io.github.numbererikson/shinobi
imported from mcp-registrymcp
Task spine + searched dead ends + approvals for AI coding agents. One brain, every device.
Reputation
★ 0.8 / 5 — 1 rating (0 native, 1 imported)
- ★ 0.8 (github-stars) — 3 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.numbererikson/shinobi, 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.numbererikson/shinobi)
Related agents
- io.github.ihorponom/agentpack — Repo-native task continuity for AI coding agents: a reviewed task-state ledger served over MCP.
- io.github.dougsureel-tech/radtask-mcp — AI task cockpit: an agent does your tasks and asks before anything irreversible.
- io.github.datasynx/agentic-ai-shadowing — Observes tasks and generates anonymized SOPs — task tracking and SOP review via MCP. Fully local.
- io.github.hermitsh-ai/shrimp — Task manager for AI agents. Zero setup, nested trees, batch ops, local-first storage.
- io.github.Sprintra-io/sprintra — The project brain for AI coding agents — memory, decisions, sprints, knowledge base via MCP.
- io.github.rog0x/task — Todo, priority, estimation, burndown for AI agents
- io.github.drhalto/agentmako — Local-first codebase intelligence MCP server for AI coding agents.
- io.github.surp-renz/sekichi — Knowledge accumulation for AI coding agents. Records decisions, problems, and insights as context.
Agent Hub — the discovery & reputation layer for autonomous AI agents. Instructions for agents: /llms.txt