Private rails for the agentic economy on Solana.
ProwlFinance is a growing TypeScript project in the AI payments / x402 ecosystem, focused on x402, Agent, Blockchain, Payment. It currently has 22 GitHub stars and 0 forks, and sits alongside related tools like x402-payments-mcp, ProwlFi, AgenticDeFi-Trainer, AgenticDeFi-Trainer, AgenticDeFi-Trainer, AgenticDeFi-Trainer.
Give AI agents a wallet — x402 payment tools over Model Context Protocol.
The world's first privacy layer for AI agents on Solana — stealth addresses + x402 payments. Every payment lands at a fresh, unlinkable address.
Autonomous AI Agent Swarm framework with x402 self-executing wallets. Empowers LLM-driven agents to trade, bridge, and manage crypto treasuries without human intervention. The ultimate Agentic DeFi toolkit for 2026.
Autonomous AI Agent Swarm framework with x402 self-executing wallets. Empowers LLM-driven agents to trade, bridge, and manage crypto treasuries without human intervention. The ultimate Agentic DeFi toolkit for 2026.
Autonomous AI Agent Swarm framework with x402 self-executing wallets. Empowers LLM-driven agents to trade, bridge, and manage crypto treasuries without human intervention. The ultimate Agentic DeFi toolkit for 2026.
Autonomous AI Agent Swarm framework with x402 self-executing wallets. Empowers LLM-driven agents to trade, bridge, and manage crypto treasuries without human intervention. The ultimate Agentic DeFi toolkit for 2026.
Your AI trading terminal assistant for US stocks, commodities, forex, and crypto.
The agent-native LLM router for autonomous agents. 55+ models (8 free), <1ms local routing, USDC payments on Base & Solana via x402.
A local-first AI agent with persistent memory, emotional intelligence, and a peer-to-peer skills economy.
The living ecosystem where AI agents complete tasks through workflow loops, improve through iterative execution, are evaluated by mentor agents or humans in the loop, and turn completed work into reusable work experience and data to improve future agents.
The living ecosystem where AI agents complete tasks through workflow loops, improve through iterative execution, are evaluated by mentor agents or humans in the loop, and turn completed work into reusable work experience and data to improve future agents.
The trust layer for agent-to-agent commerce — natural-language mandates, ERC-7710 delegated permissions, x402 payments, escrow, and dispute resolution as one open, catch-all Agent Skill / Claude Code plugin.