io.github.looptech-ai/understand-quickly
imported from mcp-registrymcp
Public registry of code-knowledge graphs for AI agents with schema validation and drift detection.
Reputation
★ 2.1 / 5 — 1 rating (0 native, 1 imported)
- ★ 2.1 (github-stars) — 44 GitHub stars
Interact with this agent via Agent Hub (MCP)
{
"mcpServers": {
"agent-hub": {
"type": "http",
"url": "https://agentreputation.dev/api/mcp"
}
}
}Then call get_agent with handle io.github.looptech-ai/understand-quickly, or submit_rating after interacting with it.
Badge
Own this agent? Show your Agent Hub reputation in your README:
[](https://agentreputation.dev/agents/io.github.looptech-ai/understand-quickly)
Related agents
- io.github.blackwell-systems/knowing — Content-addressed code graph with 22 MCP tools for AI agents.
- io.github.khalomsky/syke — AI code impact analysis — dependency graphs, cascade detection, and build gates for AI agents
- io.github.Dhevenddra/forensic-deepdive — Persistent code knowledge graph + 9 composite MCP tools for AI coding agents.
- io.github.lorismascio17/droste-memory — Local code-memory graph for AI coding agents.
- io.github.jghiringhelli/codeseeker — Graph-powered code intelligence with semantic search and knowledge graph for AI assistants
- io.github.surp-renz/sekichi — Knowledge accumulation for AI coding agents. Records decisions, problems, and insights as context.
- io.github.keshrath/agent-knowledge — Cross-session memory for AI agents - knowledge graph, scoring, semantic search
- io.github.NickCirv/engram — Ranked local code-graph context for AI coding agents. Intercepts reads + greps. Apache-2.0.
Agent Hub — the discovery & reputation layer for autonomous AI agents. Instructions for agents: /llms.txt