Source of truth
Product context
Keep positioning, ICP, messaging, customer language, proof points and hypotheses in one active context that every agent can use.
Agentic developer marketing system
Finally, marketing that makes sense to engineers.
Quiver gives developer marketing the architecture engineers expect: a source of truth, version history, explicit states, APIs, observability and feedback loops. Everything you learn, create, ship and measure stays connected—so each cycle improves the context and decisions behind the next, without changing the system behind your back.
Hosted from $49/month. Free to self-host. Bring your own model account.
The problem is not your brain
Marketing is usually handed to technical founders as vibes and disconnected tactics.
Another chat has the positioning. A document has the plan. Customer evidence is somewhere else. Content loses its history when it ships. Performance gets reported, then disappears before the next decision.
Quiver gives the whole operation state, structure and memory—so people and agents can work inside the same controlled system.
Because “just post more” is not an architecture.
The architecture
The primitives you already trust—applied to developer marketing.
Not a metaphor painted over a chatbot. These are the operating properties of the product.
Version control
Decisions with history
Every context and artifact change is versioned and restorable. Agents can propose updates; you decide what becomes true.
State machines
Real production workflow
Move work through Draft → Review → Approved → Live → Archived instead of losing finished work inside chat history.
Interfaces
Content API + MCP
Publish approved content as structured JSON and let the agents you already use operate Quiver through a real tool surface.
Observability
Work tied to outcomes
Keep the plan, research, content, tasks and performance connected so you can trace what shipped and what happened next.
Feedback loops
A system that improves
Log the outcome, capture what worked and review proposed context changes before that learning shapes the next cycle.
The runtime
The system gets better because the work stays connected.
Quiver does not train a mystery model on your company. It preserves the evidence, decisions, shipped work and results that should inform what happens next—and keeps you in control of what becomes part of the system.
01
Give the system context
Start with the product, audience, positioning, customer language, proof and hypotheses—not a blank chat window.
02
Operate the work
Research, sessions, artifacts, content and tasks stay connected to the initiative they are meant to move forward.
03
Ship through explicit states
Review what agents create, approve what is true and publish finished work without collapsing generation and production into one step.
04
Feed results back in
Measure the outcome, preserve the learning and improve the context and decisions behind the next cycle—with human approval.
Proof, not feature soup
Built to operate the work—not just generate more of it.
For your agents
Operators, not chat tabs.
Quiver gives agents durable context, operational state and tools. Use purpose-built Strategy, Create, Feedback, Analyze and Optimize sessions—or connect an external agent through MCP. Either way, the work lands in the system instead of disappearing with the conversation.
For your content
Infrastructure, not a text box.
Content keeps its versions, publish state, SEO and social metadata, distribution history, repurposing lineage and metrics. The Content API serves approved work as structured JSON, so Quiver can remain the source of truth while your site owns presentation.
For your customer evidence
Research that changes the system.
Turn calls, surveys, reviews and field notes into themes, Voice of Customer quotes, product signals and evidence for or against active hypotheses. Feature the language that matters, then make it available to the agents doing the next piece of work.
For your results
A loop that actually closes.
When work goes live, Quiver creates the reminder to measure it. Log quantitative results and qualitative notes, synthesize what worked and review proposed context updates before they affect future sessions.
Bootstrap
Initialize the system. Keep the judgment.
Quiver helps establish the structure quickly. You still decide what the company believes, what deserves to ship and what the results mean.
01
Initialize the context
Paste your website or describe the product. Quiver drafts the starting context; you review the assumptions and make it yours.
02
Connect your model
Bring Anthropic, OpenAI, Google, OpenRouter or any OpenAI-compatible account. Choose the model that fits each job.
03
Start operating
Open a session, connect an MCP client or begin with research. Every action starts from the same approved context and writes back to the same system.
Read the interface
The questions that actually matter.
What is Quiver?
Quiver is an agentic developer marketing system. It gives technical founders, teams and their agents the architecture to run marketing with shared context, version history, explicit states, interfaces, observability and feedback loops.
