socra vs Scribe

socra stores organizational knowledge where people and AI agents can both reach it before they act on production systems. The homepage pitches an AI platform for work and knowledge, built so judgment about constraints, trade-offs, and reasons survives past chat threads and employee turnover.

Most agent stacks let models touch production systems without the context that made your codebase specific. socra Cortex authors that context as a dependency graph: each module declares what must be understood first, and flashing a subject returns the full tree in topological order. Issues in Workspace name their modules, close only when verification passes, and stay hidden until dependency issues finish, so work pulls through a supply chain instead of ad hoc prompts.

Beyond Cortex, socra ships Journeys for problem solving with prior context retained, Fab for running open issues as a human-gated production line, and Socra Cloud for isolated projects with dedicated namespaces. Workspace and Cloud share one account, so people and agents carry the same credentials across knowledge authoring and deployment. Agents connect through MCP and the CLI to flash modules before coding.

Engineering teams and agent operators use socra for productivity when they want institutional standards compiled into agent context instead of re-explaining rules in every session. The company lists Dallas headquarters contact paths via [email protected] and a self-serve get started flow through Cortex and the admin console.

Scribe captures how work actually gets done and turns it into step-by-step guides your team and AI agents can follow. It records workflows as people perform them in the browser, desktop, or mobile apps, then generates documentation without manual screenshots or write-ups. Teams use it for SOPs, training, onboarding, and feeding workflow context to AI tools.

Where most documentation tools expect you to write guides from memory or schedule walkthroughs, Scribe watches real workflows and documents them automatically. Capture surfaces the processes teams run most often and turns them into shareable guides, while Optimize maps inefficiencies across approved apps and recommends where to automate or invest in AI.

Operations, IT, HR, and enablement teams rely on Scribe to share tribal knowledge before someone goes on PTO. Companies rolling out new software or building AI agent roadmaps use it to give bots accurate workflow context through MCP and enterprise search APIs.