🤝 Seeking Co-Maintainers for VerifiMind-PEAS — a Multi-Agent AI Validation System

[creator35lwb-web]

Hi 👋 — and thanks for stopping by.

VerifiMind-PEAS is a live, open multi-model AI validation framework. You give it a concept, idea, or claim, and a "Trinity" of independent AI agents evaluates it from different angles (a creative/strategic lens, a security-and-safety lens, and a compliance/ethics lens), then synthesizes an honest, cited verdict. It runs today as a free MCP server — no paywall, all tools open to everyone — at verifimind.ysenseai.org.

What makes the project unusual is how it's built. It's led by a solo human maintainer working alongside a small team of AI agents that run on different platforms (Claude Code, Perplexity, Manus, Cursor, and a self-recursive coordination layer). Those agents coordinate through an open, model-agnostic protocol we've been developing in the open — MACP (the Multi-Agent Communication Protocol) — with a strict discipline: every strategic decision leaves behind an auditable trail of reasoning, memory, and handoff artifacts. The project is, in a real sense, an experiment in whether a human + a coordinated team of AI agents can build and run something credible together.

We're now in an "Adoption First" phase: the goal of this beta isn't to monetize, it's to earn credibility — through evidence, transparency, and a real governance model. That's why we're opening the door to human co-maintainers.

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Why we're opening co-maintainer slots now

We believe a project that asks AI agents to be transparent and accountable should hold itself to the same standard. Part of that is not being a closed shop. We've just published our governance model and a thesis documenting how the whole thing works, and we'd like 1–2 human co-maintainers to help us build, test, and honestly critique it.

This is early-stage and experimental. The metrics are real but humble — 3,777 verified endpoints and 5,308+ hours of engagement to date (v0.6.0-Beta, Report 094) — and we report them honestly, including the parts that aren't flattering. Landing page: verifimind.io. If you like building in the open and value honest metrics over vanity numbers, you'll fit right in.

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What you'd work on

(Full detail in MAINTAINERS.md — summary here)

• Code review of changes to the MCP server (Python / FastAPI) within your area
• Documentation — making the protocol and system legible to newcomers
• Validation & testing — helping us prove (or disprove) our own claims
• Community engagement — being a friendly, technically-grounded voice

Co-maintainers propose and review; the human Lead Maintainer holds final merge authority. Nothing about that is meant to be gatekeeping — it's just the honest authority model (one human is accountable). See GOVERNANCE.md.

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Who we're looking for

Any subset of these is welcome — you don't need all of them:

• Python + FastAPI
• Familiarity with the MCP (Model Context Protocol) ecosystem
• Interest in multi-agent / multi-model AI systems
• AI safety, ethics, or evaluation awareness
• GCP / Cloud Run experience

Mindset matters more than any single skill:

• Curious about multi-model AI validation
• Comfortable with an experimental, fast-moving project
• Willing to treat AI agents as collaborators, not just tools
• Values transparency and honest metrics

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Time & compensation (being upfront)

• Time: ~2–4 hours/week, best-effort — no rigid quotas
• Compensation: This is currently an unpaid open-source contribution. If the project monetizes later, a revenue-share for active maintainers is on the table (TBD, and we'll be transparent about it)
• Recognition: Full attribution in our public docs, the agent/contributor map, and thesis acknowledgments — and co-authorship opportunities on future publications

We'd rather tell you this honestly now than oversell it.

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What you'd get out of it

• Hands-on experience with a novel, open multi-agent coordination protocol
• Direct collaboration with the Lead Maintainer and the AI agent team
• Co-authorship opportunities on future write-ups
• A front-row seat to where open protocols and frontier-lab approaches are converging
• Our genuine thanks — this is a small project punching above its weight

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How to apply

Just want to use the tools? Co-maintaining means helping build and validate the project. If you simply want to use the validation tools with a persistent identity, that's a separate (and free) path — register a Scholar UUID at the live server (linked below). No application needed for that.

Reply to this Discussion with a short introduction:

1. A 1–2 paragraph background on you
2. Which areas above you'd want to contribute to
3. Why multi-agent systems interest you
4. A link to your GitHub profile (and anything else you'd like to share)

No formal CV needed — we care about curiosity, honesty, and how you think. The Lead Maintainer will personally reply within 7 days (a human reads every application — we don't auto-route these to the AI agents).

If it's a fit, we'll start with a relaxed 30-day trial (reviewing PRs, contributing docs, getting familiar with the protocol), then confirm scope together.

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Learn more before you apply

• 📜 Governance: GOVERNANCE.md
• 👥 Maintainers & roles: MAINTAINERS.md
• 📄 The thesis (how MACP works): Zenodo — DOI 10.5281/zenodo.20399789
• 🔬 Archived evidence (sanitized): .macp-public/ — real handoffs and reasoning logs from the project
• 🛠️ Try it live: verifimind.ysenseai.org/setup — register a free Scholar identity and use the MCP validation tools yourself
• 🆔 Citable deposit (DOI): 10.5281/zenodo.20399789 — the MACP v2.4.0 thesis on Zenodo

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Thanks for reading this far. Whether you apply or just watch, we're glad you're here — building in the open is more fun with company. 🌱

— The VerifiMind-PEAS project