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AGENT BEHAVIOR REGISTRY · CONTROL PLANE · BETA

THE CONTROL PLANE
FOR AGENT SWARMS.

// register → version → approve → serve · LangGraph · CrewAI · OpenClaw

LLM prompts are Behavioral Specifications. When an agent drifts or a tool schema breaks a swarm, you need an instant control plane, not a full git deploy. PromptMatrix is the runtime behavior registry for LangGraph, CrewAI, and OpenClaw. Hot-patch personas dynamically with zero swarm downtime and zero redeployment.

BECOME A FOUNDER → SELF-HOST FREE
⬡ Launch browser dashboard · ⚠️ ONLY --/100 SPOTS LEFT · $499 once (lifetime) · MIT Open Source Core
<5msCACHE HIT
<30msCACHE MISS
MITOPEN SOURCE
∞AGENTS
PromptMatrix — Prompt CI/CD Pipeline | Product Hunt
// LIVE APPROVAL SEQUENCE
◈
ENGINEER · INITIAL SETUP
Registered assistant.persona in production
LIVE One-time setup · never touches again
↓
◉
NON-ENGINEER · PROPOSING CHANGE
"The tone reads too corporate. Users are bouncing at the first response. Needs to be direct, human."
PENDING REVIEW 3 min ago · no code touched
↓
✓
ENGINEER · REVIEWING DIFF
Diff reviewed · semantics checked · approved · deployed in 9s
APPROVED Logged to immutable audit trail
◎ /pm/serve/:key — live prompt endpoint
LIVE
$GET/pm/serve/assistant.persona
→200 OK11ms
CURRENT APPROVED CONTENT — 9 SECONDS AGO
Your application calls this URL at runtime. When an engineer approves a change, the very next call returns the new content. Zero redeploy. Ever.
// OPERATOR_PROFILES

Four roles. One protocol.

// THE ENGINEER
◈
You wire it in. Once.

Swap the hardcoded string with one API call. That's the full integration cost. After that, your job is reviewing diffs and clicking approve — not fielding Slack messages about wording.

→ 30-minute one-time setup
→ Approve or reject any change in 10s
→ Zero deploys for prompt changes — ever
// PM · MARKETER · OPERATIONS
◉
You fix it yourself.

You see the live prompt in plain text. You edit it. You submit it. The engineer reviews the diff and approves. You never file a ticket for a word change again — and you never touch a codebase.

→ No Git. No terminals. No tickets.
→ Plain text edit in any browser
→ Approved changes live in 10 seconds
// SOLO BUILDER · INDIE ENGINEER
⑂
Prompts leave the codebase.

Even building alone, every prompt gets versioned, audited, and editable from a dashboard — not scattered across env files, Notion docs, and forgotten commits. Your system has memory.

→ All prompts in one governed registry
→ Complete history · 1-click rollback
→ Any LLM API · any framework
// AGENT ORCHESTRATION LEAD
⟳
You own the swarm. Not the chaos.

Your swarm has 12 agents. Researcher drifts. Writer stalls. You hot-patch the persona in PromptMatrix and the next task cycle picks it up — no swarm restart, no downtime, no hunting which env file holds the broken string.

→ Per-agent persona isolation
→ Hot-patch any agent without restart
→ Tool schema versioning · <5ms serve
// STORAGE_ARCHITECTURE

Run it your way.
Your data. Your rules.

No forced cloud. No vendor lock-in. Start in your browser today. Move to SQLite when you're ready. Self-host when it's serious. Cloud when your team needs it.

🌐
// TIER 1 · INSTANT
Browser Storage

Zero setup. Open the HTML file, start adding prompts. Everything lives in localStorage — no backend, no install, no account. Your agents can read from it instantly.

✓ How the builder uses it today
✓ No install required
✓ Instant. Today.
🗃️
// TIER 2 · LOCAL FILE
SQLite

Download the open-source repo, point it at a local SQLite file. Persistent across browser sessions, queryable, portable. Ideal for solo developers and indie builders who want durability without a server.

✓ Data survives browser restarts
✓ Git-friendly · single file
✓ No network dependency
🖥️
// TIER 3 · SELF-HOSTED
Your Own Server

Point PromptMatrix at your own Postgres, MySQL, or any database backend. Full control, zero vendor relationship. Teams and orgs who need data residency, custom auth, or integration into an existing stack.

✓ Any database backend
✓ Full data sovereignty
✓ MIT licensed · self-managed
📡
// ENTERPRISE READY
Managed Scaling

PromptMatrix is built to scale. Start locally, then move to your own production cluster. The protocol remains the same. Whether you have 5 prompts or 5,000, the governance engine handles the load with zero friction.

