DualAgentSolver

Run a two-agent collaborative problem-solving workflow where one agent is your OpenClaw agent (primary solver) and a second agent challenges assumptions, sur...

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 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).