Democratizing software development through dynamic, intent-driven platforms that evolve with their users
A self-evolving AI platform where the conversational AI orchestrates all services, users can directly interact with the same services, the platform uses itself to build itself, and everything is transparent, customizable, and self-improving.
Fluid software provides composable building blocks that users and AI can orchestrate together—files, databases, workflows, automations—creating emergent capabilities through intelligent coordination.
Rather than generating code from scratch, Awareness provides powerful managers for files, data stores, workflows, and UI components. The AI orchestrates these real systems through natural language, enabling collaboration where users and AI share the same tools and capabilities.
Upload, version, search, and organize files in MinIO. AI can read, analyze, and extract insights from your actual documents—not simulated data.
Connect PostgreSQL, Neo4j, or document stores. AI translates natural language to SQL, queries your data, and helps you explore connections.
Create multi-step workflows with conditions, loops, and human-in-the-loop approvals. AI can trigger, monitor, and adapt workflows based on context.
Spaces provide multi-tenant isolation. Share files, data, and workflows with team members. AI agents respect the same permissions users have.
Connect external services (Google, Slack, GitHub) via OAuth. AI can use these connections to fetch data, send messages, or trigger actions.
Emergence is when simple components, following simple rules, produce surprisingly complex and intelligent behavior through their interactions. In Awareness, emergence happens when AI agents coordinate across files, databases, workflows, and memory—creating solutions neither the user nor system designer explicitly programmed.
User asks: "Analyze customer feedback and update our roadmap"
→ AI coordinates:
Emergent result: An end-to-end analytics pipeline the system wasn't explicitly programmed to perform, created by intelligently coordinating simple components.
Powerful, reusable managers for files, databases, workflows, and UI components. Both users and AI orchestrate these real systems through shared interfaces.
Anything the user can do, the LLM can do (and vice versa). Both have equal capability to create and modify systems through the same interfaces.
Full control, no vendor lock-in, privacy by design. Empowering users with complete ownership of their platform and data.
Built for the community, owned by the community. Democratizing software creation beyond traditional proprietary platforms.
Users can see and modify how the system works. Complete visibility into platform logic and decision-making processes.
Natural language request: 'Find all invoices from last quarter and summarize spending by category'
Agent decides: search files for invoices → extract data → query database → group by category → summarize
File Manager searches MinIO → Data Store runs SQL → Memory stores context → Results aggregate
System remembers: user prefers quarterly summaries, invoice location patterns, spending categories
Next time: AI proactively suggests 'Want your Q2 spending summary?' before user asks
Awareness provides production-ready managers for real-world systems. These aren't simulations or abstractions—they're working with actual files, databases, and services.
Upload contracts → AI finds clauses → Summarize terms → Store insights in memory
Connect your database → Ask 'Show me churned customers' → AI generates SQL → Returns results
Define multi-step process → AI monitors execution → Trigger on conditions → Human approves critical steps
Connect Slack → AI monitors channels → Summarizes threads → Posts updates with your credentials
Awareness is currently a powerful framework with production-grade backend systems. The managers above are fully functional and tested. What's evolving is the frontend integration—making these capabilities easily accessible through intuitive UIs and seamless AI orchestration.
Think of it as having a professional chef's kitchen (all the tools work perfectly) but still designing the dining experience. The infrastructure is solid; the interface is maturing.
Awareness aims to make software development accessible to everyone, not just professional developers.
Natural language commands that coordinate files, databases, and workflows
Traditional UIs for file uploads, database connections, workflow configuration
Key Insight: The AI uses the same File Manager, Data Store adapters, and Workflow Engine that users configure. When you upload a file, the AI can read it. When you connect a database, the AI can query it. When you create a workflow, the AI can trigger it. This creates true parity—same tools, same permissions, same capabilities.