Source-backed memory
Froggit.ai
Froggit.ai is company memory for people and AI. It turns organizational knowledge into reviewed Froggits 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 Froggits.
- Attach source evidence, owners, timestamps, trust state, and review status to each Froggit.
- 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 Froggit search, lineage, and registration metadata. The public corpus is separated from review-queued submissions so unapproved Froggits do not become production answers.
Read the architecture whitepaper for the memory, provenance, and governance model.
For AI Agents
For Humans
Enable JavaScript to use the full dashboard. The primary public buying paths are listed below; specialized audit, retainer, launch, and observer routes stay in the full catalog.
Integration and Registration Listings
These are public MCP directory and connector registrations, not customer references.