Alternatives to Harden

Compare Harden alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Harden in 2026. Compare features, ratings, user reviews, pricing, and more from Harden competitors and alternatives in order to make an informed decision for your business.

  • 1
    GLM-5.3
    GLM-5.3 is Z.ai’s frontier coding model designed for complex software engineering, long-horizon agent tasks, and advanced post-training research. The model uses the same base model as GLM-5.2, with improvements coming from scaled post-training across more environments, more diverse tasks, and larger compute investment. GLM-5.3 delivers stronger coding performance, better task ownership, improved benchmark results, and greater efficiency across realistic development workflows. It is built to handle complex coding tasks, production-style engineering work, research environments, automation tasks, and agentic workflows that require multi-step execution. The model also shows emergent cyber capabilities in vulnerability discovery and exploitation-chain reasoning, with safety evaluation and hardening planned before open-weight release.
  • 2
    Qwen3.8-Max
    Qwen3.8-Max is Qwen’s most capable model to date, built as a Max-class AI model for coding, work, research, long-horizon tasks, and multimodal agents. It scales to 2.4 trillion parameters with 95 billion active parameters and is available through QwenCloud. The model is designed to complete complex, open-ended tasks end to end with greater reliability and minimal human involvement. Qwen3.8-Max supports autonomous coding workflows, agentic development, research reproduction, visual reasoning, document understanding, video analysis, and real-world productivity tasks. It can integrate with popular agent frameworks and coding assistants, including Claude Code, Codex, Qoder CLI, Qwen Code, and OpenClaw. Built for developers, researchers, enterprises, and AI agent builders, Qwen3.8-Max helps teams automate sophisticated work across code, documents, tools, interfaces, and multimodal content.
    Starting Price: $2 per 1M (input)
  • 3
    HOL Guard
    HOL Guard is a local-first runtime security layer for AI agents that watches what an AI assistant is about to do and stops risky actions before they happen. It sits between the agent and the computer, evaluating supported tool calls and local artifacts for threats such as secret and credential exposure, destructive commands, prompt-injection-driven actions, malicious or changed packages, risky MCP configuration, and unsafe plugins, skills, hooks, and settings. Known threats can be blocked automatically, while ambiguous actions are paused for user approval so people remain in control. Guard runs entirely on the developer’s machine, works offline, and does not upload files, prompts, or passwords. Local checks typically complete in under 50 milliseconds and require no changes to existing code or routines. It supports coding agents including Claude Code, Cursor, Codex, Gemini CLI, OpenCode, Hermes, and OpenClaw, with tailored integrations that inspect actions before execution.
    Starting Price: $4.99 per month
  • 4
    Kastra

    Kastra

    Kastra

    Kastra is the authorization layer for AI systems, deciding what agents, models, and AI tools are allowed to do before they do it. It sits in the execution path of every prompt, tool call, shell command, database operation, and API request, evaluates each action against deterministic, attribute-based policy, and returns an allow, deny, redact, or escalate decision in under a millisecond. Unlike monitoring products that observe AI after it acts, Kastra blocks unauthorized behavior before it reaches a tool, API, database, or production system. Its unified control plane combines a policy engine, edge decision points, integrations, and a tamper-evident evidence vault that signs every decision for audit and replay. Kastra Edge brings local enforcement to developer machines, protecting Claude Code, Cursor, Codex CLI, and other coding agents from destructive commands, secret exfiltration, unsafe file writes, and unauthorized tool use.
    Starting Price: $19.99 per month
  • 5
    AI Security Guard

    AI Security Guard

    AI Security Guard

    AI Security Guard is a multi-faceted platform for securing autonomous AI, combining a protection SDK, product tooling, education, and original research on the agentic future. - Protection SDK: Integration-friendly API wrapper designed to shield AI agents from jailbreaks, prompt injection, and other harmful content before it reaches your models. - AgentGuard360: Built on the API: Intercepts AI traffic in real time before malicious content reaches your agents. Two-tier content scanning, supply chain protection, and device hardening in one tool. Privacy-first: Content stays local unless you request premium analysis. - Research: Original analysis on the autonomous AI future and the security, privacy, and safety issues that follow, including reports like Shipping the Future.
  • 6
    Constellation Gate AI

