by k-kolomeitsev · Codex Skill · ★ 53
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[]() []() []() 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 . It gives agents a persistent, versionable map of your codebase — entities, dependencies, public APIs, and the reasons behind every connection — so they can pick up exactly where they left off. DSP is not another workflow framework. It's the persistent structural memory layer that's missing from every AI coding workflow. Install macOS / Linux: bash curl -fsSL https://
| Stars | 53 |
| Forks | 4 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 56.744/100 |
| Last Updated | 2026-06-20 |
| Created | 2026-02-20 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~16k |
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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 53 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 53 stars and 4 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.
The top alternatives to data-structure-protocol on Agent Skills Hub include agent-skills, cortex-tms, obsidian-plugin-skill. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.