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Turn Markdown folders into persistent searchable memory for AI coding agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Stoa" yet — see the docs or source repo.
Use the Markdown files under docs/notes in this repo as persistent memory. First retrieve past decisions related to the authentication module refactor, then summarize the constraints, unfinished tasks, and key files I must know before continuing development.
A summary of historical records for the authentication module, including decision context, open tasks, key file paths, and recommended next steps.
Search the shared memory for notes about last week's API performance investigation. Organize the observed symptoms, validated conclusions, unverified hypotheses, and the diagnostic commands I should run next.
A handoff-ready investigation brief that helps resume analysis quickly in a new environment.
Based on all Markdown records related to the payment system in memory, extract architecture conventions, common failures, and deployment cautions, then generate a project memory summary for an AI coding agent.
A structured project memory summary that an AI agent can reuse for future coding, troubleshooting, and deployment.
Provides local persistent memory for coding agents with low-cost context retrieval.
Persist coding agent memory for reusable decisions, fixes, and cross-session search.
Give AI coding agents persistent cross-session memory for project knowledge.
Give AI coding agents persistent local shared memory across agents.
Give AI coding agents searchable local project memory with safe structured updates.
Provide Git-native project memory for AI coding agents with safe, reviewable context.