Quiver est un système de marketing développeur agentique destiné aux fondateurs techniques, aux équipes de marketing développeur et aux agents qu’ils utilisent. Il réunit le contexte produit approuvé, les études clients, les campagnes, les contenus, les états de publication, les tâches et les résultats dans un workflow versionné.
Quiver is an agentic developer marketing system designed for technical founders, developer marketing teams, and agents working alongside them. It provides a shared operating layer for product context, customer evidence, marketing work, published content, and measured results.
Instead of leaving positioning in one document, research in another tool, and content history in chat conversations, Quiver connects those records through version history, explicit production states, campaign relationships, APIs, and feedback loops. People approve context changes and content transitions, while agents operate within the same controlled system.
Store product details, audience information, positioning, customer language, proof points, and hypotheses in an active context. Changes can be reviewed, inspected, and restored rather than silently replacing prior knowledge.
Use Strategy, Create, Feedback, Analyze, and Optimize sessions, or connect an external agent through MCP. Sessions begin from the active approved context and write work back into the system.
Move work through Draft, Review, Approved, Live, and Archived states. This separates generated output from approved knowledge and published content.
Process calls, surveys, reviews, and field notes into themes, Voice of Customer quotes, product signals, and evidence for or against active hypotheses.
Manage content versions, SEO and social metadata, repurposing lineage, distribution records, and content metrics. The Content API serves approved content as structured JSON for websites and other presentation layers.
Link research, sessions, artifacts, content, tasks, and outcomes to campaigns. After work goes live, record quantitative results and qualitative notes, then review proposed context updates before they influence future work.
A technical founder can paste a website or describe a product to generate an initial context, review its assumptions, connect a model provider, and begin operating from an approved foundation instead of a blank chat.
A marketing team can connect strategy sessions, research, campaigns, artifacts, content, tasks, and results to the initiatives they support. Hosted workspaces add invitations, shared access, assignments, due dates, and reminders.
Teams that want their website to control presentation can keep content and its approval history in Quiver, then use the Content API to deliver approved content as JSON.
Teams can synthesize calls, surveys, reviews, and field notes into reusable customer language, themes, and product signals, then make that evidence available to later marketing sessions.
After content or other work goes live, teams can record performance and qualitative observations, connect those results to the originating campaign, and review proposed changes to the active context.
Quiver is intended for technical founders, developer marketing teams, and agents supporting developer marketing operations.
Create a workspace, connect an Anthropic, OpenAI, Google, OpenRouter, or other OpenAI-compatible model account, and paste a website or describe the product. Quiver drafts initial context for review before you rely on it.
Context and artifacts retain version history and explicit states. Agents can propose changes, but a person reviews and approves what becomes active context or progresses from draft to live.
No. Quiver provides the context and decision layer around those systems. Its Content API, MCP interface, and publishing workflows preserve related reasoning, approvals, and learning.
Yes. The self-hosted edition is MIT licensed and runs on the customer’s infrastructure, where the customer is responsible for the app, database, deployment, and model account. Hosted plans provide managed infrastructure and shared workspace features.
Les données de trafic sont fournies à titre indicatif uniquement.
relaticle.com
Relaticle est un CRM open source pour les équipes qui réunit des fiches partagées, la gestion du pipeline et des tâches, un chat IA intégré et un serveur MCP doté de 39 outils. Les équipes peuvent utiliser l’espace de travail hébergé ou auto-héberger l’application AGPL-3.0 et connecter des agents IA externes via MCP et l’API REST.
www.entropik.io
Decode AI Creative Insights est une plateforme de test créatif et publicitaire assistée par l’IA pour les équipes marketing, recherche et produit. Elle analyse l’attention, la réaction émotionnelle, le point focal visuel, la clarté du message, la mémorisation et l’intention d’achat afin d’améliorer les publicités avant leur lancement.
publora.com
Publora est une plateforme de publication sur les réseaux sociaux pour développeurs, agents IA, agences et équipes, avec API REST, serveur MCP et tableau de bord pour planifier et diffuser des posts sur plusieurs réseaux.
www.openscience.sh
OpenScience est un atelier IA open source pour la recherche scientifique. Il réunit recherche bibliographique, bases scientifiques, code, expériences, calcul et résultats dans un espace, avec prise en charge de modèles inclus, clés externes, abonnements et modèles locaux.
www.cadenya.com
Cadenya est un environnement d’exécution d’agents destiné aux développeurs qui créent, testent et améliorent des agents IA à partir d’API existantes. Il réunit outils, modèles, objectifs, webhooks, retours et widgets intégrables sur une seule plateforme.
