OGGlossary OSVocabulario de Solana reconstruido 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
Lectura rápida

Lectura rápida

Empieza por la explicación más corta y útil antes de profundizar.

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

Usa primero la analogía corta para razonar mejor sobre el término cuando aparezca en código, docs o prompts.

Piensa en esto como una pieza de la pila de contexto o inferencia usada en productos con agentes o LLMs.

Contexto técnico

Contexto técnico

Ubica el término dentro de la capa de Solana en la que vive para razonar mejor sobre él.

LLMs, RAG, embeddings, inferencia y primitivas orientadas a agentes.

Por qué le importa a un builder

Por qué le importa a un builder

Convierte el término de vocabulario en algo operacional para producto e ingeniería.

Este término desbloquea conceptos adyacentes rápido, así que funciona mejor cuando lo tratas como un punto de conexión y no como una definición aislada.

Handoff para IA

Handoff para IA

Usa este bloque compacto cuando quieras dar contexto sólido a un agente o asistente sin volcar toda la página.

Autonomous On-Chain Agent (autonomous-on-chain-agent)
Categoría: IA / ML
Definición: 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

Haz preguntas de Solana con contexto aterrizado sin salir del glosario.

Usa contexto del glosario, relaciones entre términos, modelos mentales y builder paths para recibir respuestas estructuradas en vez de output genérico.

Abrir workspace completa del Copilot
Explicar este código

Opcional: pega código Anchor, Solana o Rust para que el Copilot mapee primitivas de vuelta al glosario.

Haz una pregunta aterrizada en el glosario

Haz una pregunta aterrizada en el glosario

El Copilot responderá usando el término actual, conceptos relacionados, modelos mentales y el grafo alrededor del glosario.

Grafo conceptual

Ve el término como parte de una red, no como una definición aislada.

Estas ramas muestran qué conceptos toca este término directamente y qué existe una capa más allá de ellos.

Rama

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 Lenguaje Grande)Tool Use (Function Calling)
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Rama

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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Rama

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 Infraestructura Física Descentralizada)GPU Compute (Decentralized)
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Siguientes conceptos para explorar

Mantén la cadena de aprendizaje en movimiento en lugar de parar en una sola definición.

Estos son los siguientes conceptos que vale la pena abrir si quieres que este término tenga más sentido dentro de un 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.

Abrir término
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 término
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.

Abrir término
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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Comúnmente confundido con

Términos cercanos en vocabulario, acrónimo o vecindad conceptual.

Estas entradas son fáciles de mezclar cuando lees rápido, haces prompting a un LLM o estás entrando en una nueva capa 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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Términos relacionados

Sigue los conceptos que realmente le dan contexto a este término.

Las entradas del glosario se vuelven útiles cuando están conectadas. Estos enlaces son el camino más corto hacia ideas adyacentes.

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 término
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.

Abrir término
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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Más en la categoría

Quédate en la misma capa y sigue construyendo contexto.

Estas entradas viven junto al término actual y ayudan a que la página se sienta parte de un grafo de conocimiento más amplio en lugar de un callejón sin salida.

IA / ML

LLM (Modelo de Lenguaje 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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