TaskGraph_TS — Current State Research Report

Date: 2026-04-23
Repository: git@git.alk.dev:alkdev/taskgraph_ts.git
Branch: main
Commit: 1517b54 ("inital setup")

1. File Structure

The repository is in an extremely early, freshly-initialized state. The entire non-git content consists of only two files:

/workspace/@alkdev/taskgraph_ts/
├── .git/                    # Git repository data
├── AGENTS.md                # Agent/instructions file (32 lines)
└── docs/
    └── research/
        └── .gitkeep         # Empty placeholder to keep directory in git

That is the complete file tree. There are no source files, no configuration files, no tests, no documentation beyond what is listed above.

2. Configuration Files

What exists

File	Status
`package.json`	Does not exist
`tsconfig.json`	Does not exist
`Cargo.toml`	Does not exist
`tslint.json` / `.eslintrc*`	Does not exist
`.prettierrc*`	Does not exist
`.gitignore`	Does not exist
`.editorconfig`	Does not exist
`README.md`	Does not exist
`LICENSE`	Does not exist
Any Makefile / build script	Does not exist

Summary

There are zero configuration files in the repository. No package manager is initialized. No TypeScript compiler configuration exists. No linters, formatters, or CI/CD pipelines have been set up. The project name taskgraph_ts implies a TypeScript project, but no package.json or tsconfig.json has been created yet.

3. Existing Code / Boilerplate

There is no source code in the repository. No src/ directory exists. No lib/, bin/, test/, or examples/ directories exist. No .ts, .js, .rs, or any other source files are present.

The only non-git file with actual content is AGENTS.md, which is a meta-tool instruction file (not project code). The only other file is docs/research/.gitkeep, which is an empty placeholder.

4. AGENTS.md File Contents

The AGENTS.md file is 32 lines long and contains instructions for AI agent memory/tool usage. Full content:

## Memory Tools

You have access to two tools for managing your context and accessing session history:

### memory({tool: "...", args: {...}})

Read-only tool for introspecting your session history and context state. Available operations:
- `memory({tool: "help"})` — full reference with examples
- `memory({tool: "summary"})` — quick counts of projects, sessions, messages, todos
- `memory({tool: "sessions"})` — list recent sessions (useful for finding past work)
- `memory({tool: "messages", args: {sessionId: "..."}})` — read a session's conversation
- `memory({tool: "search", args: {query: "..."}})` — search across all conversations
- `memory({tool: "compactions", args: {sessionId: "..."}})` — view compaction checkpoints
- `memory({tool: "context"})` — check your current context usage

### memory_compact()

Trigger compaction on the current session. This summarizes the conversation so far to free context space.

**When to use memory_compact:**
- When context is above 80% (check with `memory({tool: "context"})`)
- When you notice you're losing track of earlier conversation details
- At natural breakpoints in multi-step tasks (after completing a subtask, before starting a new one)
- When the system prompt shows a yellow/red/critical context warning
- Proactively, rather than waiting for automatic compaction at 92%

**When NOT to use memory_compact:**
- When context is below 50% (it wastes a compaction cycle)
- In the middle of a complex edit that you need immediate context for
- When the task is nearly complete (just finish the task instead)

Compaction preserves your most important context in a structured summary — you will continue the session with the summary as your starting point.

This file is not project-specific documentation — it is a shared instruction set for AI coding agents describing how to use memory introspection and compaction tools. It contains no information about the taskgraph_ts project's design, architecture, or goals.

5. Documentation and Design Notes

There is no project documentation in the repository. Key absences:

No README.md describing the project
No design documents or architecture notes
No ADRs (Architecture Decision Records)
No API specifications
No diagrams or schematics
The docs/research/ directory exists but contains only an empty .gitkeep file — it was created as a placeholder for future research documents (like this one)

6. Git History

Full Git Log

1517b54 inital setup

There is exactly one commit in the repository, authored on 2026-04-23:

Field	Value
Commit	`1517b5459e1d79388a96057d17a72ac53064a068`
Author	glm-5.1 glm-5.1@alk.dev
Date	Thu Apr 23 08:13:39 2026 +0000
Message	"inital setup" (note: typo — "inital" instead of "initial")

Files in that commit

File	Change
`AGENTS.md`	Added (32 lines)
`docs/research/.gitkeep`	Added (empty file)

Branches

Branch	Status
`main` (local)	Current branch, up to date with remote
`remotes/origin/main`	Remote tracking branch

Remote

origin  git@git.alk.dev:alkdev/taskgraph_ts.git (fetch)
origin  git@git.alk.dev:alkdev/taskgraph_ts.git (push)

Working tree status

Clean — no uncommitted changes, no untracked files.

Summary and Key Observations

This is a blank-slate project. The repository was just initialized with a single commit containing only an agent instructions file and an empty directory placeholder. No code, configuration, or documentation has been written yet.
The project name implies TypeScript. taskgraph_ts strongly suggests a TypeScript implementation of a "task graph" — likely a DAG (Directed Acyclic Graph) based task scheduling/execution system. However, no TypeScript tooling (package.json, tsconfig.json) has been set up.
No .gitignore exists. This should be created before adding any source files to avoid accidentally committing node_modules/, build artifacts, etc.
No README or design docs. There are no records of the project's purpose, scope, or intended architecture. Any future work will need to define these from scratch.
The docs/research/ directory was explicitly created as a placeholder, suggesting the project founders intended for research documentation to be generated — which is what this report fulfills.
Single author so far. The only commit was by glm-5.1@alk.dev, an AI agent, indicating the project was initialized programmatically.
Everything needs to be built from scratch: package initialization, TypeScript configuration, source code structure, testing framework, linting/formatting, CI/CD, documentation, and the actual task graph implementation itself.

6.9 KiB Raw Permalink Blame History