AI Agents & Web3 Agent Ecosystem

Gate News message, April 23 — OpenAI announced the rollout of workspace agents in ChatGPT on April 22, introducing shared AI agents designed to automate complex tasks and extended workflows across tools and teams within an organization. The agents are powered by Codex and operate in a cloud-based en

Gate News message, April 23 — Alibaba Cloud officially released JVS Crew, an enterprise-grade AI Agent construction platform designed with an "integration-first" approach. The platform enables enterprises to quickly embed AI Agent capabilities into existing apps, SaaS services, or smart hardware

CITIC Financial Holding, led by CITIC Financial Holding’s 16 financial institutions, announced the launch of the “Financial Large Language Model FinLLM” project. The first release of the banking model is expected to be published in August, and in 2026 Q1, AI agents based on FinLLM will be introduced. Training will begin in May, with a budget of approximately 40–70 million yuan. Due to regulatory and localization needs, local data training will be the core, strengthening sovereign AI, building shared infrastructure, and extending to inclusive finance. The plan has been incorporated into the national AI development plan and has received cross-ministry support.

Google CEO Sundar Pichai announced at Google Cloud Next in Las Vegas on April 22 that Google plans to invest $175 billion to $185 billion in 2026 in capital expenditures to build the infrastructure needed for autonomous AI agents, up from $31 billion in 2022.

According to the official April 23 announcement by the Google Jules team, Jules’s product positioning has been upgraded from an asynchronous coding agent to an “end-to-end agentic product development platform.” The new version can read the full product context, independently determine the next steps for building, and submit a PR. The official also announced that the new version candidate list is now open.

Gate News message, April 23 — Google's Jules team announced the opening of a waitlist for a new version of the product, repositioning Jules from an asynchronous coding agent to an end-to-end agentic product development platform. According to the official description, the upgraded platform reads enti

Perplexity uses SFT followed by RL with Qwen3.5 models, leveraging a multi-hop QA dataset and rubric checks to boost search accuracy and efficiency, achieving best-in-class FRAMES performance. Abstract: Perplexity's post-training workflow for web-search agents combines supervised fine-tuning (SFT) to enforce instruction-following and language consistency with online reinforcement learning (RL) via the GRPO algorithm. The RL stage uses a proprietary multi-hop verifiable QA dataset and rubric-based conversational data to prevent SFT drift, with reward gating and within-group efficiency penalties. Evaluation shows Qwen3.5-397B-SFT-RL achieving top FRAMES performance, 57.3% accuracy with a single tool call and 73.9% with four calls at $0.02 per query, outperforming GPT-5.4 and Claude Sonnet 4.6 on these metrics. Pricing is API-based and excludes caching.

OpenClaw switches from Pi to Codex harness to fix a silent authentication fallback, with two PRs addressing the bridge and fallback; post-fix, the agent shifts from shallow heartbeat polling to a full work loop, enabling progress. Abstract: OpenClaw’s Codex harness optimization addressed a critical authentication flaw that caused silent fallback to the Pi harness when using Codex with OpenAI models. Two pull requests fix the authentication bridge and prevent silent fallback, changing the runtime adapter. As a result, agent behavior evolves from shallow heartbeat polling to a full work loop that reads context, analyzes tasks, edits repositories, and verifies progress, improving continuity and visibility across heartbeats.

OpenAI launched Workspace Agents on April 22 in ChatGPT Business/Enterprise/Edu/Teachers, powered by Codex, designed for long-running cloud operation, shared by teams, and capable of offline execution. They can proactively respond in Slack and generate invoices, execute multi-step workflows, and support scheduling. The research preview is free until May 6; afterward, it will use a credit-based pricing model, with rates to be announced. They compete alongside Google Gemini Enterprise Agent Platform and Anthropic Claude Cowork. All three focus on enterprise-grade agents, but their positioning differs.

