Rillet has opened an office in central London, which the US startup described as its first major move into Europe. The company makes ERP accounting software with built-in AI agents. Rillet said customers in the UK and elsewhere in Europe account for 15% of its new annual recurring revenue, with Black Forest Labs and Temporal among them. The company has also signed its first UK hires in sales, deployment and customer support and plans to build a full team in London, but has not said how many people it will hire.
掘金 · 人工智能 argues that agent engineering differs from conventional backend development because a model may choose its next action from newly observed material, adding a semantically uncertain decision stage. Using an Open ETF Agent v0.19.0 teaching case, the article compares tool contracts, permissions, state, recovery, testing, and delivery, then draws on a private research application to examine asynchronous delivery, human replies, memory consumption, and daily replay. It explicitly says these examples do not demonstrate real investment-research or automated-trading capability.
ETF Agent's engineering article describes a narrowed recovery design for long-running research agents, splitting what had been called "recovery" into page reopening, reconstructing a Run after a service interruption, and a user-initiated continuation. Browser reconnection is now read-only and does not trigger a fresh model call, and closing the browser does not end the server-side Run. After a server crash the design allows loss of uncommitted progress while keeping committed results, and a user-started continuation inherits eligible materials but not the old Run's execution authority, leases, or budget.
What problem it solves
AI coding agents need precise code context without repeatedly reading broad files or surrounding code. Gortex turns indexed repositories into a queryable knowledge graph so agents can retrieve symbols, call chains, contracts, and impact relationships through supported development interfaces.
Key features
Graph-native code context — Repositories are indexed into a persistent …
What problem it solves
AI agents often need persistent memory while avoiding the operational complexity of database-backed retrieval systems and multi-component RAG pipelines. Memvid addresses this by combining stored content, indexes, and metadata in a portable file that can be searched directly.
Key features
Single-file portable memory — Data, embeddings, search structures, and metadata are pack…
What problem it solves
Applications often need to combine services, plugins, configuration, and runtime behavior while preserving clear boundaries between components. Cordis addresses composability through contextual services, interception, configuration validation, and lifecycle-aware runtime behavior.
Key features
Service composition and interception — Services can participate in contextual comp…
What problem it solves
Complex robotics and computer-vision processes produce multiple synchronized data streams whose relationships over time are difficult to understand from text logs or conventional debugging tools. Rerun addresses this by recording, visualizing, querying, and streaming multimodal data from sources such as robots, human-data rigs, simulation, and web video.
Key features
Multimo…
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