What are context graphs? And why do your AI agents need them?

We benchmark context graphs against other methods of agent memory, and discuss their benefits.

AI agents needs to be able to retrieve all the information that is relevant to the task. Enterprise AI agents need context graphs to do this.

Do you think of tools such as OpenAI's Codex or Anthropic's Claude Code as developer tools, built only for writing software? Not the case. A recent project at SmarterX shows how these tools can be repurposed for one of the most common (and tedious) marketing tasks: making sense of messy data.

Cisco's AI agent deployment could redefine enterprise IT management, enhancing efficiency and security while setting new industry standards. The post Cisco Systems rolls out AI agents to 90,000 employees starting July appeared first on Crypto Briefing.

The launch of BNB Agent Studio could revolutionize digital asset management, enabling seamless integration and monetization of AI agents. The post BNB Chain launches AI agent platform built with AWS appeared first on Crypto Briefing.

The integration enhances DeFi efficiency, enabling AI-driven trading strategies and potentially transforming blockchain liquidity management. The post 1inch connects 600+ liquidity sources across 13 chains for AI agents appeared first on Crypto Briefing.

AI-driven trading could amplify market volatility, prompting regulatory measures that may slow AI adoption and reshape financial market dynamics. The post Bank of England warns AI agents could trigger market meltdowns appeared first on Crypto Briefing.

AI-driven market volatility necessitates urgent regulatory frameworks and stress tests to safeguard financial stability amid rapid tech adoption. The post Bank of England warns AI agents could trigger market meltdown appeared first on Crypto Briefing.