    Constellation Gate AI

    Constellation Gate AI

    Constellation Gate AI is a drop-in defense layer for AI agents, built to sit between the agent and the model while screening every request for attacks and leaks. Gate acts as an inline gateway for coding agents and model APIs, protecting workflows without requiring major code changes. Users can point existing tools such as Claude Code, Cursor, OpenClaw, Codex, or OpenCode at Gate and inherit prompt-injection defense, secret scanning, PII redaction, token optimization, and a verifiable audit trail. The platform is designed around three real risks: prompt injection, credential and PII leakage, and hijacked tool calls. Instead of relying on the model to defend itself, Gate blocks attacks before they reach the model, redacts secrets before responses return, and stops attacker-controlled tool outputs before an agent acts on them. Gate accepts the same calls an agent already makes, forwards them to the model, scans every call and response in both directions.
  • 7
    AgentKey

    AgentKey

    AgentKey

    AgentKey connects your AI agents to the world with one key for the external data they need to do real work. Your agent may know what to do, but to actually do it, they need to find the right API, get the right access, and handle every service. AgentKey handles that layer so the agent can search widely, read pages, pull social takes, and add finance, ecommerce, business, crypto, or on-chain context in one pass. Built for Claude Code, Codex, Cursor, Windsurf, Gemini CLI, OpenClaw, Hermes, Antigravity, Warp, and any platform that supports MCP or Skills files, AgentKey gives agents access to search, scraping, social media, finance, ecommerce, cryptocurrency, and business data without forcing users to juggle separate provider dashboards. Search routes include services like Brave Search, Tavily, Serper, Perplexity, Parallel, and Exa, while scraping routes use tools such as Firecrawl, Jina, and Bright Data to turn web pages into usable content.
    Starting Price: $9.90 per month
  • 8
    AgentSky

    AgentSky

    AgentSky

    AgentSky is a managed agent-as-a-service platform for launching long-lived, always-on AI agents in the cloud with no Mac mini, setup, or infrastructure to manage. Users can choose an agent harness such as Claude Code, Codex, Hermes, or OpenClaw, pair it with a supported model, add capabilities, and launch in one click. Agents can be reached through WhatsApp, iMessage, Telegram, Slack, Discord, web chat, the A2A protocol, and the CLI, with the same history, tools, and state following them across channels. Local Claude Code, Codex, or OpenClaw setups can be cloned to the cloud while preserving instructions, model configuration, and MCP servers without copying secrets, API keys, or session history. Every agent runs as a managed worker with durable state, continuous history, snapshots, backups, restore, and an isolated sandbox that boots with only the attached tools.
    Starting Price: $3 per month
  • 9
    Snapper

    Snapper

    Snapper

    Snapper is an AI agent security platform designed to provide end-to-end governance and protection for organizations deploying AI agents across applications, networks, and systems. It delivers runtime enforcement by evaluating every agent action, including tool calls, API requests, and data access, before execution through a policy-driven rule engine with multiple enforcement layers. It offers unified visibility into AI usage by monitoring network traffic, browser activity, DNS, and processes to detect unauthorized tools and “shadow AI,” while also intercepting outbound LLM requests through SDK wrappers and a network proxy to evaluate, redact, and log sensitive data in real time. Snapper includes advanced threat detection capabilities that identify prompt injection, exploit chains, anomalous behavior, and multi-step attack patterns using behavioral baselines, kill chain tracking, and composite trust scoring.
  • 10
    Preloop

    Preloop

    Preloop

    Preloop is the open source AI agent control plane for agents that take real actions. It combines an MCP firewall for tool access, an AI model gateway for cost, safety, and attribution, policy-as-code with human approvals, runtime session observability, and audit trails in a single self-hostable platform. AI agents can deploy code, change infrastructure, move money, touch production data, and burn model spend in seconds, so Preloop helps teams control what agents can do, how much they spend, and which actions require human approval. It works with OpenClaw, Hermes, Claude Code, Codex CLI, Cursor, Gemini CLI, Windsurf, Cline, OpenCode, and any MCP-compatible agent or managed runtime. Access rules can inspect arguments and context, not just tool names, with CEL expressions for fine-grained conditions. Teams can start with observability, then layer in approvals and deny rules without SDKs or invasive app changes.
    Starting Price: $290 per month
  • 11
    Onyx Security

    Onyx Security

    Onyx Security

    Onyx is a secure AI control plane for discovering, protecting, governing, optimizing, and measuring AI agents and models across the enterprise. It gives security, governance, and AI teams visibility into sanctioned and shadow AI across SaaS, cloud, endpoints, and code, including prompts, responses, and agent actions. AI Security helps strengthen posture, identify vulnerabilities, and enforce real-time safeguards against threats and misuse, while AI Governance supports security standards and regulatory requirements with opt-in coverage and policy controls defined in natural language. AI Orchestration reduces friction when setting up agents and MCPs and helps optimize for cost, accuracy, and latency. AI ROI measures adoption, sets goals, and tracks outcomes across departments. The Onyx Guardian Agent acts as a supervisory AI that continuously identifies risks and remediates issues across the platform, helping organizations manage large numbers of agents at scale.
  • 12
    AIM Intelligence

