OGGlossary OSVocabulario de Solana reconstruido para builders.
ENPT-BRES
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.

IDsolana-agent-kit
Lectura rápida

Lectura rápida

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

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.

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.

Solana Agent Kit (solana-agent-kit)
Categoría: IA / ML
Definición: 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.
Relacionados: Agente de IA, Tool Use (Function Calling), LangChain / LangGraph
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)
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Rama

Tool Use (Function Calling)

An LLM capability where the model generates structured calls to external tools/functions rather than just text. The model decides which tool to invoke and with what parameters. Examples: calling an API, executing code, querying a database, or reading a file. Tool use enables agents to interact with the real world. Claude, GPT-4, and Gemini support native tool use.

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Rama

LangChain / LangGraph

LangChain is a popular open-source framework for building LLM-powered applications, providing abstractions for chains, tools, memory, and retrieval. LangGraph extends it with a graph-based runtime for building stateful, multi-step agent workflows with precise control over execution flow, state persistence, and error recovery. LangGraph is the production-grade choice for complex agentic applications requiring fine-grained state management.

Model Context Protocol (MCP)CrewAI
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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

Tool Use (Function Calling)

An LLM capability where the model generates structured calls to external tools/functions rather than just text. The model decides which tool to invoke and with what parameters. Examples: calling an API, executing code, querying a database, or reading a file. Tool use enables agents to interact with the real world. Claude, GPT-4, and Gemini support native tool use.

Abrir término
IA / ML

LangChain / LangGraph

LangChain is a popular open-source framework for building LLM-powered applications, providing abstractions for chains, tools, memory, and retrieval. LangGraph extends it with a graph-based runtime for building stateful, multi-step agent workflows with precise control over execution flow, state persistence, and error recovery. LangGraph is the production-grade choice for complex agentic applications requiring fine-grained state management.

Abrir término
IA / ML

Stable Diffusion

An open-source image generation model by Stability AI that runs locally on consumer hardware, enabling privacy and customization without API costs. SD 3.5 (2024) ships in multiple variants for different hardware. Its open nature enables a vast ecosystem of community fine-tunes (LoRAs), control methods (ControlNet), and custom workflows (ComfyUI). Competitors include FLUX (Black Forest Labs) and Google Imagen.

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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-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 / 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 / MLautonomous-on-chain-agent

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.

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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 / MLtool-use

Tool Use (Function Calling)

An LLM capability where the model generates structured calls to external tools/functions rather than just text. The model decides which tool to invoke and with what parameters. Examples: calling an API, executing code, querying a database, or reading a file. Tool use enables agents to interact with the real world. Claude, GPT-4, and Gemini support native tool use.

Abrir término
IA / MLlangchain

LangChain / LangGraph

LangChain is a popular open-source framework for building LLM-powered applications, providing abstractions for chains, tools, memory, and retrieval. LangGraph extends it with a graph-based runtime for building stateful, multi-step agent workflows with precise control over execution flow, state persistence, and error recovery. LangGraph is the production-grade choice for complex agentic applications requiring fine-grained state management.

Abrir término
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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