Launching October 20, 2026
Fileaify

Fileaify

Augment any AI agent with ONE URL. Give your AI agent lasting project knowledge, controlled access to your tools and environments, and a workspace to get things done. TRY THE LIVE DEMO — nothing to download, nothing to install.

FreeCodeDevOpsAI Agents1 impressionslaunches Oct 201 comment

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  • Stéphane Mermet[maker]· 57m ago

    Working with AI agents still means repeating context 😒, finding past decisions 😑, setting up access 🥱, and keeping documentation current 🫩. I built Fileaify to make that easier 🚀. Give your usual agent one URL. It can discover your project, follow its documentation rules, request controlled access to your environments, and work in a persistent workspace. You control permissions and publication. What excites me is how it all connects: your agent understands the project, acts with your approval, and leaves useful knowledge for the next conversation—even with another agent. Try the live demo: nothing to download or install. It’s your first day at a game studio. The team is away, but its game, roadmap, and known issues are waiting. Bring your agent, choose an improvement, and watch the game evolve. I’m here for questions and feedback. What would make your agent a better collaborator?

Fileaify turns the AI agent you already use into a collaborator that understands your project, works with your tools, and carries knowledge forward across conversations. Its distinctive strength is how much it brings together: persistent project knowledge, reusable documentation methods, a secure credential vault, human-controlled permissions, a persistent execution workspace, and reviewable contributions with a shared history. These capabilities work together. Your agent can discover the project’s architecture and priorities, request access to a service, use credentials without receiving their values, perform authorized work, and document the outcome for whoever comes next. You keep your familiar agent and working environment. A single URL gives it the starting point; Fileaify supplies the context and the rules, while you control access and publication. Start a fresh conversation (or switch to another compatible agent) and the project’s decisions, constraints, and progress remain available. The practical difference grows with use: less repeated explanation, fewer scattered instructions, less manual credential handling, and more continuity between people and agents. Once your project’s knowledge and access workflow live together, returning to disconnected conversations starts to feel cumbersome. Early feedback from agents using Fileaify has highlighted precisely these benefits: clear onboarding, explicit contribution rules, human oversight, and access without exposing secrets. It is a combination designed to make everyday collaboration easier, and increasingly difficult to do without.

Fileaify adds persistent project knowledge, secure credential access, and an execution sandbox to any existing AI agent via a single URL.

for
Developers and teams that use AI agents for code assistance and need shared context and controlled access.
pricing
freemium
works withClaudeCodeCodexCursorWindsurfany compatible agentMCP connector

Key features

6 features of Fileaify
  • Structured Project Knowledge — Agents can read and enrich architecture, decisions, roadmap and documentation that persist across conversations.
  • Credential Vault — Agents use services with credentials without ever seeing the secret values, managed via human-approved permissions.
  • Persistent Execution Sandbox — A hosted workspace where agents can run authorized actions and see real changes to the project.
  • Human-Controlled Permissions — All sensitive actions require explicit human approval before execution or publication.
  • Shared History & Reviewable Contributions — Every change is recorded with rationale, enabling traceability and easy hand-off between agents.
  • One-Click Integration — Connect any compatible agent (Claude, CodeCodex, Cursor, Windsurf, etc.) by providing a URL or using the optional MCP connector.

Use cases

  • Onboard a new AI agent to an existing codebase without re-explaining architecture.
  • Allow an agent to deploy to a cloud service using stored credentials while keeping secrets hidden.
  • Collaboratively edit project documentation and decisions with traceable approvals.
  • Run automated refactoring or testing steps in the persistent sandbox and review results.
  • Switch between different agents or tools while preserving project context.

Fileaify pricing

  • Free0 €/month1 active project · 5 services & secrets · 1 user · no executor
  • Solo4,90 €/month5 active projects · Unlimited services & secrets · Executor 1 h per 6 h window · 1 user
  • Pro14,90 €/month25 active projects · Unlimited services & secrets · 10 AI calls / 5 h · Executor up to 12 h/day
  • Premium39,90 €/monthUnlimited active projects · Unlimited services & secrets · 50 AI calls / 5 h · Executor always on

Fileaify vs alternatives

Fileaifyn8nLangChainLlamaIndexMastra
Best forPersistent AI-agent workspace with secure credentialsWorkflow automation with AILLM app development frameworkData indexing for LLM agentsTypeScript AI-agent framework
PricingFreemiumSubscriptionFreeFreeFree
DevHunt upvotes10000
LaunchedOct 2026————
  • Fileaify vs n8n: n8n provides workflow automation but lacks persistent AI-agent project knowledge and credential vault.
  • Fileaify vs LangChain: LangChain is a developer framework for building LLM apps, not a hosted workspace that adds secure credential handling.
  • Fileaify vs LlamaIndex: LlamaIndex focuses on indexing data for agents, whereas Fileaify offers a full sandbox and human-controlled permissions.
  • Fileaify vs Mastra: Mastra is a TypeScript framework for AI agents; Fileaify adds a hosted execution environment and shared project memory.

Fileaify FAQ

Do I need a different agent or editor?+

No, Fileaify works with the AI agent you already use; it only needs to read a URL or call an authenticated API.

Can agents use my credentials without seeing them?+

Yes, credentials are brokered on the service side after your approval, and exporting the secret value is disabled by default.

Do I have to approve every change?+

You choose a documentation policy; human review can be required for each change, while service access still needs its own permission.

What is simulated in the demo?+

The demo simulates a game repository, documents, access requests and approvals inside a temporary workspace, requiring no personal GitHub account or secrets.

Is there a plugin or server to configure?+

No plugin is required; you can connect via a simple URL or use the optional hosted MCP connector.

Summarized by DevHunt from fileaify.com · Oct 16, 2026. Details may change; check the official site.