diff --git a/lib/OptimizationAccelerated/Manifest.toml b/lib/OptimizationAccelerated/Manifest.toml
new file mode 100644
index 000000000..6d2665096
--- /dev/null
+++ b/lib/OptimizationAccelerated/Manifest.toml
@@ -0,0 +1,1490 @@
+# This file is machine-generated - editing it directly is not advised
+
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+    SymPy = "24249f21-da20-56a4-8eb1-6a02cf4ae2e6"
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diff --git a/lib/OptimizationAccelerated/Project.toml b/lib/OptimizationAccelerated/Project.toml
new file mode 100644
index 000000000..3b8b7781d
--- /dev/null
+++ b/lib/OptimizationAccelerated/Project.toml
@@ -0,0 +1,11 @@
+name = "OptimizationAccelerated"
+uuid = "234f196c-a7b2-45f8-8852-8b9a9df78a86"
+authors = ["Vaibhav Dixit <vaibhavyashdixit@gmail.com> and contributors"]
+version = "0.0.1"
+
+[deps]
+LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
+ModelingToolkit = "961ee093-0014-501f-94e3-6117800e7a78"
+OSQP = "ab2f91bb-94b4-55e3-9ba0-7f65df51de79"
+Optimization = "7f7a1694-90dd-40f0-9382-eb1efda571ba"
+OptimizationMOI = "fd9f6733-72f4-499f-8506-86b2bdd0dea1"
diff --git a/lib/OptimizationAccelerated/src/OptimizationAccelerated.jl b/lib/OptimizationAccelerated/src/OptimizationAccelerated.jl
new file mode 100644
index 000000000..c183ef9c0
--- /dev/null
+++ b/lib/OptimizationAccelerated/src/OptimizationAccelerated.jl
@@ -0,0 +1,79 @@
+module OptimizationAccelerated
+using Optimization, Optimization.SciMLBase, LinearAlgebra
+using OptimizationMOI, OSQP, ModelingToolkit
+
+struct AcceleratedOpt
+    β::Float64
+    δ::Float64
+    Tₖ::Float64
+    α::Float64
+    ϵ::Float64
+    ϵ_sol::Float64
+    ϵ_const::Float64
+end
+
+SciMLBase.supports_opt_cache_interface(opt::AcceleratedOpt) = true
+SciMLBase.allowsconstraints(::AcceleratedOpt) = true
+SciMLBase.requiresconstraints(::AcceleratedOpt) = true
+
+function SciMLBase.__solve(cache::OptimizationCache{
+    F,
+    RC,
+    LB,
+    UB,
+    LC,
+    UC,
+    S,
+    O,
+    D,
+    P,
+    C,
+}) where {
+    F,
+    RC,
+    LB,
+    UB,
+    LC,
+    UC,
+    S,
+    O <: AcceleratedOpt,
+    D,
+    P,
+    C,
+}
+    β, δ, Tₖ, α, ϵ, ϵ_sol, ϵ_const = cache.opt.β, cache.opt.δ, cache.opt.Tₖ, cache.opt.α, cache.opt.ϵ, cache.opt.ϵ_sol, cache.opt.ϵ_const
+
+    xₖ = cache.u0
+    uₖ = zeros(eltype(xₖ), length(xₖ))
+    gradcache = zeros(eltype(xₖ), length(xₖ))
+    conscache = zeros(eltype(xₖ), length(cache.lcons))
+    consjaccache = zeros(eltype(xₖ), length(cache.lcons), length(xₖ))
+    for i in 1:cache.solver_args.maxiters
+        gradcache .= zero(eltype(xₖ))
+        cache.f.grad(gradcache, xₖ + β*uₖ)
+        rₖ = uₖ - 2*δ*Tₖ*uₖ - gradcache*Tₖ
+        w = []
+        W = []
+        conscache .= zero(eltype(xₖ))
+        cache.f.cons(conscache, xₖ)
+        consjaccache .= zero(eltype(xₖ))
+        cache.f.cons_j(consjaccache, xₖ)
+        for j in 1:length(cache.lcons)
+            if conscache[j] < 0
+                push!(w, -α*conscache[j] - ϵ*min(dot(consjaccache[j,:], uₖ) + α*conscache[j], 0))
+                push!(W, consjaccache[j,:])
+            end
+        end
+        quadprob = OptimizationProblem(OptimizationFunction((v, p =nothing) -> (v - rₖ).^2, Optimization.AutoModelingToolkit(), cons = (res, v, p = nothing) -> res .= W .* v - w), uₖ, lcons = zeros(length(w)))
+        
+        uₖ = solve(quadprob, OSQP.Optimizer()).u
+        xₖ = xₖ + Tₖ*uₖ
+        if norm(uₖ, 1) < ϵ_sol
+            break
+        end
+    end
+    
+    return SciMLBase.build_solution(cache, cache.opt, xₖ, opt.f(xₖ))
+end
+
+end
\ No newline at end of file
diff --git a/lib/OptimizationAccelerated/test/runtests.jl b/lib/OptimizationAccelerated/test/runtests.jl
new file mode 100644
index 000000000..42d6890cc
--- /dev/null
+++ b/lib/OptimizationAccelerated/test/runtests.jl
@@ -0,0 +1,17 @@
+using OptimizationAccelerated, Optimization
+using ReverseDiff
+
+function rosenbrock(x, p=nothing)
+    (1 - x[1])^2 + 100 * (x[2] - x[1]^2)^2
+end
+
+function con2_c(res, x, p)
+    res .= [x[1]^2 + x[2]^2, x[2] * sin(x[1]) - x[1]]
+end
+
+x0 = zeros(2)
+l1 = rosenbrock(x0, nothing)
+optprob = OptimizationFunction(rosenbrock, Optimization.AutoReverseDiff(), cons = cons2_c)
+prob = Optimization.OptimizationProblem(optprob, x0)
+
+sol = solve(prob, OptimizationAccelerated.AcceleratedOpt(0.5, 0.5, 1.0, 0.5, 1e-6, 1e-6, 1e-6))