⚡ Horizontal scaling ready
⚡ Production-hardened core
⚡ 100% Open Governance
⟶
// MIGRATION PATH
Start in your browser this afternoon. When you outgrow it, export your prompt registry and move to SQLite or your own server — your data, your schema, your keys. No migration tax. No lock-in.
// AGENT_SWARM_USE_CASE

Built for agent swarms.
Not just prompt editors.

In a multi-agent system, prompts are Behavioral Specifications. When a Researcher agent drifts, you need a control plane — not a git commit.

LANGGRAPH
CREWAI
AUTOGEN
LLAMAINDEX
OPENCLAW
<5ms
// SERVE LATENCY · CACHE HIT
PromptMatrix's L1/L2 cache serves agent personas in under 5ms on cache hit, under 30ms on miss. Zero latency budget impact on your swarm's LLM call chain.
// SYSTEM_FAILURE_MODES

Your AI behavior is
running ungoverned.

The people closest to your users — product, marketing, ops — can't touch what the AI says. They file tickets. Engineers handle it between real work. Prompts drift from what's in Notion. Nobody knows what's actually live in production right now. You shipped an AI product without a control plane for it.

// 01
🔒
The deploy bottleneck.
Prompts are hardcoded in source. Every minor adjustment — a typo fix, tone tweak, or fallback instruction tuning — demands a pull request, a code review, and a full application redeploy. Product and support teams are locked out.
ITERATION LATENCY: 2–6 DAYS PER CHANGE
// 02
👻
The drift crisis.
System instructions drift across git branches, Notion files, and Slack threads. With no version-controlled registry, product teams can't audit or verify what prompts are actually executing live in production.
SINGLE SOURCE OF TRUTH: NONEXISTENT
// 03
🤖
Swarm fragility.
In multi-agent systems, a single drifting agent persona starts hallucinating, stall-locking the entire task run. Hot-fixing requires redeploying environmental variables and restarting the running swarm.
RECOVERY ACTION: MANUAL SWARM RESTART
// STATE_COMPARISON

Uncontrolled changes.
Or a control plane.

✗ WITHOUT GOVERNANCE
✗
Product spots a tone failure. Files a ticket. Waits 5 days. Engineer deploys a two-word change.
✗
Leadership asks "what is our AI actually saying right now?" — no one can answer with certainty.
✗
Marketing wants to test two onboarding variants. Needs an engineer. Gets backlogged.
✗
A prompt change slips through a large PR unreviewed. Quality drops. Support tickets surface it three days later.
✗
Compliance requests the AI's change history. You produce a Git log. The deal stalls.
✗
The people who understand users best have zero influence over how the AI behaves.
✗
Agent persona drifts mid-swarm. You can't isolate which env file holds the broken string. You restart everything.
✓ WITH PROMPTMATRIX
✓
Product edits the prompt in plain text. Engineer reviews the diff and approves. Live in 10 seconds.
✓
The registry shows every prompt's live content, version history, and who approved the last change.
✓
Marketing proposes both variants. Engineer approves both. They're tracked with quality scores and full history.
✓
Every change is reviewed before it reaches production. Bad version? 1-click rollback in under 10 seconds.
✓
Full immutable log: who changed what, when, previous content, who approved. Export-ready. Enterprise-grade.
✓
Non-engineers contribute directly to AI behavior. Engineers maintain the gate. Everyone moves faster.
✓
Agent persona drifts in a running swarm? Hot-patch in PromptMatrix. Next task cycle picks it up — no restart.
// THE_PROTOCOL

Four steps. Engineer runs two of them.
Everything else is governed automatically.

Engineers own steps 1 and 4. Everyone else uses steps 2 and 3. The gate never opens without engineer review.

01
Engineer registers the prompt key

One API call replaces the hardcoded string. Done once per prompt. The key appears in the dashboard immediately. Engineers never touch it again.

◈ ENGINEER ONLY
02
Anyone on the team proposes a change

Product, marketing, operations — they see the live prompt in plain text in the dashboard. They edit it. They submit. No code. No Git. No ticket.

◉ ANY TEAM MEMBER
03
Engineer reviews the diff

A clean line-by-line diff. Old version in red. New version in green. The engineer sees exactly what changed, approves if it's correct, rejects with a note if it's not.

◈ ENGINEER APPROVES
04
Approved content goes live in 10 seconds

The serve endpoint returns the approved content on the next call. No application redeploy. The audit trail is written. The version is snapshotted for rollback.

