Forgent
Description
forgent — meta-orchestrator that grows its own AI subagents on demand. Routes any task across Claude Code subagents, Python frameworks, and MCP servers.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
forgent
**Plans that learn.** A planning + knowledge layer for AI coding agents. Give it a task; it routes to the best curated specialist out of 60+ knowledge packs, pulls relevant past outcomes from memory, and returns a structured **PlanCard** — steps, gotchas, success criteria, and a memory index — for your host LLM to execute with its own tools.
Ships as a single stdio MCP server. Drop it into Claude Code, Claude Desktop, Cursor, Zed, or any MCP client; every session gets the same `advise_task` / `report_outcome` / `memory_view` surface.
Why this exists
The agent ecosystem is fragmented into silos that don't talk to each other:
| Silo | Top repos | Strengths | Weaknesses |
|---|---|---|---|
| Claude Code subagents | wshobson/agents ( |
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mem0
| Universal memory layer for AI Agents | 51341 | 221 | 1 |
