k-kolomeitsev/data-structure-protocol
Graph-based memory layer that lets AI agents retain codebase structure across sessions.
View on GitHub Updated 2026-06-16
What is k-kolomeitsev/data-structure-protocol?
Data Structure Protocol supplies a lightweight, version-controlled graph that records every code entity and the reasons for its connections. The graph lives in plain-text files that integrate directly with Git, so structure travels with the repository and stays available to any supported agent.
As developers edit code, the DSP CLI updates the graph with new objects, functions, imports, and explanatory notes. Agents then traverse these edges to locate relevant code, understand couplings, and avoid re-exploring the entire project on every session.
It targets teams using Claude Code, Cursor, or Codex on medium-to-large codebases who want agents to maintain context without constant re-indexing or platform lock-in.
What you can build with k-kolomeitsev/data-structure-protocol
Faster onboarding for new tasks
Agents load the existing graph instead of walking the full directory tree, cutting initial orientation time from minutes to seconds.
Safer refactoring on large projects
Before changing a module, the agent can traverse dependency edges to list every downstream caller and surface hidden couplings.
Shared memory across team members
Because the graph is stored in versioned files, every developer and every agent instance works from the same structural map.
Install k-kolomeitsev/data-structure-protocol
Install
curl -fsSL https://raw.githubusercontent.com/k-kolomeitsev/data-structure-protocol/main/install.sh | bashQuick start
curl -fsSL https://raw.githubusercontent.com/k-kolomeitsev/data-structure-protocol/main/install.sh | bash- 1Run the provided curl or PowerShell command to install the CLI.
- 2Execute python dsp-cli.py --root . init inside your project.
- 3Create root objects with create-object and attach functions or imports.
- 4Add explanatory notes to each edge so agents understand intent.
- 5Commit the .dsp folder so the graph persists for all future sessions.
k-kolomeitsev/data-structure-protocol: pros & cons
Pros
- +Graph lives in plain text and diffs cleanly in Git.
- +Works with multiple agents without platform lock-in.
- +Reduces repeated full-repo scans on every new task.
- +Makes dependency impact visible before edits occur.
Cons
- –Initial graph creation on large projects requires time and tokens.
- –Requires ongoing discipline to keep the graph updated as code changes.
- –Adds a new folder and CLI step to the workflow.
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Frequently asked questions
No, it acts only as an additional memory layer that any supported agent can read.
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