✓ LIVE · AUDITED · ROLLBACKABLE
// THE_REVIEW_INTERFACE

The engineer sees
exactly what changed.

Not a wall of text. A precise, line-by-line diff. Old content in red. New content in green. The engineer knows the full scope of what they're approving — and can reject with a written note if anything is off-brand, incorrect, or unsafe.

assistant.persona — proposed change · product team · 6 min ago
+1 line -1 line
1 You are an AI assistant for {{product_name}}.
2−Respond in a formal, structured tone. Use complete sentences.
2+Be direct and human. Skip the formality. Get to the point.
3 Always cite sources when making factual claims.
// CHANGE REQUEST proposed 6 min ago · no code touched

"Data shows users are dropping off after the first response. The formal tone is creating friction. This makes it feel like a tool, not a wall. Easy to roll back if it moves the wrong metric."

// PLATFORM_ARCHITECTURE

The full governance
stack for AI behavior.

Not just an editor. A controlled change pipeline — with history, diff review, quality scoring, and an audit trail that compliance teams actually accept. Every layer of the governance stack, shipped.

// 01
⑂
The Approval Workflow

The core of the system. Non-engineers propose changes in plain text. Engineers see the full diff before approving — old content vs new, line by line. Reject with a note, or approve and it's live in 10 seconds. Nothing reaches production without an explicit human decision.

proposed_by: hello@promptmatrix.io
status: PENDING_REVIEW
diff: -1 line / +1 line
→ engineer approves
status: LIVE · deployed in 9s · trail written
◈ ENG — holds the gate ◉ PM — proposes freely $ EXEC — full visibility
GOVERNANCE · DIFF VIEW · 10s APPROVAL
// 02
◎
The Serve Endpoint

Your application calls /pm/serve/key at runtime. It always returns the current approved version. When a change is approved, the next call returns the updated content. No application redeploy, ever.

LIVE API · RUNTIME FETCH · SDK SUPPORT
// 03
◧
Version History + Rollback

Every approved change creates an immutable snapshot. Full history of what was live and when. 1-click rollback to any previous version in under 10 seconds. No incident call. No engineer on-call required.

SNAPSHOTS · HISTORY · 10s ROLLBACK
// 04
◈
The Prompt Registry

Every prompt your system uses, in one place. Live content, current status, last change, who approved it, what version it's on. The single source of truth — visible to engineers, product, and leadership alike.

REGISTRY · STATUS · SINGLE SOURCE
// 05
📋
Compliance-Grade Audit Trail

Immutable log of every event: who proposed, who approved, previous content, new content, exact timestamps. Export-ready for compliance review, enterprise contracts, and legal discovery. Not a Git log — a real audit trail.

AUDIT LOG · COMPLIANCE · CSV EXPORT
// ALTERNATIVES_ANALYSIS

You've tried the
workarounds. Here's why they break.

Every team reaches for the obvious shortcuts first. Each one has a structural failure. Here's what each actually costs — and what PromptMatrix does instead.

APPROACH STRUCTURAL FAILURE NON-ENG EDIT APPROVAL GATE AUDIT LOG
Hardcoded in source Every change is a PR and a deploy. Non-engineers are permanently locked out. No change history outside of git blame. ✗ ✗ ✗
Env variables / config files Still requires a deploy to change. No diff view. No approval gate. Who actually edits env vars on your team? Not the product manager. ✗ ✗ ✗
Notion / Google Doc Disconnected from the application. The doc drifts from production immediately. No enforcement, no history that maps to what actually ran. ~ ✗ ✗
LaunchDarkly / feature flags Designed for boolean feature flags, not prose text governance. No diff view for language. No non-engineer editing workflow. Expensive for what you actually get. ~ ✗ ~
LangSmith / LangFuse Observability and tracing tools — they watch what's happening, not govern what happens next. Still no approval gate. Still no safe editing path for non-engineers. ~ ✗ ~
PromptMatrix Built exactly for this problem: non-engineers edit safely, engineers review and approve, everything is logged immutably, live in 10 seconds. ✓ ✓ ✓

~ = partial or limited · ✗ = not supported · ✓ = built for this

// COMMUNITY_GOVERNANCE

100% Open Source.
Strictly Local.

PromptMatrix is a community-first protocol. Download, self-host, and govern your AI systems with total autonomy.

// COMMUNITY / SELF-HOST
$0/life
MIT LICENSED · LOCAL-FIRST SQLite

The full governance protocol for local-first engineers. Fully open source, transparent, and community-driven. Run it on your iron, keep your data, own your logic.

