Paper • 2026
Persistent Memory for Agentic Workflows
A novel architecture for long-term agent memory achieving 94% retention accuracy across sessions, enabling agents to learn and adapt over time without catastrophic forgetting.
Nexus agents now in private beta — join the waitlist
Build beyond the prompt.
An agent-native runtime for engineering teams. Deploy persistent AI agents that reason, act, and evolve across your entire codebase.
Deploy
$ nexus deploy agent --name architect --repo org/backend Deploying... / Analyzing 12k files across 43 modules / Dependency graph built in 2.3s / Agent ready in 4.1s
Interact
$ nexus ask "Find all deprecated API routes across the monorepo" Searching 47 packages... / Found 23 deprecated endpoints / 6 files affected, 0 breaking changes / Plan: nexus apply plan --id deprecation-fix
12k+
Files indexed per deployment
<100ms
Median token latency
30+
Team members
12
Research publications
01 About
What is Nexus?
Nexus is an AI infrastructure company building the runtime for autonomous software agents. Founded in 2024 by engineers from leading ML labs and cloud platforms, we are building the foundation for agent-native software development.
Our mission. Make every engineering team orders of magnitude more productive by giving them AI agents that truly understand their codebase, their workflows, and their constraints. Not a copilot that completes lines — a collaborator that plans, builds, tests, and deploys alongside you.
Our approach. We combine large-scale context windows (1M+ tokens), persistent working memory, and tool-use architectures to create agents that remember what they learned yesterday and apply it to today’s problems. No session resets. No context loss. Read our research →
Our team. Nexus is built by researchers and engineers from Anthropic, Google, and Meta, with collective experience spanning ML infrastructure, distributed systems, and developer tooling at planetary scale. We are backed by leading investors including Sequoia Capital and Andreessen Horowitz.
2024
Founded
$45M
Series A funding
30+
Team members
12
Publications
02 Research
Advancing the frontier of agentic AI.
Our research spans reasoning, memory, tool-use, and agent architectures. View all publications →
Paper • 2026
Tool-Augmented Reasoning at Scale
We demonstrate that structured tool-use during chain-of-thought improves reasoning accuracy by 37% over standard CoT on complex software engineering tasks.
Model • 2026
Nexus-1: Agent Foundation Model
Our flagship model achieves state-of-the-art results on agentic benchmarks, trained on 3M+ trajectories of tool-mediated problem solving across real-world engineering tasks.
03 Capabilities
Built for agents, not chatbots.
Every component of the Nexus platform is designed for autonomous agent operation. Explore platform →
Agent-Native Runtime
A purpose-built runtime for persistent, reasoning agents with tool-use, multi-step planning, and autonomous execution. Not a chatbot wrapper — an agent-native engine.
Multi-Modal
Process text, code, images, diagrams, and audio in a single unified pipeline with no context switching.
1M+ Token Context
Ingest entire codebases in one pass. Agents see your full architecture, not just the file you are editing.
Persistent Memory Layer
Agents remember across sessions, users, and deployments. Today’s learning compounds into tomorrow’s effectiveness. No context reset.
Enterprise Security
SOC 2 compliant, encrypted at rest and in transit. Self-hostable on your own infrastructure with full data isolation.
Autonomous Loops
Agents plan, execute, test, and iterate autonomously. You review diffs and approve.
# nexus.yaml loop: plan: "refactor auth module" execute: true review: "@senior-dev"
Enterprise Governance
SSO, audit logs, role-based access control, usage quotas, and dedicated support. Deploy on your infrastructure or ours with zero configuration overhead.
Developer SDKs
TypeScript, Python, and Go SDKs with full type definitions, comprehensive docs, and example projects. REST API for any workflow.
04 How It Works
From codebase to deployed agent in four steps.
01
Connect your repo
Point Nexus at any Git repository. We index the full codebase, build a dependency graph, and establish persistent context in under 30 seconds.
02
Define your agent
Configure goals, tools, and guardrails in a simple YAML manifest. No boilerplate. Your agent understands the code before it starts.
03
Deploy and iterate
One command deploys your agent. It plans, executes, and reports back. You review diffs and approve changes.
04
Learn and improve
Agents persist their learnings across sessions. Your team’s collective knowledge compounds with every deployment.
FAQ
Frequently asked questions.
Everything you need to know about Nexus. Still have questions? Reach out to our team.
Is Nexus ready for production use?
Yes. Nexus is deployed in production by 800+ organizations, running over 1 million agent sessions per week. The platform is SOC 2 compliant and available in both cloud and self-hosted configurations.
How is Nexus different from GitHub Copilot or Cursor?
Copilot and Cursor are coding assistants that help you write code in real-time. Nexus is an autonomous agent platform: you define a goal, and the agent plans, executes, and iterates independently. It's not a copilot — it's a collaborator.
Can Nexus understand my project's specific architecture?
Yes. During initialization, Nexus indexes your entire codebase, builds a dependency graph, and establishes persistent context. The agent understands your project structure, coding conventions, and architectural patterns from day one.
What kind of tasks can Nexus agents handle?
Nexus agents excel at tasks that benefit from multi-step reasoning and tool use: code refactoring, bug diagnosis and repair, dependency upgrades, code review, documentation generation, architecture analysis, and migration planning.
Ready to build beyond the prompt?
Early access is open for engineering teams. Join the private beta and get a dedicated onboarding session. No commitment, no credit card.