Remember Codebase

SkillDev tools

Create a persistent inventory of your codebase — repos, architecture decisions, dependencies, and team context — with Neotoma MCP integration.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Remember Codebase skill

What this skill tells your AI

The instructions your AI receives, as published by markmhendrickson/neotoma in skills/remember-codebase/SKILL.md and read by ahel’s review.

Build a persistent inventory of your development context — repositories, architecture decisions, key dependencies, and team knowledge — in Neotoma memory.

When to use

When a developer wants their agent to persistently understand their codebase context across sessions, without re-prompting project structure, conventions, or architectural decisions each time.

Prerequisites

Run the ensure-neotoma skill first if Neotoma is not yet installed or configured in your current harness.

Workflow

Phase 0: Verify Neotoma

Confirm Neotoma MCP is connected (call get_session_identity).

Phase 1: Inventory the current repo

  1. Read project metadata:
    • package.json / pyproject.toml / Cargo.toml (name, version, dependencies)
    • README.md (project description, purpose)
    • Git remote URL and branch structure
  2. Scan for architectural signals:
    • Directory structure (src/, lib/, test/, docs/)
    • Configuration files (.env.example, docker-compose.yml, CI configs)
    • Framework and language markers
  3. Present the inventory: project name, language, framework, key directories, dependency count.
  4. Ask the user to confirm and add any context the scan missed.

Phase 2: Extract entities

  1. Repository: create a repository entity with name, remote URL, language, framework, description.
  2. Architectural decisions: if the repo has ADR files (docs/adr/) or architecture docs, extract each as a decision entity.
  3. Dependencies: create entities for key dependencies that the user wants to track (not all — ask which matter).
  4. Team context: if the user provides team member info, store as contact entities linked to the repo.
  5. Conventions: if the repo has coding conventions docs, extract key rules as note entities.

Phase 3: Store with provenance

Store the repository entity and related entities with provenance:

  • Set source_file for file-derived entities (README, package.json, ADR files).
  • Use the combined store path for any files worth preserving as source.
  • Link all entities to the repository entity via REFERS_TO.

Phase 4: Wire MCP for ongoing context

Guide the user to configure Neotoma MCP in the project so it is automatically available when working in this repo:

  • The neotoma setup command handles this, but verify the project-level MCP config exists.
  • Suggest adding the repo entity ID to project-level agent instructions for cross-session continuity.

Phase 5: Report results

Summarize:

  • Repository entity created with key metadata
  • Entities extracted (decisions, conventions, dependencies)
  • MCP configuration status
  • Suggest: "Next time you open this project, your agent will know its architecture, conventions, and team context."

Do not

  • Store raw file contents (source code) as entity fields — store files via the combined store path when preservation is needed.
  • Create entities for every dependency — focus on the ones the user cares about.
  • Modify project code or configs without user approval.

Signals

GitHub stars
32
Forks
3
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
remember-codebase
Source
github.com/markmhendrickson/neotoma