What do you want to do?
4 use cases
-
Run the offline governed context demo
Watch pinning, writes, search, fault recovery, and signed erasure run on a local kernel with no network.
- Halofy
- Work and operations
- Intermediate
View prompt
Clone https://github.com/halofyai/halofy, go to the kernel folder, run npm ci and npm run demo, and report the lines that show the fault result and the certificate verification. Verify that the output includes 'verifyCertificate === true' and that no API key was required.
-
Connect an AI agent to shared context over MCP
Give an agent a key that fixes its namespace, actor, and role on the server before it reads or writes.
- Halofy
- Work and operations
- Advanced
View prompt
In the halofy repository, go to kernel, generate a key for namespace org/support/agent-1 with keygen, and start the MCP server with that key. Report the namespace and role the server resolves for the agent, and confirm that the MCP tool schemas do not accept caller-supplied identity fields.
-
Review agent access and audit in the control room
Open the console to check access, policies, conflicts, and audit events across agents.
- Halofy
- Work and operations
- Intermediate
View prompt
In the halofy repository, go to kernel, run npm run serve, and open http://localhost:8787/console/login. Report which sections of the control room are available, and verify that the audit section lists recorded events after one write has been made.
-
Self-host governed memory on Postgres
Run a durable kernel on Postgres and pgvector with Docker Compose, backups, and generated keys.
- Halofy
- Work and operations
- Advanced
View prompt
In the halofy repository, read docs/self-hosting.md and list the steps needed to run the kernel on Postgres with Docker Compose. Verify that the guide covers backups and restores before reporting the plan.
How to use Halofy
- Check you have what it needs: Git installed to clone the repository; npm available to install and run the kernel; A terminal on your machine; no API key or database server is needed for the offline demo.
- Open halofyai/halofy on GitHub and read the README and license.
- Clone the repository with
git clone https://github.com/halofyai/halofy.git - Change into the kernel folder with
cd halofy/kernel - Install dependencies with
npm ci - Run the offline story with
npm run demo
These steps come from our top use case, Run the offline governed context demo, which also has a copy-paste agent prompt.
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Get them freeAbout this repo
- Who it is forPlatform, IT, or operations engineers who need to control what AI agents can read and write across an organization and prove what they did.
- Why it is hot
- LanguageTypeScript
- Sourcegithub.com/halofyai/halofy · Back to Hot repos
Requirements
- Git installed to clone the repository
- npm available to install and run the kernel
- A terminal on your machine; no API key or database server is needed for the offline demo
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Questions about Halofy
What is Halofy?
Halofy is an open source access and governance layer that gives AI agents across an organization one server-resolved identity, policy model, provenance trail, audit log, and signed erasure. It is an open-source project on GitHub: https://github.com/halofyai/halofy.
Who is Halofy for?
Platform, IT, or operations engineers who need to control what AI agents can read and write across an organization and prove what they did.
What can I do with Halofy?
4 use cases so far, for example: Run the offline governed context demo; Connect an AI agent to shared context over MCP; Review agent access and audit in the control room. Each has steps and a copy-paste agent prompt.
What do I need to run Halofy?
Git installed to clone the repository; npm available to install and run the kernel; A terminal on your machine; no API key or database server is needed for the offline demo.
What are alternatives to Halofy?
Other hot AI repos in Work and operations: AI Job Search, Solidcraft, Fastbrowse, Awesome AI Agent Platforms, Nautilo.
Is Halofy 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.