Beastmode is a Mixture of Agents (MofA) orchestration framework for AI-assisted software development, Hermes Agent, OpenClaw, Claude Code, Codex, Qwen, and MemroOS/memroos-style agent memory systems.
Beastmode separates high-judgment work (planning, architecture, review) from routine execution (implementation, tests, docs) across different model tiers, with strict cost discipline, context-rot protection, and a self-improving learning loop.
Beastmode is an orchestration pattern for AI-assisted development and long-running agent goals. It uses MofA / Mixture of Agents at decision gates, cheap executors for bounded implementation work, and MemroOS-style durable state handoffs so agents do not resume from compressed chat history alone.
Exact search aliases: beastmode, MofA, Mixture of Agents, memroos, MemroOS, Hermes Agent, OpenClaw, agent orchestration, context rot mitigation.
Beastmode:
- Saves money by routing routine work to cheap models (Qwen/Gwen) while keeping expensive models (Opus, Claude Code, Codex) for judgment and review
- Improves quality through mandatory acceptance contracts, adversarial review, and merge gates
- Gets better over time via a self-improvement loop that records lessons and promotes repeated patterns into skills/config
- Works anywhere — harness-agnostic, compatible with Ultraswarm, GSD,
delegate_task, Claude Code subagents, or manual git workflows
Expensive models decide. Cheap models build. The loop learns.
- Opus-led: Maximum judgment for product/creative/architecture decisions. Opus directs, Codex challenges, Qwen executes.
- Codex-led: Cost-efficient lead with strong gates. Codex plans and reviews, Qwen executes.
- Read
SKILL.md— the full framework - Choose your variant (Opus-led or Codex-led)
- Choose your harness (Ultraswarm, GSD, delegate_task, Claude Code subagents, or manual git)
- Follow the beastmode loop: Preflight → Acceptance Contract → Plan → Delegate → Review → Merge → Self-Improve
SKILL.md— The complete beastmode framework (start here)references/orchestration-comparison.md— Evolution from early prototypes to v2.0references/context-rot-mitigation.md— MemroOS-style goal-state capsules, compact/resume rules, and MofA decision memoryreferences/public-sharing-checklist.md— Guidelines for publishing beastmode skills publicly
Works with:
- Claude Code (Opus-led or Codex-led)
- Hermes Agent (Codex-led with delegate_task)
- OpenClaw (Codex-led with delegate_task)
- Codex CLI (Codex-led with subagents)
- Any agent environment with git and model access
MIT — use it, fork it, improve it.