# Dual Agent Solver

> 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.

- Skill: `dvcrn/dual-agent-solver` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add dvcrn/dual-agent-solver`
- Raw SKILL.md: https://api.skillmd.com/api/skills/dvcrn/dual-agent-solver/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: dvcrn (https://skillmd.com/u/dvcrn)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/dvcrn/dual-agent-solver

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# DualAgentSolver

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).