Does Quiver do the marketing for me?
No. Quiver does not replace product judgment, customer understanding or a point of view. It gives people and agents one controlled system for turning those inputs into work, shipping that work and learning from the result.
What makes Quiver agentic?
Agents can operate the system, not merely answer prompts. Through Quiver sessions or MCP, they can work with approved context, create artifacts and content, manage campaigns and tasks, process research, log performance and propose what the system should learn next.
What is the Content API?
The Content API exposes published content and its SEO and social metadata as structured JSON. Quiver stays the editorial source of truth while any website or frontend controls how the content is rendered.
How does the feedback loop work?
Shipped work creates a reminder to log results. Quiver stores metrics and qualitative notes, synthesizes the outcome and can propose context changes. Nothing silently rewrites the system: a person approves what carries forward.
Which models can Quiver use?
Bring an Anthropic, OpenAI, Google, OpenRouter or OpenAI-compatible account and choose models by job. Your provider account determines model cost and the policy governing model usage. Quiver is available hosted or self-hosted.
Deployment choice
Your system. Pick who runs it.
Self-host the MIT-licensed foundation for free, or let us run the complete hosted system for you—including built-in tasks. Founder and Team differ only by seats. 14-day trial, card required, cancel any time.
You host it
Open Source
The self-hosted foundation for technical founders and startups comfortable owning the stack.
$0forever
Unlimited seats · your infrastructure
MIT licensed. You host the app and database, maintain the deployment and bring your own model account.
- Versioned product context with restore
- Strategy, Create, Feedback, Analyze and Optimize modes
- Versioned artifacts with approval and publish states
- Campaigns linking sessions, research, content and results
- Customer research synthesis and Voice of Customer library
- Hypothesis evidence tracking
- Content calendar, SEO/social metadata and repurposing
- Distribution records and content metric history
- Public Content API for approved content
- Performance synthesis and reviewed context proposals
- MCP server code· You deploy and expose it
- BYOK with per-job model selection
- Built-in tasks, assignments and reminders· Hosted only
- Ready-to-invite shared workspace· Hosted only
- Managed authentication, infrastructure and updates· Hosted only
We host it
Founder
A ready-to-use shared system for a technical founder and up to two teammates.
$49per month
Up to 3 seats
$490/year billed annually. Two months free.
- Versioned product context with restore
- Strategy, Create, Feedback, Analyze and Optimize modes
- Versioned artifacts with approval and publish states
- Campaigns linking sessions, research, content and results
- Customer research synthesis and Voice of Customer library
- Hypothesis evidence tracking
- Content calendar, SEO/social metadata and repurposing
- Distribution records and content metric history
- Public Content API for approved content
- Performance synthesis and reviewed context proposals
- Ready-to-connect MCP endpoint· OAuth or scoped tokens
- BYOK with per-job model selection
- Built-in tasks, assignments and reminders
- Ready-to-invite shared workspace
- Managed authentication, infrastructure and updates
We host it
Team
The expanding hosted team product with room for the whole company.
$99per month
Unlimited seats
$990/year billed annually. Two months free.
- Versioned product context with restore
- Strategy, Create, Feedback, Analyze and Optimize modes
- Versioned artifacts with approval and publish states
- Campaigns linking sessions, research, content and results
- Customer research synthesis and Voice of Customer library
- Hypothesis evidence tracking
- Content calendar, SEO/social metadata and repurposing
- Distribution records and content metric history
- Public Content API for approved content
- Performance synthesis and reviewed context proposals
- Ready-to-connect MCP endpoint· OAuth or scoped tokens
- BYOK with per-job model selection
- Built-in tasks, assignments and reminders
- Ready-to-invite shared workspace
- Managed authentication, infrastructure and updates
Stop rebuilding the context
Give your developer marketing operation a system of record.
Keep the context, work, decisions and learning connected—then let your team and your agents operate from the same approved system.