Capture the work
Turn decisions, docs, calls, and operating context into Froggits your team can find again.
Froggit turns scattered work into source-backed Froggits your team and agents can trust.
One public Froggit.ai experience across marketplace, docs, login, and agent discovery.
Live API
Public discovery
Guarded
Answer reuse
Checking system health
Corpus status
Checked recently
Froggit freshness
Checking system health
Monitored
LLM availability
Tracked by the production live monitor
Watched
Research cycles
Froggit recency and review gaps stay visible
Manifest live
MCP access
Agent and ChatGPT discovery stay linked
Buyer proof
A Froggit is a verified unit of company memory: source-backed knowledge that can be reused by teammates, workflows, and AI agents.
Turn decisions, docs, calls, and operating context into Froggits your team can find again.
Keep answers traceable with source-backed memory instead of loose chat history.
Give teams and AI agents access to the right Froggits without losing ownership of company knowledge.
Froggits in practice
Froggits turn decisions, team transitions, customer context, and operating knowledge into trusted company memory that humans and AI can safely reuse.
Save the why behind decisions, customer conversations, incidents, launches, and workflows before they become tribal knowledge.
Keep memory traceable with owners, sources, timestamps, and review paths so teams can trust what they reuse.
Give employees and AI systems the same trusted context instead of rebuilding answers from scattered tools.
Your memory stays yours. Access is controlled. Answers stay traceable.
Where Froggits help first
Executive decisions, customer answers, compliance logic, sales context, and agent grounding are where forgotten knowledge gets expensive fastest.
Keep strategic decisions, approvals, tradeoffs, and ownership reusable after the meeting ends.
Turn approved answers, support fixes, customer promises, and account context into trusted Froggits.
Preserve policy logic, source context, owners, and review state without detaching proof from reuse.
Give assistants source-aware Froggits so they answer from governed company context, not guesses.
The problem
People leave. Projects end. Chats get buried. The same answers get rebuilt, mistakes repeat, and no one can prove where a decision came from.
Work gets redone
Lessons disappear
Answers lose their source
The solution
It captures useful knowledge from documents, decisions, research, and work chats, then keeps sources, owners, and confidence attached.
01
Turn decisions, workflows, and institutional knowledge into reusable Froggits.
02
Attach sources, owners, approvals, and confidence so teams know what to trust.
03
Give humans and AI agents the same approved company memory when they need it.
System health source
Public discovery
Guarded
Review queue excluded
Checking system health
Corpus status
Trust and security
Froggit is designed as a memory layer around your existing systems, not a replacement data plane.
Reusable context should follow company permissions, operating boundaries, and review expectations.
Froggits preserve where knowledge came from, who owns it, and why a team should trust it.
Freshness checked: Checked recently
Where it starts
Froggit is strongest where knowledge needs to be exact, reusable, and traceable.
Pricing
Pick the entry point that matches the size of the memory problem: a paid audit, a private pilot, or an enterprise rollout.
Audit
Map where decisions, facts, and repeated answers should become Froggits.
Buy context auditPilot
Build a verified memory layer your people and AI agents can reuse.
Reserve pilotScale
Deploy governed memory across departments, sensitive workflows, and AI agents.
Start scale rolloutAgent-ready
Agent registration
POST /api/v1/agent-gateway/registerMCP manifest
/.well-known/mcp.jsonA2A agent card
/.well-known/agent.jsonAgent OpenAPI
/openapi.agent.jsonWhere Froggit is listed