MANEF AI
Compose the reviewed MANEF AI modules — Models, MCP Builder, Connectors and Agent@Manef — without merging their codebases.
For Teams wiring models, MCP servers and connectors into one product foundation.

MANEF AI
What you can explore
One descriptor per module
Each product keeps its own repository, runtime, lockfile and credentials; the workspace only adds pinned metadata.
Check before adopting
The offline conformance checker verifies descriptor and lock agreement before any module touches your code.
Preview, do not execute
The local hub shows module readiness and composition previews while reporting adapters as unconfigured.
A task to try
As an integrator, I want one reviewed workspace that pins Models, MCP Builder, Connectors and Agent@Manef so I can adopt a module without forking four codebases.
Your first useful task
Check the requirements, follow the first step, then review the result.
What you need
Node 22.13+ and pnpm 10.34.7 for the workspace. Each module keeps its own runtime: Node for Models, Bun for MCP Builder, a Bash-capable shell for Connectors, Python 3.10+ for Agent@Manef. Access to the private repository is granted by the owner.
Start here
Run pnpm install --frozen-lockfile --ignore-scripts, then pnpm run build and pnpm run check to verify every module descriptor offline before adopting one.
Open component setup guidesWhat you get
A verified foundation with pinned module revisions, a passing conformance check and a local hub that reports unconfigured adapters instead of pretending to be live.
Availability
Early source toolkit
Private source workspace with pinned module descriptors, an offline conformance checker and a local preview hub. It does not deploy, start products, resolve secrets or route live model calls; per-component setup stays at resource.manef.dev.
Published by: MANEF
Need help choosing?
Describe your setup and the task you want to finish.


