Store and retrieve project-specific context in a local JSON file.
npx skills add https://github.com/Dragoon0x/dragoon-skills --skill memory-dragoon0x
Please help me install this Agent Skill. Skill: memory Source: https://github.com/Dragoon0x/dragoon-skills/tree/main/skills/memory Command: npx skills add https://github.com/Dragoon0x/dragoon-skills --skill memory-dragoon0x
AI coding agents lose project-specific context between sessions, forcing teams to repeatedly re-explain code conventions, past decisions, and common gotchas, which slows down development and introduces inconsistencies.
Use the memory skill to save the project's rule that all new components must use the existing spacing scale instead of custom margin values for the agent to reference in future work.
High-intent search queries and answers about installing and using this skill.
Persistent project context is maintained by saving codebase facts and conventions to a local key-value store that loads automatically in future AI coding agent sessions.
Storing codebase conventions in a local persistent key-value file ensures AI agents reference team rules and architectural decisions automatically without repeated prompting in future sessions.
Saving architectural decisions and gotchas is done via CRUD operations that write plain text facts to a local project memory file, retaining them for consistent agent behavior.
Local key-value storage for project memory requires no external dependencies, safely managing plain text project facts using built-in scripts with constrained CRUD operations.
Limitations of local JSON file coding agent memory include enforced key format validation, strict value size limits, and required confirmation flags for destructive clear or remove actions.
Coding agent persistent memory works with safety flags by enforcing confirmation requirements for destructive actions like clear and remove, ensuring safe management of stored project facts.
winsorllcStore, recall, and forget key-value memories across sessions using JSON.
DatTran26Generate concise journal entries analyzing recent changes and session reflections for software projects.
arunrlvermaStore and retrieve AI agent facts, decisions, and preferences in a cloud JSON file.
sigridjinethSummarize older conversation turns and extract persistent facts to reduce token usage.
