Augment Code vs. NEO Comparison


Augment Code Harness 5.0 out of 5 stars	NEO
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Augment Code	NEO
		Related Products Retool Securely deploy vibe-coded apps in one governed platform. Build in Retool, import from tools like Claude Code, Replit, or Lovable, or connect via MCP. However your team builds, every app ships safely, with governance built in. People across your organization are already vibe-coding internal tools with no SSO, no RBAC, no audit logs, and no connection to your existing data controls. Retool is where secure vibe coding happens by default. Build from scratch, import an app from another AI builder, or connect an agent via MCP — governance lives in the platform, not in each individual app. 4.6 out of 5 stars 608 Ratings Visit Website for Retool Google AI Studio Google AI Studio is a unified development platform that helps teams explore, build, and deploy applications using Google’s most advanced AI models. It brings text, image, audio, and video models together in one interactive playground. 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The platform integrates Jotform Apps with ChatGPT and Claude, allowing users to turn ideas discussed with an AI assistant into functional applications without traditional programming. 4.6 out of 5 stars 9,009 Ratings Visit Website for Jotform BAND BAND builds enterprise-grade interaction infrastructure for distributed AI agents. Its platform enables real-time, multi-peer collaboration across agents and humans, while providing a runtime control plane that enforces policy, authority boundaries, and visibility across heterogeneous systems. BAND supports developers, engineering teams, and enterprise platform leaders operating multi-agent ecosystems across internal systems, SaaS platforms, and partner environments. 5.0 out of 5 stars 3 Ratings Visit Website for BAND Aikido Security Secure your code, cloud, and runtime in one central system. Aikido’s all-in-one security platform is loved by developers and security teams alike with full security visibility, insight in what matters most, and fast/automatic vulnerability fixes. Teams get security done with Aikido thanks to: - False-positive reduction - AI Autotriage & AI Autofix - Deep integration into the dev workflow (from IDEs and task managers to CI/CD gating) - AI Pentests - Automated Compliance Aikido covers the entire Software Development Lifecycle (SDLC), including: static application security testing (SAST), dynamic application security testing (DAST), infrastructure-as-code (IaC), container scanning, secrets detection, open source license scanning (SCA), cloud posture management (CSPM), runtime protection, AI pentests, and more. 4.6 out of 5 stars 367 Ratings Visit Website for Aikido Security LM-Kit.NET LM-Kit.NET is a complete local AI runtime for .NET that lets engineering teams ship AI-powered features without cloud dependencies, per-token costs, or data leaving the network. Most .NET AI integrations stop at inference. 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Built on SearchUnifyFRAG™ (Federated Retrieval Augmented Generation) and Agentic RAG, it delivers contextually accurate, real-time responses across self-service, agent-assisted, and automated support workflows. Its product suite includes Cognitive Search, SearchUnifyGPT™, SUVA (Virtual Assistant), Knowbler, and Agent Helper. The Agentic AI Suite deploys eight specialized AI Agents handling case resolution, case classification, escalation management, knowledge management, case quality auditing, and L2 technical workflow automation. SearchUnify supports BYOLLM, enabling LLM flexibility without vendor lock-in, and uses Model Context Protocol (MCP) for secure enterprise integrations. A built-in governance layer provides role-based access control, PII masking, and compliance with ISO 27001, HIPAA, and SOC 2. 4.5 out of 5 stars 150 Ratings Visit Website for SearchUnify Gemini platform Gemini platform is an enterprise AI development and machine learning platform from Google Cloud that enables organizations to build, customize, deploy, and manage AI agents and intelligent applications. Formerly known as Vertex AI, the platform provides access to more than 200 foundation models from Google, third-party providers, and open-source communities. Its Agent Studio and Agent Development Kit allow developers to create autonomous agents, design multistep workflows, and integrate artificial intelligence with enterprise data and external tools. The platform also supports custom model training, fine-tuning, machine learning pipelines, model evaluation, and scalable inference infrastructure. Enterprise capabilities include agent identity management, centralized governance, security policies, persistent memory, and monitoring tools for evaluating agent performance. Gemini platform integrates with BigQuery, Google Antigravity, Google Cloud infrastructure, and developer frameworks to support generative AI applications, predictive analytics, and automated business workflows. 4.3 out of 5 stars 1,178 Ratings Visit Website for Gemini platform StackAI StackAI is an enterprise AI automation platform to build end-to-end internal tools and processes with AI agents in a fully compliant and secure way. Designed for large, regulated organizations, it enables teams to automate complex workflows across operations, compliance, finance, IT, and support without heavy engineering. 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Augment Code: About Augment Code is an AI-powered software development platform that helps engineering teams write, understand, review, and maintain code across complex projects. Its Context Engine uses semantic indexing to analyze codebases, identify relationships between files, and retrieve relevant information from multiple repositories. The platform provides AI coding agents that assist with implementing features, debugging issues, refactoring code, and generating tests. Developers can access these capabilities through supported development environments, command-line tools, and integrations with other AI coding assistants. Augment Code also offers automated code review functionality that evaluates changes for correctness, security concerns, and architectural issues. Its agent orchestration capabilities support coordinated development workflows with human approval checkpoints and shared knowledge across engineering teams.	NEO: About NEO is an autonomous machine learning engineer: a multi-agent system that automates the entire ML workflow so that teams can delegate data engineering, model development, evaluation, deployment, and monitoring to an intelligent pipeline without losing visibility or control. It layers advanced multi-step reasoning, memory orchestration, and adaptive inference to tackle complex problems end-to-end, validating and cleaning data, selecting and training models, handling edge-case failures, comparing candidate behaviors, and managing deployments, with human-in-the-loop breakpoints and configurable enablement controls. NEO continuously learns from outcomes, maintains context across experiments, and provides real-time status on readiness, performance, and issues, effectively creating a self-driving ML engineering stack that surfaces insights, resolves standard settlement-style friction (e.g., conflicting configurations or stale artifacts), and frees engineers from repetitive grunt work.
