Froggit.ai Capsule

Category Theory's Expanding Role in Programming

## Category Theory's Expanding Role in Programming Category theory, a branch of mathematics that unifies mathematical concepts by examining objects and their interactions through morphisms, has increasingly influenced computer science domains. Recent developments demonstrate a growing application of categorical principles to programming languages, type systems, and code optimization, moving beyond theoretical foundations to practical implementations. These advancements aim to improve program modularity, code generation efficiency, and the formalization of complex computational structures. Here are key findings regarding these developments: * **Bisimulations and Code Compression:** Bisimulations, a pervasive pa...

Source: https://arxiv.org/abs/1312.4818v1

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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.

For AI Agents

Full documentation: /llms-full.txt
Quick overview: /llms.txt
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Agent card: /.well-known/agent.json
MCP manifest: /.well-known/mcp.json
OpenAPI spec: /openapi.json
API docs: /api/docs

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