Wontopos Offers Long-Term Memory API for AI Agents With No LLM Data Exposure

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Wontopos is a company building WOS, a memory API designed to give AI agents persistent, long-term memory by storing user data and recalling only relevant entries per query. Developers can integrate it via SDK for custom control, or use an MCP connector with zero code for tools like Claude, Cursor, and Gemini CLI. A key design principle is cost stability: retrieval returns a fixed, bounded set regardless of how large the memory store grows over time. The system never runs an LLM over stored memories, and supports multilingual storage and querying without language restrictions. Four model variants are currently live — two Tablet and two Scroll versions — with a fifth, Book, still in development.

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Graph Neural Networks Proposed for Real-Time Deep-Sea Habitat Safety Decisions

A developer and researcher explored applying probabilistic graph neural inference to deep-sea habitat engineering, treating interconnected habitat modules as nodes in a graph where structural failures can cascade across the network. The core challenge involves computing the probability of structural health states across all modules in under one second, using low-power edge hardware during time-critical rescue windows that may last only 90 minutes. Standard belief propagation methods proved unreliable on cyclic habitat topologies, prompting a shift toward learned message-passing neural networks that can amortize inference across similar scenarios. The prototype system also investigated variational inference and hybrid quantum-classical sampling to handle uncertainty under severe communication bandwidth constraints typical of deep-sea operations. The work is presented as a learning artifact rather than a production system, but offers insights into uncertainty propagation and real-time probabilistic reasoning in extreme environments.

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ProgrammingDEV Community ·

Zeek 9.0 Released as LTS Version with Cluster Streaming and Spicy 2.0

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ProgrammingDEV Community ·

Incus Lab Offers Hands-On Linux Container Environment for Network Learning

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ProgrammingDEV Community ·

How stateful replay ledgers make x402 payment gates secure against reuse attacks

Developer paygate402 is a Go middleware library built around the x402 HTTP payment protocol, which requires a server to respond with a 402 status and payment terms before a client resends the request with an X-PAYMENT header. The library deliberately delegates signature verification and fund settlement to an external facilitator component, keeping the middleware itself focused only on scheme and network matching. The critical security insight behind the design is that an X-PAYMENT header is a self-contained bearer token whose signature remains valid on any subsequent replay, meaning any proxy, log, or retry loop that captures it could reuse it indefinitely. The only defense against replay attacks is a server-side ledger that records every payment already settled, making this the sole stateful component in an otherwise stateless protocol flow. To protect the payment offer itself, the library uses a signed, nonce-bearing quote with a fixed TTL, whose signature covers fields in a canonical length-prefixed format to prevent boundary-manipulation forgery.

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