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
For Humans
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Integration and Registration Listings
These are public MCP directory and connector registrations, not customer references.