Help build safer ways for AI agents to act in real systems.
AgentHiFive is an open-source authority delegation platform for AI agents. It gives teams a way to connect real tools and data to agents with policy controls, approvals, revocation, and audit trails instead of raw credentials.
This page is intentionally practical. It is here to show what is real today, where help is useful, and how to join without having to decode the whole project first.
Pick the path that matches how you like to help.
You do not need to show up as a full-time maintainer to be useful. The most valuable contributions are often focused: improve a doc, tighten a test, validate an integration, or help make one runtime easier to adopt.
Try the product
Use the hosted app or self-host it so you can see the actual agent authority model before you touch code.
Build on an existing runtime
Use the published OpenClaw plugin or the MCP server as the fastest way to test AgentHiFive in a real agent workflow.
Improve contributor experience
There is room to make setup, docs, examples, and onboarding much smoother for the next developer who arrives.
Review the safety model
Security-minded contributors can help harden policies, tests, approval flows, and the brokered execution model.
Strong contribution areas right now.
The best near-term work is the kind that makes AgentHiFive easier to trust, easier to run, and easier to plug into real agent stacks.
Runtime integrations
Strengthen existing runtime paths, add new adapters, and make authority delegation easier to adopt without replacing an entire stack.
Connectors and action coverage
Improve provider coverage, action templates, and the practical workflows teams need across mail, files, chat, planning, and ticketing tools.
Docs, demos, and onboarding
Help turn the project into something developers can discover, understand, and successfully run in a single sitting.
Testing and security review
Expand coverage around policy enforcement, approval flows, vault execution, and the sharp edges that show up once agent actions hit production systems.
How to contribute without guessing.
If you are interested but not sure where to begin, follow this path. It keeps the first contribution grounded in the actual product instead of abstract architecture.
Read just enough
Skim the README, setup docs, and one integration path such as OpenClaw or self-hosting so you have the basic model in your head.
Try one real workflow
Sign up or self-host, connect a service, and walk through at least one authority-gated action. That experience will make the code much easier to reason about.
Pick a bounded change
Choose one issue, one doc gap, one failing test, one integration seam, or one setup pain point instead of trying to redesign everything at once.
Talk early
If the right issue does not exist yet, start a conversation in GitHub Issues or Discord and propose the specific problem you want to solve.
What we are trying to improve next.
This is not a formal public roadmap. It is a lightweight orientation guide so contributors can see where effort is most likely to help.
Now
Make the current product easier to evaluate and adopt through better docs, stronger runtime paths, cleaner onboarding, and more trustworthy demos.
Next
Expand the set of runtime and connector paths that can use AgentHiFive as a governed backend instead of asking teams to swap out their whole stack.
Later
Grow the ecosystem around reusable integration patterns, better operator tooling, and more ways for teams to apply policy to agent actions across environments.
Real places to collaborate.
If you want to help, these are the current public entry points. Use the one that best matches your intent.
GitHub
Best for code, concrete bugs, roadmap ideas, and contribution history that stays close to the repo.
Discord
Best for quick questions, early collaboration, and the “is this a good contribution idea?” kind of conversation.
Docs and setup guides
Best if you want to improve the first-run experience or validate what a new adopter will see.
Want to help move AgentHiFive forward?
Start with the repo, pick one real problem, and say hello early. Small focused contributions are welcome, especially when they make the project easier to adopt or easier to trust.