DEDUPEDWhat do you want to do?
4 use cases
-
Find a solution you already built in another repo
Run one ranked search across every project to see if you already solved the problem.
View prompt
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.
-
Start agent sessions with relevant prior work already loaded
Inject past project context into a new agent session so it skips the orientation loop.
View prompt
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.
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Reuse remembered code only when it is still verified
Check each hit's verdict so an agent acts on STRONG matches and skips stale paths.
View prompt
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.
-
Index private code on your own CPU with no token spend
Build a searchable memory of your repos that never leaves your machine.
- REPO
ArihantDeva/heimdall - Software and DevOps
- Intermediate
View prompt
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.
- REPO
Quick start with Heimdall
- Check you have what it needs: Node.js with npm, to run `npm i -g @arihantdeva/heimdall`; macOS or a Debian, Ubuntu, Fedora or Amazon Linux machine, with the build prerequisites listed in the README for the graft backend; git, because llama.cpp is cloned at first build.
- Open ArihantDeva/heimdall on GitHub and read the README and license.
npm i -g @arihantdeva/heimdallheimdall init --harness claude-codeheimdall setupheimdall doctor
These steps come from our top use case, Find a solution you already built in another repo, which also has a copy-paste agent prompt.
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About this repo
- Who it is forIndie developers and engineers with many side projects who want their AI coding agent to reuse work they already built instead of rebuilding it.
- Why it is hot137 stars, launched 65 days ago
- LanguageJavaScript
- Sourcegithub.com/ArihantDeva/heimdall · Back to Hot repos
Requirements
- Node.js with npm, to run `npm i -g @arihantdeva/heimdall`
- macOS or a Debian, Ubuntu, Fedora or Amazon Linux machine, with the build prerequisites listed in the README for the graft backend
- git, because llama.cpp is cloned at first build
- A supported agent harness: pi, Claude Code, Codex, Cursor, Windsurf, or opencode
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Questions about Heimdall
What is 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. It is an open-source project on GitHub: https://github.com/ArihantDeva/heimdall.
Who is Heimdall for?
Indie developers and engineers with many side projects who want their AI coding agent to reuse work they already built instead of rebuilding it.
What can I do with Heimdall?
4 use cases so far, for example: Find a solution you already built in another repo; Start agent sessions with relevant prior work already loaded; Reuse remembered code only when it is still verified. Each has steps and a copy-paste agent prompt.
What do I need to run Heimdall?
Node.js with npm, to run `npm i -g @arihantdeva/heimdall`; macOS or a Debian, Ubuntu, Fedora or Amazon Linux machine, with the build prerequisites listed in the README for the graft backend; git, because llama.cpp is cloned at first build; A supported agent harness: pi, Claude Code, Codex, Cursor, Windsurf, or opencode.
What are alternatives to Heimdall?
Other hot AI repos in Software and DevOps: Codex LB Enhanced, Reuse Before Build, Aibuildai LLM Posttrain Agent, FlowX, Codex Guard.
Is Heimdall safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.