    AIM Intelligence

    AIM Intelligence

    AIM Intelligence is an enterprise AI security platform built to keep AI under control as agents make decisions, call APIs, and take actions across real business systems. It attacks AI before real attackers do and enforces real-time guardrails to keep every agent operating within enterprise policies. Its integrated solutions cover automated AI red teaming, real-time guardrails, and security framework consulting, helping organizations resolve complex AI risks across the full development and production lifecycle. Stinger automates AI vulnerability discovery by generating millions of attack scenarios, supporting end-to-end agentic red teaming beyond prompt-level attacks, testing across text, image, audio, video, and physical AI, and enabling business logic-based custom vulnerability testing. Starfort enforces real-time AI guardrails by detecting and protecting sensitive data such as PII and trade secrets, controlling abnormal API calls from autonomous agents.
  • 13
    EverOS

    EverOS

    EverMind

    EverOS is a persistent memory infrastructure platform for AI agents that provides long-term, multimodal, cross-platform context across agent workflows. The system retrieves relevant memories before model calls, allowing agents to reuse prior context without repeatedly loading large histories into the prompt window. EverOS also includes self-evolving skills, which capture successful execution trajectories as cases and promote recurring patterns into reusable procedural knowledge. The platform can ingest PDFs, images, documents, spreadsheets, slides, Markdown, and URLs and convert them into searchable memory for inference-time retrieval. It supports cloud and self-hosted deployment, exports memories in Markdown, and integrates with tools such as Claude Code, Codex, OpenClaw, Hermes, MCP, and OpenAI- or Anthropic-compatible SDKs.
    Starting Price: Free
  • 14
    Spawn

    Spawn

    OpenRouter

    Spawn is an experimental OpenRouter tool for deploying AI coding agents on your own infrastructure with a single command. Pick an agent, choose a cloud, and Spawn provisions a virtual machine, installs the agent and its dependencies, authenticates to OpenRouter and the cloud using a CLI OAuth flow, configures endpoints and model routing, and then opens an SSH session so you can start working. Each agent-and-cloud combination is implemented as a self-contained script, avoiding Terraform and YAML while keeping deployment portable. Supported agents include Claude Code, OpenClaw, Codex CLI, OpenCode, Kilo Code, Hermes Agent, Junie, Pi, Cursor CLI, and T3 Code, making it easy to explore coding-agent workflows or switch between them with one command. Spawn supports cloud environments such as DigitalOcean, Sprite, Hetzner Cloud, AWS Lightsail, GCP Compute Engine, and Daytona, as well as a local machine or a throwaway local Docker sandbox.
  • 15
    Showly

    Showly

    Showly

    Showly is a website hosting platform for sites created with AI agents, giving agent-generated work a polished place to preview, publish, share, and manage. Users describe what they want to build in the coding agent they already use, such as a report, research page, presentation, documentation site, portfolio, landing page, prototype, or product specification, and the agent creates the page while Showly handles hosting and publishing. It connects through MCP and works with Claude Code, Codex, Cursor, OpenClaw, Hermes Agent, and other compatible agents, allowing users to publish without leaving their existing workflow. Every change appears first as a private preview, so users can review the exact page, request revisions, and decide when it goes live. Published work receives a stable, shareable web link, and version history makes it possible to restore an earlier published version when needed. Showly can also turn existing output into live pages by accepting content.
    Starting Price: $12 per month
  • 16
    Flint AI

    Flint AI

    SandboxAQ

    Flint AI is a local-first, framework-agnostic AgentOps CLI that helps developers determine whether an AI agent is reliable before it reaches production. One command, flintai scan, analyzes Python source code for security vulnerabilities, misconfigurations, risky tool access, missing guardrails, and quality issues, then uses AI reasoning to triage likely false positives. A second command, flintai eval, sends functional and adversarial prompts to a running agent and scores its responses across more than 35 built-in evaluations, including factual accuracy, instruction adherence, prompt injection resistance, jailbreak resilience, and other runtime behaviors. Each agent receives a reliability score, with findings mapped to OWASP Agentic Security Initiative risks ASI01 through ASI10 and severity scored using CVSS v4.0. Flint AI works with agent frameworks and SDKs including Claude Agents SDK, LangChain, CrewAI, Anthropic SDK, OpenAI SDK, MCP servers, and AutoGen.
    Starting Price: Free
  • 17
    TrojAI