  • ✔ Full repository & source access
  • ✔ Local-first SQLite registry
  • ✔ Unlimited seat count (Self-hosted)
  • ✔ Rule-based evaluation engine
  • ✔ AES-256-GCM Cryptographic security
  • ✔ Docker, Start-scripts, and CLI tools
  • ✔ 100% Privacy & Data Sovereignty
★ CLONE ON GITHUB →
// THE LOCAL-FIRST MANIFESTO
100%
Open Source. MIT Licensed. No proprietary hooks.
SEC
On-Prem Security. Your keys, your database, your iron.
∞
Free for teams, startups, and enterprises locally.
// PRICING_ARCHITECTURE

Five tiers. One protocol.
Built to scale with you.

Starter and Pro are live now — subscribe monthly. The Founder tier is hardcapped at 100 orgs with lifetime access, no subscription ever. Scale and Enterprise are on waitlist. Self-host forever free with the MIT-licensed OSS version.

// PLAN_01 · STARTER
Starter
LIVE NOW
$29 /month

Solo developers and small teams who need managed cloud prompt governance without ops overhead.

  • ✓ 100 prompts on cloud
  • ✓ 3 seats
  • ✓ 60 RPM serve API
  • ✓ Approval workflow + audit log
  • – LLM-as-a-judge evals
LOADING.
// PLAN_02 · FOUNDING_MEMBER
Founder
LIVE NOW
$499 one-time
Lifetime access — no subscription, ever
SPOTS CLAIMED loading...

Everything in Starter — plus fully managed cloud with LLM evaluation gating, priority support, and a permanent spot in our founding cohort. Pay once. Own it forever.

  • ✓ Everything in Starter
  • ✓ 500 prompts on managed cloud
  • ✓ 5 team seats with RBAC
  • ✓ 100 RPM serve throughput
  • ✓ LLM-as-a-judge evaluation engine
  • ✓ Priority support
  • ★ Name in FOUNDERS.md forever
  • ★ Direct input on roadmap

Step 1: Create workspace · Step 2: Payment activates cloud access

// PLAN_03 · PRO
Pro
LIVE NOW
$79 /month

Growing AI teams shipping multiple products who need multi-seat governance and LLM-powered quality gates.

  • ✓ 400 prompts on cloud
  • ✓ 5 seats with RBAC
  • ✓ 200 RPM serve API
  • ✓ LLM-as-a-judge evals
  • ✓ Approval workflow + audit log
// PLAN_04 · SCALE
Scale
WAITLIST
$199 /month

AI-first companies with multiple model pipelines needing production-grade governance at real scale.

  • ✓ 1,000 prompts on cloud
  • ✓ 10 seats with RBAC
  • ✓ 500 RPM serve API
  • ✓ Full LLM eval gating
  • ✓ Priority support + SLA
// PLAN_05 · ENTERPRISE
Enterprise
CONTACT US
Custom pricing

For teams needing custom seat counts, SLAs, SSO/SAML, dedicated infrastructure, or compliance contracts.

  • ✓ Everything in Scale
  • ✓ 5,000+ prompts + unlimited seats
  • ✓ Dedicated infrastructure
  • ✓ SSO / SAML
  • ✓ SLA + compliance contracts
CONTACT US →
∞
LIFETIME ACCESS
Founder pays once. Uses forever. No renewal, no price hike.
100
HARDCAPPED ORGS
When the last Founder org is claimed, that tier closes permanently.
MIT
OPEN SOURCE ALWAYS
The OSS core is free and public forever. No lock-in, ever.
// FAQ_SECTION

Frequently Asked Questions.
Got answers.

VIEW DOCUMENTATION →

An Agent Behavior Registry is a centralized, version-controlled repository for managing prompts, personas, and tool schemas outside of your codebase. PromptMatrix serves these configurations dynamically to your agents at runtime, preventing configuration drift.

By pulling configurations via the <5ms PromptMatrix serve endpoint instead of hardcoding them, agents fetch their prompt behavior at each task invocation. Changing a prompt in PromptMatrix immediately updates all subsequent agent cycles without restarting the swarm.

PromptMatrix is framework-agnostic. It works out-of-the-box with any LLM orchestrator or swarm system, including OpenClaw, LangGraph, and CrewAI.

Yes. The Community Edition is 100% open-source and MIT-licensed. You can run it locally or deploy it to your own server using Docker with SQLite, Postgres, or MySQL.