Google Cloud unveiled the Gemini Enterprise Agent Platform at Cloud Next 2026, integrating model selection, agent building, DevOps, orchestration, and enterprise security controls, and launched a $750 million fund to help McKinsey, Accenture, and Deloitte deploy enterprise agents. The platform, along with Ironwood TPU, A2A, and MCP, builds its own full-stack offering and consulting channel, to counter OpenAI Operator and Anthropic Claude Enterprise.

Google announced new security features and deeper integration of Wiz, the Israeli cloud security firm it acquired for US$32 billion, across Google Cloud and rival platforms at its Cloud Next '26 event. The company introduced three AI agents for Security Operations in preview mode, designed for

360 Digital Security's AI-driven agent claims to have found about 1,000 new vulnerabilities, including in Office and OpenClaw; AI now core to discovery and exploit-chain prep, rivaling Mythos. Abstract: A Bloomberg-cited report notes that 360 Digital Security Group’s AI-driven Vulnerability Discovery Agent identified nearly 1,000 previously unknown vulnerabilities in recent months, including in Microsoft Office and the OpenClaw framework. The firm says AI has become the core engine of vulnerability discovery and has announced an AI tool to accelerate exploit-chain construction. Benincasa characterizes 360 as a competitor to Anthropic’s Mythos, based on Natto Thoughts’ review of the company’s Chinese-language announcements.

Gate News message, April 22 — Aethir, a decentralized GPU cloud infrastructure provider, launched version 1.0 of Aethir Claw, its AI agent hosting platform, today. The platform enables users with no technical background to deploy and configure AI agents entirely within their browser in under five

Google reveals tools for building AI agents to automate tasks, track progress, and manage workflows via dedicated agent inboxes, with Workspace updates and a vision of AI agents reshaping daily employee routines. Abstract: Google unveiled tools to create AI agents for task automation, monitor their progress, and streamline workflows, signaling Workspace updates and a future where AI agents transform daily work.

Gate News message, April 22 — Microsoft's AI monetization vice president Tim Frank announced a suite of commercial infrastructure updates designed for the "agentic web" era, enabling publishers, merchants, and advertisers to remain discoverable and tradable as AI agents make purchasing decisions on

Gate News message, April 22 — AI research lab NeoCognition announced the completion of a $40 million seed round, emerging from stealth mode. Founded by Ohio State University Associate Professor Yu Su, along with Xiang Deng and Yu Gu, the company is headquartered in Palo Alto, California. The round w

PicWe announces public beta of PicWe Wallet, an AI-agent-enabled, on-device key wallet with no recovery phrases. It supports multi-chain assets, swaps, AI-accessible automation, and aims to unify RWA infrastructure. PicWe has launched the public beta of PicWe Wallet, an AI Agent-enabled wallet that stores keys on-device, eliminates recovery phrases, and keeps critical operations local. The beta supports multi-chain asset management, swaps, and stablecoin-based fees while enabling programmable AI interactions. Broader PicWe initiatives position the platform as unified infrastructure for real-world assets, enabling issuance, circulation, settlement, cross-border payments, tokenization, and supply-chain coordination for enterprise use cases.

Open-sourced ml-intern, Hugging Face's autonomous ML research agent that reads papers, curates data, trains, evaluates, and iterates across science, medicine, and math. Abstract: Hugging Face's ml-intern is an open-source autonomous ML research agent that reads papers, curates datasets, trains on local or cloud GPUs, evaluates results, and iterates improvements. Built on smolagents with CLI and web interfaces, it navigates arXiv/HF Papers, HF Hub, and HF Jobs. Demonstrations span science, medicine, and mathematics, showing end-to-end automation and performance gains.

Gate News message, April 22 — Google Research released ReasoningBank, an agent memory framework that enables large language model-driven agents to continuously learn after deployment. The framework extracts universal reasoning strategies from both successful and failed task experiences, storing

Gate News message, April 22 — Dai Jifeng, an associate professor at Tsinghua University's Department of Electronic Engineering, has founded Naive.ai, a company focused on open-source model post-training and AI agents. The startup has raised approximately $300 million at an estimated valuation of $80