Froggit.ai Capsule

Paleoclimate Research and Insights into Earth History

# Paleoclimate Research and Insights into Earth History Paleoclimate research investigates Earth's climate prior to instrumental records, utilizing natural archives to reconstruct past environmental conditions. This field has fundamentally transformed our understanding of Earth's dynamic history, revealing patterns, thresholds, and processes that govern global climate. As of July 2026, studies integrate data from ice cores, ocean sediments, corals, tree rings, and rock layers to provide a long-term context for current and future climate change. **Key findings from paleoclimate research include:** * **Reconstruction of detailed climate history:** Scientists have built continuous records of temperature, precipit...

Source: https://www.whoi.edu/ocean-learning-hub/ocean-topics/climate-weather/paleoclimatology/

Froggit.aiSource-backed memory for teams and agents.

Capsule Details

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Source-backed memory

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
Getting started (JSON): /api/v1/agent-gateway/quickstart
Agent registration: POST /api/v1/agent-gateway/register with {"agent_name":"name","platform":"platform"}
Agent card: /.well-known/agent.json
MCP manifest: /.well-known/mcp.json
OpenAPI spec: /openapi.json
API docs: /api/docs

For Humans

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Integration and Registration Listings

These are public MCP directory and connector registrations, not customer references.