# AI use cases for Heimdall (ArihantDeva/heimdall)

Repo: [ArihantDeva/heimdall](https://github.com/ArihantDeva/heimdall) | Use cases: 4 | Page: https://dedupedai.com/use-cases/arihantdeva-heimdall/

Heimdall is a local, CPU-first memory daemon that indexes the code and notes across your repositories so AI coding agents can search past work with verified, ranked results.

This file holds every use case of this repo. Each one starts with a "## " heading and ends with its URL.

- Find a solution you already built in another repo: https://dedupedai.com/use-cases/arihantdeva-heimdall/find-prior-solution-across-repos/
- Start agent sessions with relevant prior work already loaded: https://dedupedai.com/use-cases/arihantdeva-heimdall/brief-agent-with-prior-work-first-prompt/
- Reuse remembered code only when it is still verified: https://dedupedai.com/use-cases/arihantdeva-heimdall/act-only-on-verified-recall/
- Index private code on your own CPU with no token spend: https://dedupedai.com/use-cases/arihantdeva-heimdall/index-private-code-locally-no-llm/

## How to find a solution you already built in another repo with Heimdall

Repo: [ArihantDeva/heimdall](https://github.com/ArihantDeva/heimdall) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README

Run one ranked search across every project to see if you already solved the problem.

**Who it is for:** A developer with many side projects who is about to write code that may already exist in an older repository.

**The problem:** Searching for past work with grep, find and ls across many folders takes minutes and often points to the wrong repo.

**The outcome:** A ranked list of matching paths across all indexed projects, each with a verdict, so you can reuse the work or skip the rebuild.

### Steps

1. `npm i -g @arihantdeva/heimdall`
2. `heimdall init --harness claude-code`
3. `heimdall setup`
4. `heimdall doctor`
5. `heimdall search "<topic>"` (inferred, check the README)

### Prompt to paste into your agent

```text
Using the heimdall CLI from the ArihantDeva/heimdall repo, run `heimdall search "<topic>"` before writing new code for <topic>. Report each hit as a line with its verdict (STRONG, WEAK, REBUILT, STALE or REMOVED) and its path. Expected output is a ranked list of paths; check that each STRONG path exists on disk before reusing it.
```

### Caveat

The README says `npm i -g` builds the graft backend during install only when prerequisites are present, and the first build takes a few minutes, so search will not work until setup completes.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/arihantdeva-heimdall/find-prior-solution-across-repos/

## How to start agent sessions with relevant prior work already loaded with Heimdall

Repo: [ArihantDeva/heimdall](https://github.com/ArihantDeva/heimdall) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README

Inject past project context into a new agent session so it skips the orientation loop.

**Who it is for:** A developer who starts a fresh coding agent session on a project and wants it to know what was done before.

**The problem:** A new agent session spends dozens of shell commands re-reading files it already saw last week.

**The outcome:** The agent begins with relevant prior work in its first prompt and can answer with one kb_search call instead of many grep and ls commands.

### Steps

1. `npm i -g @arihantdeva/heimdall`
2. `heimdall init --harness claude-code`
3. `heimdall setup`
4. `heimdall doctor`
5. Open a new agent session in the project folder and ask it to call kb_search on <topic> before it starts editing

### Prompt to paste into your agent

```text
In the ArihantDeva/heimdall setup, start a session in <project-folder> and call kb_search on <topic> before any shell exploration. Expected output: a short list of prior work with verdicts and paths. Verify that the first useful action uses a STRONG hit or that the agent says a hit is WEAK.
```

### Caveat

The README names only some harnesses as wired by `heimdall init`, and the exact injection behavior for each harness is not described in detail, so test it in your own harness before relying on it.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/arihantdeva-heimdall/brief-agent-with-prior-work-first-prompt/

## How to reuse remembered code only when it is still verified with Heimdall

Repo: [ArihantDeva/heimdall](https://github.com/ArihantDeva/heimdall) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README

Check each hit's verdict so an agent acts on STRONG matches and skips stale paths.

**Who it is for:** An engineer who lets an agent reuse past code and needs to avoid acting on a moved or changed file.

**The problem:** Vector search returns plausible matches, and an agent that acts on a dead or changed path wastes time or breaks work.

**The outcome:** Each result carries a verdict, so an agent can reuse STRONG paths directly and treat WEAK, REBUILT, STALE or REMOVED paths with care.

### Steps

1. `npm i -g @arihantdeva/heimdall`
2. `heimdall setup`
3. `heimdall doctor`
4. `heimdall search "<topic>"` (inferred, check the README)
5. `heimdall verify --deep`

### Prompt to paste into your agent

```text
Use the heimdall CLI from ArihantDeva/heimdall to search for <topic>. Reuse only hits marked STRONG, and list WEAK or STALE hits separately with the printed reason. Expected output: a table of verdicts and paths. Verify each STRONG path with a file check before editing it.
```

### Caveat

The README states that a same-size rewrite that also restores mtime is invisible to a stat-based STRONG check, so `heimdall verify --deep` is needed for that case.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/arihantdeva-heimdall/act-only-on-verified-recall/

## How to index private code on your own CPU with no token spend with Heimdall

Repo: [ArihantDeva/heimdall](https://github.com/ArihantDeva/heimdall) | Difficulty: Intermediate | Time: 45 minutes | Basis: From the README

Build a searchable memory of your repos that never leaves your machine.

**Who it is for:** A developer with private or client code who wants searchable agent memory without sending files to a cloud model.

**The problem:** Most memory tools send code to an extraction LLM or charge tokens for every indexed file.

**The outcome:** A local index built with tree-sitter parsing and local embeddings, with search running against your local daemon.

### Steps

1. `npm i -g @arihantdeva/heimdall`
2. `heimdall setup --detect-only`
3. `heimdall setup --model bge-small-en-v1.5`
4. `heimdall doctor`
5. `heimdall search "<topic>"` (inferred, check the README)

### Prompt to paste into your agent

```text
Using the ArihantDeva/heimdall CLI, run `heimdall setup --detect-only` and report the hardware profile, then run `heimdall doctor` and confirm it prints HEALTHY. Expected output: the hardware profile and the doctor status. Verify that no network call is needed for indexing by checking the README's stated local-only design.
```

### Caveat

The README says the Linux daemon packaging is still unchecked on the roadmap, so the background daemon setup is documented for macOS launchd and may need manual work on Linux.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/arihantdeva-heimdall/index-private-code-locally-no-llm/