by k-kolomeitsev · Codex Skill · ★ 56
[]() []() []() Data Structure Protocol (DSP) The missing memory layer for AI-assisted development The problem Your agent re-reads the same codebase every session. DSP fixes that. Every time you start a new task, your AI coding agent spends the first 5–15 minutes "getting oriented" — scanning files, tracing imports, figuring out what depends on what. On large projects this becomes a constant tax on tokens and attention. Context is rebuilt from scratch, every single time. DSP is a graph-based long-term structural memory stored in .
| Stars | 56 |
| Forks | 5 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 70.9478033834501/100 |
| Last Updated | 2026-07-04 |
| Created | 2026-02-20 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~16k |
These tools work well together with data-structure-protocol for enhanced workflows:
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data-structure-protocol is Graph-based long-term memory skill for AI (LLM) coding agents — faster context, fewer tokens, safer refactors. It is categorized as a Codex Skill with 56 GitHub stars.
data-structure-protocol is primarily written in Python. It covers topics such as agent-skills, ai, calude.
You can find installation instructions and usage details in the data-structure-protocol GitHub repository at github.com/k-kolomeitsev/data-structure-protocol. The project has 56 stars and 5 forks, indicating an active community.
data-structure-protocol is released under the Apache-2.0 license, making it free to use and modify according to the license terms.