Choose the workflow. Choose the agent.
Compare opchain with 12 relevant alternatives: workflow frameworks that organize the work, and coding agents that execute it. You can use them together. Pick up to 4 alongside opchain; every table entry links to its sources.
Sources checked · How we compare
- A repeatable process for your agent → compare workflow frameworks.
- A place to run tasks, edit code and review changes → compare coding agents.
- Work that continues into deployment and operations → inspect the workflow and gate rows closely.
Scroll sideways to compare columns. Remove a selection to make room for another.
| Compare by | opchain | Superpowers | Compound Engineering | BMAD Method | GSD Core |
|---|---|---|---|---|---|
| 01 · Foundation | |||||
| What you get | Development and operations skills + local runtimeRuns through an existing AI host.[1][6] | Coding methodology packaged as skills[11] | Delivery skills with a learning loop[12] | Adaptive planning and delivery method[13] | Context engineering and phased delivery[14] |
| Where instructions live | SKILL.md + references, scripts and kitsInstall as a bundle or plugin; files can be versioned.[6] | Composable skill files and bootstrap hooks[11] | Plugin skills, prompt assets and repo config[12] | Installable skills and project runtime[13] | Installed commands, agents and workflow files[14] |
| Session persistence | Shared JSON checkpoints in your repoResume depends on the host reading the saved state.[3] | Saved designs and implementation plansAgent-session continuity comes from the host.[11] | Plans and solutions saved in repo documents[12] | Durable product and technical artifacts[13] | STATE.md and CONTEXT.md survive sessions[14] |
| Adding your own workflow | Edit skills and their supporting files[6] | Author and test skills with writing-skills[11] | Skills, config and experimental Compound Packs[12] | BMad Builder and optional specialist modules[13] | Runtime configuration and open workflow source[14] |
| 02 · Workflow, verification & learning | |||||
| Development workflow | Discovery → build → audit → deploy → monitorExplicit skill handoffs and approval gates.[2][5] | Brainstorm → plan → implement → review → finish[11] | Brainstorm → plan → work → simplify → review → compound[12] | Clarify → plan → build/verify → learn/adjustClear small changes can go directly to build.[13] | Discuss → plan → execute → verify → ship[14] |
| Building AI apps | Dedicated model, RAG, agent and prompt-eval skillsWorkflow guidance plus available execution kits.[1] | General development and debugging workflowSupply domain-specific AI requirements.[11] | General software workflow; configurable reviewersAI application architecture remains project-specific.[12] | General architecture and delivery methodOptional modules specialize the workflow.[13] | General specification and execution frameworkProvide the AI-specific architecture and tests.[14] |
| Agents & quality loops | Builder / Evaluator roles and scored contractsApp Architect shares a session; learning roles require host-provided isolation.[2][9] | Fresh task agents; specification then quality reviewAlso supports batch execution with human checkpoints.[11] | Specialist multi-agent reviewReview reports findings; applying fixes is explicit.[12] | Specialist perspectives and multi-agent discussionsBMad Loop is a separate unattended epic add-on.[13] | Fresh-context researchers, planners and executorsExecution uses parallel waves.[14] |
| Checks & deploy gates | Enrolled Git checks + deployment evidenceHooks need setup; other projects must install their own deploy enforcement.[10][5] | TDD, verification and blocking review instructionsConfigure CI for mechanical deployment enforcement.[11] | Browser checks and bounded CI repair via /lfgMerge requires permission; deployment policy is yours.[12] | Reviewed implementation and optional Test ArchitectCI/deploy enforcement depends on your setup.[13] | Verify results and generate fix plans before completionProduction deployment policy remains project-specific.[14] |
| Learning from past work | Opt-in lessons + task-evaluated rule adoptionSigned external approval required; context retrieval is explicit.[8][9] | Reusable skills; systematic debugging practiceNo automatic project-learning loop described in the core overview.[11] | ce-compound writes lessons to docs/solutions/Later brainstorming and planning reuse them.[12] | Delivery loop includes correction and learningDecisions become context for subsequent work.[13] | Persistent decisions and summariesFresh context is rebuilt from durable artifacts.[15] |
| Working across projects | Registry rolls up project checkpointsStatus reflects the last recorded state.[4] | Git worktrees and parallel task workflowsPortfolio status is outside the documented core.[11] | Experimental shared rule packs across reposLocal or pinned Git sources.[12] | Set up the runtime in each projectNo portfolio dashboard described in the core overview.[13] | Project artifacts; local or global installationGlobal install does not imply portfolio orchestration.[14] |
