continue construindo contexto.

Essas entradas vivem ao lado do termo atual e ajudam a página a parecer parte de um grafo maior, não um beco sem saída.

IA / ML

LLM (Modelo de Linguagem Grande)

A neural network trained on vast text corpora to understand and generate human language. LLMs (GPT-4, Claude, Llama, Gemini) use transformer architectures with billions of parameters. They power chatbots, code generation, summarization, and reasoning tasks. In blockchain development, LLMs assist with smart contract writing, audit review, documentation, and code explanation.

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IA / ML

Transformer

The neural network architecture underlying modern LLMs, introduced in 'Attention Is All You Need' (2017). Transformers use self-attention mechanisms to process input sequences in parallel (unlike recurrent networks). Key components: multi-head attention, positional encoding, feedforward layers, and layer normalization. Variants include encoder-only (BERT), decoder-only (GPT), and encoder-decoder (T5).

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IA / ML

Attention Mechanism

A neural network component that allows models to weigh the relevance of different parts of the input when producing output. Self-attention computes query-key-value dot products across all positions, enabling each token to 'attend' to every other token. Multi-head attention runs multiple attention functions in parallel. Attention is O(n²) in sequence length, driving context window research.

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IA / ML

Foundation Model

A large AI model trained on broad data that can be adapted for many downstream tasks. Foundation models (GPT-4, Claude, Llama 3, Gemini) are pre-trained on internet-scale text/code and can be fine-tuned, prompted, or used via APIs for specific applications. The term emphasizes that one base model serves as the foundation for diverse use cases rather than training task-specific models.

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