NexUp AI modules give autonomous agents the memory, planning, and routing they need to actually perform in production — plug-and-play, zero infrastructure overhead.
Performance modules
Give your AI agent a memory it actually keeps.
VectorMem Pro gives autonomous agents persistent, searchable memory across every session — so they stop starting from zero every conversation. Without it, your agent resets constantly, losing context and breaking multi-step workflows. Integrates in under an hour with any LLM stack.
FAQ
Works with my existing stack?
Yes — framework-agnostic. LangChain, AutoGen, OpenAI, Anthropic, custom Python. Install via npm or pip.
What happens if I cancel?
Your data is yours. Export all stored memory as JSON anytime. 30-day offboarding window, no data hostage.
How is this different from using a database?
A database stores data. VectorMem Pro understands it — semantic search, token compression, and memory tiering built for LLMs.
Stop planning in circles — let your agent think in graphs.
PlannerCore decomposes high-level goals into executable, dependency-aware subtask graphs — so your agent always knows what to do next and what to do when something fails. It eliminates the 'infinite loop' problem with real-time plan revision, failure recovery, and 87% faster planning than raw LLM loops.
FAQ
Can it handle tasks that fail partway?
Yes — that's its core strength. Detects failure, applies retry/fallback logic, revises the dependency graph. Your agent keeps moving.
Works with long-running workflows?
Built for it. Persistent plan state across restarts means long tasks survive interruptions without losing their place.
How does it integrate?
Install via npm or pip, pass your agent's goal string. PlannerCore returns a structured task graph. No proprietary DSL, no lock-in.
Stop babysitting your agent swarm — let MultiRoute run it.
MultiRoute coordinates multi-agent systems by dispatching tasks to the right agent at the right time based on real-time load and declared capabilities. As your network grows, manual routing becomes the bottleneck — MultiRoute eliminates it with load-aware dispatch, circuit-breaker isolation, and auto-recovery.
FAQ
How many agents can it handle?
Scales to hundreds of agents. Horizontal scaling is a config flag, not an architectural rewrite.
What happens when an agent fails mid-task?
Circuit-breaker fires, queued tasks reroute to healthy agents automatically. Zero manual intervention.
Must all agents use the same framework?
No. MultiRoute works with any agent that exposes an API or message queue — heterogeneous stacks fully supported.
workflow
Drop the module into your agent stack with a single npm install or pip install. Zero config required to get started.
npm install @nexup/vectormemExpose your module via a clean config object or environment variables. Fine-tune thresholds, limits, and behavior.
nexup.init({ module: "vectormem" })Ship your enhanced agent to production. Modules run as lightweight sidecars — no extra infra, no lock-in.
agent.deploy() // ✓ modules activesocial proof
From indie agent builders to multi-agent enterprises — NexUp modules run in production across the world's most ambitious AI stacks.
PlannerCore cut our agent's task-planning latency by 87%. We went from 12-step LLM loops to a clean dependency graph in a single afternoon.
why nexup ai
Our modules install in minutes via npm or pip and integrate with any LLM stack — LangChain, AutoGen, custom Python, or raw API. Production-grade memory, planning, and routing without months of infrastructure work.
NexUp modules are designed for agents that act without human oversight — persistent memory across sessions, adaptive planning under uncertainty, and fault-tolerant routing for multi-agent swarms. This isn't chatbot middleware.
Cancel any module at any time. Export your data whenever you want. Every module is a standalone component — use one, use all three, or swap them out. We win by being the best, not by trapping you.
Pick a module, drop it in, ship faster. No long-term contracts, no vendor lock-in — just performance. Start for $1 and upgrade anytime.