yesmem-agents

name	yesmem-agents
description	Use when orchestrating multi-agent work, spawning parallel agents, coordinating swarm tasks, or managing agent communication. Trigger on "/schwarm", parallel work requests, or any inter-agent coordination need.

Agent Orchestration

Spawn, manage, and communicate with parallel agents via Claude Code or opencode.

Workflow

1. spawn_agent(project, section) — create agent for a task section
2. list_agents(project) — see all agents and their status
3. relay_agent(to, content) — inject message into running agent
4. stop_agent(to) — gracefully stop an agent

spawn_agent Parameters

Parameter	Purpose	Default
project	Project name	required
section	Task section name	required
model	Model override (sonnet, opus, haiku, deepseek-chat, deepseek-v4-pro)	inherited
max_turns	Turn limit (0=unlimited)	0
token_budget	Max tokens (0=config default)	0
caller_session	Parent session for callbacks	optional
backend	"claude", "codex", or "opencode"	"claude"

Backend choice:

Backend	Binary	Models	Notes
claude	claude	sonnet, opus, haiku	Anthropic only. Proxy-integrated prompt cache. Full MCP access.
codex	codex	deepseek-chat, deepseek-v4-pro, GPT models	OpenAI-compatible endpoint. Uses opencode.json provider config.
opencode	opencode	deepseek-chat, deepseek-v4-pro, GPT models	Same as codex but uses opencode binary name.

Gotchas:

• backend: "claude" + model: "deepseek-v4-pro" → silent failure (0 turns, no output). The claude binary has no DeepSeek endpoint. Always pair DeepSeek models with backend: "codex" or backend: "opencode".
• Resume is only supported for backend: "claude".

Communication

Action	Tool
Send to specific agent	relay_agent(to, content)
Send to specific session	send_to(target, content)
Broadcast to all sessions	broadcast(content, project)
Check agent status	get_agent(to)
Resume stopped agent	resume_agent(to)
Stop all agents	stop_all_agents(project)

CRITICAL: relay_agent / send_to content MUST end with \n — without trailing newline the prompt stays in the tmux input line and is never submitted. The agent appears unresponsive despite receiving multiple pushes. Always: relay_agent(to, "instruction text\n").

Tips

• to accepts agent ID or section name
• msg_type: "command" (expects reply), "status" (no reply), "ack" (confirmation)
• Agents run in their own terminal — use list_agents to monitor
• scratchpad_write/read for shared state between agents