Augment Code: Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	NEO: Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Augment Code: Audience Software developers, engineering teams, DevOps professionals, platform engineers, technical leads, and enterprise development organizations seeking AI-assisted coding, codebase analysis, automated code reviews, and coordinated software development workflows	NEO: Audience Machine learning engineering teams and data scientists looking for a solution to outsource routine ML pipeline execution to an autonomous system that builds, validates, and deploys models with minimal manual intervention
Augment Code: Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	NEO: Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
Augment Code: API Offers API Supported	NEO: API Offers API Not Supported
Augment Code: Screenshots and Videos View more images or videos	NEO: Screenshots and Videos View more images or videos
Augment Code: Pricing $50 per developer per month Plans: Community: Free Developer: $50/month Pro: $100/month Max: $250/month Free Version Supported Free Trial Supported	NEO: Pricing No information available. Free Version Not Supported Free Trial Not Supported
Augment Code: Reviews/Ratings Overall 5.0 / 5 ease 4.5 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews	NEO: Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
Augment Code: Pros & Cons from Real Users Pros Clean, easy-to-use interface Smart, fast, and helpful AI suggestions Very responsive and human-centered support team Transparent pricing and generous gesture when issues arise The team genuinely cares about their users Augment Code's new Remote Agents feature is a game-changer for professional software engineers, particularly when working with large codebases. As a developer, I’ve never had an assistant so deeply integrated into my workflow. The AI-powered Agent knows my codebase inside and out, and it provides real-time insights, context, and suggestions, tailored specifically to my project. Whether I’m working on SDK migration, code refactoring, or documentation, the agent offers step-by-step guidance to help me navigate complex tasks with ease. One of the standout features is multi-repo code context—I no longer need to switch between multiple repositories or lose track of dependencies. This saves a tremendous amount of time and ensures I stay productive. Augment Code integrates seamlessly with popular IDEs like VS Code, IntelliJ, Vim, and even Slack, ensuring it fits perfectly into my existing workflow. Cons Minor billing hiccup when updating payment methods Initial confusion around subscription renewal While the AI Agent is impressive, the only limitation I’ve encountered is that it occasionally struggles with providing context for very specific, niche libraries or tools that are not part of the more common frameworks. However, this is a minor issue and doesn’t detract from the overall usefulness of the tool, especially when it’s highly effective with mainstream tools and codebases.
Augment Code: Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	NEO: Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Augment Code: Company Information Harness Founded: 2022 United States www.augmentcode.com	NEO: Company Information NEO United States heyneo.so/
Augment Code: Alternatives JetBrains Junie JetBrains	NEO: Alternatives Kimchi
Augment Code: Amp Amp Code 4.7 out of 5 stars	NEO: Factory Droid Factory.ai 5.0 out of 5 stars
Augment Code: Port Port IO 5.0 out of 5 stars	NEO: Cline Cline AI Coding Agent 5.0 out of 5 stars
Augment Code: Claude Code Anthropic 5.0 out of 5 stars	NEO: Mel Thinkverse AI LLC
Augment Code: Cursor 5.0 out of 5 stars View All	NEO: Cosine View All
Augment Code: Categories Agentic AI Supported Agentic CLI Coding Tools Supported AI Code Generators Supported AI Code Review Supported AI Coding Agents Supported AI Coding Assistants Supported Vibe Coding Supported	NEO: Categories Agentic AI Supported AI Coding Agents Supported AI Coding Assistants Supported

Augment Code: Integrations Visual Studio Code Supported C++ Supported Claude Not Supported Claude Haiku 5.5 Supported Claude Opus 4.6 Supported Claude for Legal Not Supported GPT-5.1 Supported GPT-5.2 Instant Supported GPT-5.2 Thinking Supported GPT-6 Luna Supported GPT‑5.4 Thinking Supported GPT‑6 Cyber Supported JetBrains DataSpell Supported JetBrains MPS Supported Kimi K3 Supported Model Context Protocol (MCP) Supported MongoDB Atlas Supported OpenAI Not Supported Rust Supported Stripe Supported Show More Integrations View All 98 Integrations	NEO: Integrations Visual Studio Code Supported C++ Not Supported Claude Supported Claude Haiku 5.5 Not Supported Claude Opus 4.6 Not Supported Claude for Legal Supported GPT-5.1 Not Supported GPT-5.2 Instant Not Supported GPT-5.2 Thinking Not Supported GPT-6 Luna Not Supported GPT‑5.4 Thinking Not Supported GPT‑6 Cyber Not Supported JetBrains DataSpell Not Supported JetBrains MPS Not Supported Kimi K3 Not Supported Model Context Protocol (MCP) Not Supported MongoDB Atlas Not Supported OpenAI Supported Rust Not Supported Stripe Not Supported Show More Integrations View All 8 Integrations
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