| 03 · Cost & portability | |||||
| Price & usage costs | Free · Apache-2.0Model, agent host and infrastructure costs remain.[7] | Free · MITAgent/model costs are separate.[11] | Free · MITHost/model and optional tools are separate.[12] | Free · MITYour AI tool and model are separate.[13] | Free · MITModel usage remains billable.[14] |
| Portability & dependencies | Editable files; host capabilities still matterHooks and tool integrations need compatible runtimes.[6] | Open files; per-host installation[11] | Repo artifacts and multi-host plugin adapters[12] | Open skills and portable planning artifacts[13] | Open source; runtime adapters via installer[14] |
| Where it runs | Claude Code, Codex and supported skill/MCP hostsLocal runtime needs Node.js 22.13+ and filesystem access; hosted access varies.[6] | Claude Code, Codex, Cursor, Gemini CLI and others[11] | Claude Code, Codex, Cursor and other agent hosts[12] | Skill-capable coding tools; Claude/Codex pluginsWeb bundles support planning in Gemini and ChatGPT.[13] | Claude Code, Codex, OpenCode, Cursor and othersCurrent home: open-gsd/gsd-core.[14] |
How we compare
This is a review of official documentation and maintainer repositories, checked on September 13, 2026. It is not a hands-on benchmark or a popularity ranking. The selection emphasizes reusable workflows, retained context, verification and practical coding execution. VS Code and Zed are omitted as standalone hosts to keep this comparison focused.
Entries describe the documented core offering. Scope assessments such as “project-specific” or “not described” are our interpretation of the cited sources, not proof that a product cannot do something. Optional modules, beta features and host dependencies are called out where relevant. Review prompts, permission controls and CI-enforced gates do different jobs.
Prices are public USD monthly list prices where stated, before tax; annual discounts and temporary promotions are excluded. Free workflow software still uses a paid or quota-limited agent/model. Check the linked pricing page for current quotas, overages and regional availability.
opchain is free, Apache-2.0 licensed, and compared against its 2.0 skills and packaged runtime. Hindsight retains reviewed lessons;Evolve requires before-and-after task evidence and signed external approval before adopting a rule. Learning is off by default. Retrieving approved context is explicit; automatic host injection needs separate setup. These controls do not establish a measured advantage over another product. Persistent files, reusable skills and multiple agents are also offered by several alternatives; we assign no overall winner.
Use opchain with your existing tools
Use the installation guide for your host. Check which tools and hooks that surface supports; downloading skills alone does not install enforcement.
Browse the skill library or use thepipeline builder to choose a bundle. For an existing codebase, oc-reverse-spec can establish the project context.
Sources · 42 official documentation and repository links
- opchain · skill library
- opchain · App Architect protocol
- opchain · checkpoint protocol
- opchain · project registry and routing
- opchain · deployment protocol
- opchain · installation and host capabilities
- opchain · Apache-2.0 license
- opchain · Hindsight lessons and reviewed activation
- opchain · Evolve task evaluation and reviewed adoption
- opchain · Git enrollment and commit verification
- Superpowers · workflow, skills and license
- Compound Engineering · workflow and retained learning
- BMAD Method · delivery loop, modules and license
- GSD Core · phase loop, context and supported agents
- GSD Core · context engineering
- GitHub Spec Kit · workflow, extensions and presets
- OpenSpec · artifacts, changes and shared stores
- Claude Code · capabilities and execution surfaces
- Claude Code · instructions and auto memory
- Claude Code · hook enforcement
- Claude · plans and Claude Code access
- Codex · pricing and feature availability
- Codex · subagents and custom agents
- Codex · local CLI
- Cursor · agent capabilities and checkpoints
- Cursor · project rules
- Cursor · subagents
- Cursor · agents across repos and environments
- Cursor · plans and usage billing
- GitHub Copilot · cloud agent and review controls
- GitHub Copilot · instructions, skills and custom agents
- GitHub Copilot · repository memory
- GitHub Copilot · plans and AI credits
- Devin · task execution and local/cloud handoff
- Devin · shared Knowledge and suggestions
- Devin · reusable skills
- Devin · using Playbooks
- Devin · plans, seats and usage
- Google Antigravity · products and agent capabilities
- Google Antigravity · rules
- Google Antigravity · skills
- Google Antigravity · plans and quotas
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