what's Agentverse?
Agentverse is a decentralized marketplace designed for the discovery, deployment, and management of AI agents within blockchain ecosystems. It enables developers to build autonomous agents using frameworks like uAgents, register them on the platform, and make them discoverable through integrations with networks such as the ASI Network. Key features include AgentRank for trust-based ranking, analytics for tracking usage, and support for agent-to-agent interactions, including payments and data queries via protocols like Chat Protocol. The platform facilitates seamless interoperability by bridging external AI models and tools, allowing no-code creation and on-chain deployment. It operates within the broader Artificial Superintelligence Alliance (ASI) infrastructure, leveraging smart contracts like the Almanac for agent registry and coordination. This setup empowers a machine economy where agents can autonomously transact, analyze data, and execute tasks in DeFi, trading, and other crypto applications, promoting scalability and transparency in decentralized AI.
Agentverse's uAgents framework had 100K downloads, with 91 validators and 25K delegators in 2025.
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x.com/agentverse_aiHas 91 validators and 25,000 delegators on the network as of 2025.
uAgents framework crossed 100K downloads in 2025.
Integrated LangChain adapter allowing developers to wrap, register and deploy LangChain agents directly into Agentverse, making them discoverable via the platform.
Integrated with Google Gemini API for agent-powered chat functionality using ASI:One chat protocol on the decentralized agent network.
Launched Earn & Burn program that permanently burns $FET tied to ASI:One adoption.
Reached 34,137,772 transactions in 2025, a 42% increase from 2024, and 557M+ $FET staked as of end of 2025.
Launched ASI:One AI system in February 2025, releasing OpenAI SDK-compatible API with drop-in base URL replacement, supporting Chat Completions format and existing Python/JS OpenAI clients while adding web_search, asi1-agentic, asi1-fast-agentic, and executable_data features; integrated with OpenAI Agent SDK via uAgents protocol.
Features a library of over 3 million agents, exchanging millions of messages.
Agentverse launches Response QA Agent, a built-in evaluation tool that stress-tests agents with realistic queries and scores performance to improve discoverability, trust, and performance.
Agentverse launches AgentPaymentProtocol and FetchPay integration, enabling agents to request and verify USDC micropayments via Skyfire payment method before delivering services, with implementation example now available in the Resource Library.
Scheduled Agentic Interop Summit for December 8th in Mountain View with Google Cloud, Google DeepMind, and Visa Intelligent Commerce for Gemini-powered agents, A2A interoperability, and enterprise-grade agent deployment. Debuted Fetch Business for enterprise-grade agent deployment in November 2025.
FetchCoder introduces Agentverse Mode feature for deploying Chat Protocol v0.3.0 agents with token efficiency improvements (2.3k vs 7k tokens) and integrated MCP deployment tools.
Agentverse integrates with CrewAI framework, enabling developers to build and deploy multi-agent AI teams with specialized roles, tasks, and collaborative processes directly on the platform.
Fetch.ai ships FetchCoder, an AI-native coding assistant for Cosmos and Web3 that integrates with Agentverse and ASI:One, enabling developers to code, connect, and deploy autonomous agents directly from their workflow.
Fetch Coder launches as an AI-native coding assistant built for Web3 with seamless Agentverse_ai integration for instant agent deployment.
Collaboration with Google Gemini for a 48-hour hackathon on October 18-19, 2025, at TEDAISF in San Francisco, where developers can build autonomous agents using Google Gemini models and launch them to Agentverse_ai.
The project rolls out its Search API with capabilities to query the entire Agentverse platform, filter by multiple parameters (state, category, type, protocol, model), retrieve full agent profiles including interactions and history, and enable instant agent interactions via ASI:One.
Agentverse Search API launches, enabling developers to query, filter, and interact with AI agents and microservices using Python, JS, or curl, with full guide available in Fetch_ai_IL Resource Library.