3Square
3Square provides an open-standard system that captures decision intent and rationale as a byproduct of existing workflows, turning them into consultable directives that evolve with the work. The platform runs locally on plain files, requires no account, and works offline, giving teams full data sovereignty without reliance on central services. It is positioned as free and open-source with a design-partner program for early collaboration.
- Developer Tools
- Enterprise Software
- Artificial Intelligence
- AI Agents
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Teams and organizations make countless decisions daily, but the reasoning and intent behind those decisions are rarely captured systematically. As AI agents take on more decision-making, the gap between what matters and what is explicitly stated widens—leading to misalignment, invisible technical risk accumulation, and costly mistakes that surface only when major issues arise.
Solution
3Square provides an open-standard system that captures decision intent and rationale as a byproduct of existing workflows, turning them into consultable directives that evolve with the work. It encodes decisions with their reasoning, making intent explicit and aligning both human teams and AI agents on shared direction. The platform runs locally on plain files, requires no account, and works offline, giving teams full data sovereignty without reliance on central services. Agents can consult current intent, propose compromises, and trace decisions to outcomes, enabling confidence through evidence-based delegation. As new decisions are made, intent updates deliberately, ensuring direction stays current with the work.
Target Audience
Primary users are engineering teams and AI-agent operators who need to keep autonomous decision-making aligned with organizational intent, particularly in complex software and product development environments.
Features
- Open-standard format for encoding decisions with explicit reasoning and rationale
- Agent-led capture that records intent as a byproduct of normal workflows, eliminating separate documentation overhead
- Local-first architecture using plain files with no account required and full offline functionality
- Versioned directives that evolve as new decisions are made, preserving history and changes over time
- Cross-tool compatibility via a shared language for intent, allowing agents and tools to consult and contribute decisions consistently
- No central service dependency, ensuring sovereign, privacy-preserving operation