- name
- dual-agent-solver
- description
- Run a two-agent collaborative problem-solving workflow where one agent is your OpenClaw agent (primary solver) and a second agent challenges assumptions, surfaces risks, and improves the plan over multiple rounds, then outputs one merged actionable solution and stores it in Open Brain memory.
DualAgentSolver
Use this when the user wants two agents to work a problem and converge on a practical solution.
Setup
export OPENBRAIN_MCP_URL="http://127.0.0.1:54321/mcp"
# optional
export OPENBRAIN_MCP_TOKEN="..."Optional second-agent model via OpenAI API (if key exists):
export OPENAI_API_KEY="..."
export SOLVER_SECOND_MODEL="gpt-4o-mini"If OPENAI_API_KEY is missing, the second agent also runs through openclaw agent.
Run
python3 skills/dual-agent-solver/scripts/dual_agent_solver.py \
--query "How should we migrate our cron jobs safely?" \
--rounds 3Output
Returns JSON including:
- round-by-round solver + critic outputs
- final merged solution
- memory write result and key (
dual-agent-solver:<timestamp>)
Storage
Persists outcome into public.memories (creates table if missing).