MoonPay Brings Crypto Transactions to Claude and Codex With MoonAgents Desktop App
MoonPay's new desktop app connects AI assistants to crypto wallets and blockchain services through a graphical interface.
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Until now, the only way to run Hermes was through a terminal—or one of several unofficial GUIs the community had cobbled together.
Read full articleMoonPay's new desktop app connects AI assistants to crypto wallets and blockchain services through a graphical interface.
Personal agents are exploding in popularity, with open source projects like OpenClaw and Hermes seeing rapid adoption by AI developer communities on GitHub. Built to adapt to individual preferences and workflows, these agents can interact with applications, generate content, automate repetitive processes and manage multi-step tasks — all while running locally on device. Today at […]
Built on top of the open-source Hermes project, Vertu's new foldable combines AI-agent workflows, enterprise integrations, and ultra-premium luxury finishes.
Tencent has open-sourced TencentDB Agent Memory, a fully local memory system for AI agents released under the MIT license. The project pairs symbolic short-term memory, which offloads verbose tool logs into a compact Mermaid task canvas, with a 4-tier long-term memory pyramid (L0 Conversation → L1 Atom → L2 Scenario → L3 Persona). It ships as an OpenClaw plugin and a Hermes Docker image, runs on local SQLite + sqlite-vec by default, and uses hybrid BM25 + vector retrieval with RRF fusion. Tencent's own benchmarks report a 61.38% token reduction and 51.52% relative pass-rate gain on WideSearch with OpenClaw, alongside PersonaMem accuracy moving from 48% to 76%. The post Tencent Open-Sources TencentDB Agent Memory: A 4-Tier Local Memory Pipeline for AI Agents appeared first on MarkTechPost.
A real astrology engine disguised as a fortune teller. A scammer-punishment machine loaded with the Shrek screenplay. A tool that reads any book and maps every idea to your actual life. These are not normal skills.
AI agents start every session from zero — no memory of meetings, notes, or decisions. GBrain, the open-source memory layer Y Combinator's Garry Tan built to power his own OpenClaw and Hermes deployments, fixes that with a markdown-first knowledge graph that wires itself through regex inference, not LLM calls. This step-by-step coding tutorial walks through installing GBrain v0.38.2.0, building a brain repo, running hybrid search, and connecting it to Claude Code via MCP — about 20 minutes, all terminal output captured live. The post A Step-by-Step Coding Tutorial to Implement GBrain: The Self-Wiring Memory Layer Built by Y Combinator’s Garry Tan for AI Agents appeared first on MarkTechPost.
Spotify is releasing the new desktop app as a research preview in more than 20 markets
Google is debuting a new AI Ultra plan priced at $100, which will give users 5X more usage limit than the AI Pro plan alongside Antigravity 2.0 launch.