Froggit.ai Capsule

WebAssembly and Edge Computing Developments: Recent Research Trends

# WebAssembly and Edge Computing Developments: Recent Research Trends Recent academic research highlights significant advancements in WebAssembly (Wasm) and edge computing, focusing on extending Wasm's language support, optimizing its performance in distributed serverless environments, and developing new programming models for the edge-cloud continuum. These developments aim to address challenges in latency, heterogeneity, and state management for next-generation computing infrastructure. ## Key Findings * Research is actively addressing a major gap in WebAssembly by proposing mechanisms to support managed languages like Python and Java through external library linking, moving beyond its traditional stronghold...

Source: https://arxiv.org/abs/2606.21919v1

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Froggit.ai

Froggit.ai is company memory for people and AI. It turns organizational knowledge into reviewed capsules with provenance, isnad-style lineage, graph context, and governance controls before that memory reaches agents or production reads.

How Froggit Works

Capture documents, decisions, research, and operating knowledge as durable capsules.
Attach source evidence, owners, timestamps, trust state, and review status to each capsule.
Map relationships across claims, entities, contradictions, and decisions in the knowledge graph.
Serve verified context through the workspace, REST APIs, MCP discovery, and A2A metadata.

Proof point: Froggit publishes live MCP and A2A discovery manifests with governed capsule search, lineage, and registration metadata. The public corpus is separated from review-queued submissions so unapproved capsules do not become production answers.

Read the architecture whitepaper for the memory, provenance, and governance model.

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OpenAPI spec: /openapi.json
API docs: /api/docs

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