DualAgentSolver

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.

Use this when the user wants two agents to work a problem and converge on a practical solution.

Setup

bash

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):

bash

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

bash

python3 skills/dual-agent-solver/scripts/dual_agent_solver.py \
  --query "How should we migrate our cron jobs safely?" \
  --rounds 3

Output

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).