    TrojAI

    TrojAI

    TrojAI is an AI security platform that helps organizations deploy and manage AI agents and applications with greater confidence and protection. The platform focuses on identifying vulnerabilities, preventing prompt injection attacks, safeguarding sensitive data, and securing AI behavior across enterprise environments. TrojAI provides both build-time and runtime security solutions that help organizations assess AI models and protect applications from emerging threats. Its technology continuously monitors AI interactions to detect unsafe actions, unauthorized access attempts, and malicious manipulations. The platform supports compliance with leading security frameworks and standards while integrating across different models, cloud providers, and enterprise infrastructures. Designed for enterprise-scale deployments, TrojAI enables organizations to innovate with AI while maintaining strong governance and security controls.
  • 18
    AgentShield

    AgentShield

    AgentShield

    AgentShield is a next-generation identity platform built to verify both human users and AI agents acting on their behalf. It enables organizations to confirm who an agent is, whether the person behind the agent has provided explicit authority, and that the agent is trustworthy, all through APIs and JavaScript integrations. The product includes tools that detect agentic sessions on a website. and enforces identity and permission checks for agent-to-agent or agent-to-service interactions under the open Model Context Protocol Identity (MCP-I) specification. With KYA, businesses can securely manage agent identities and permissions, institute audit-trails, automation workflows, and finely-tuned access control for autonomous systems, thereby protecting themselves from misuse of digital identities and ensuring transparency when AI systems act on behalf of users.
  • 19
    Pillar Security

    Pillar Security

    Pillar Security

    Pillar Security is a unified AI security platform for securing the agentic workforce across the entire AI lifecycle, from development to deployment and runtime protection. It connects business context across discovery, testing, and protection so security intelligence compounds across AI applications, agents, models, prompts, frameworks, tools, MCP servers, skills, coding agents, SaaS, cloud, code, and endpoints. Pillar helps organizations discover and manage AI assets everywhere, including shadow AI and unapproved systems, assess supply chain and posture risks, map agentic attack surfaces, and validate the vulnerabilities that actually matter. Its AI Security Posture Management capabilities analyze connected agents, tools, permissions, data sources, prompts, models, and supply chain components to expose risky paths, policy violations, misconfigurations, coding agent risks, and blast radius when a single component is compromised.
  • 20
    General Analysis

    General Analysis

    General Analysis

    General Analysis is an AI security platform that helps security teams adversarially test, monitor, and protect AI agents and systems in production. It is built to help organizations understand AI risk, prevent incidents, and secure real AI deployments across employee copilots, coding agents, customer support agents, healthcare assistants, legal assistants, financial copilots, creative pipelines, and other agentic workflows. It maps AI applications and agents across prompts, retrieval, tools, MCP servers, browser actions, permissions, repositories, cloud accounts, SaaS workflows, and business processes, then generates context-aware attacks that expose system-level risks. Its automated red teaming uses attacker models that adapt to target responses and produce multi-step exploit chains, helping teams uncover vulnerabilities that static prompt sets or endpoint-only tests may miss.
  • 21
    Enkrypt AI

    Enkrypt AI

    Enkrypt AI

    Enkrypt AI is an enterprise AI security, compliance, and governance platform purpose-built to secure LLMs, AI agents, multimodal systems, and MCP workflows. Serving enterprises in finance, healthcare, insurance, and government, Enkrypt AI helps organizations ship fast, ship safe, and stay ahead. The platform covers the full AI security lifecycle: Guardrails: Ultra-low latency (sub-50ms) policy-based guardrails prevent prompt injection, sensitive data exposure, unsafe outputs, and non-compliant agent behavior in real time. Red Teaming: Policy-driven, multimodal attack simulation across LLMs and AI agents before deployment. MCP Security: MCP Scan Hub and Secure MCP Gateway protect MCP servers, tools, and agent toolchains end-to-end. Compliance: Continuous monitoring against NIST AI RMF, OWASP LLM Top 10, EU AI Act, HIPAA, and FINRA. ISO 27001 & SOC 2 Type II certified. Gartner Cool Vendor 2025.
  • 22
    Amplify Security

    Amplify Security

    Amplify Security

    Amplify Security created the agentic security harness, a new category of application security built for how software is actually written now, including the surge of AI-generated code. Rather than flagging problems after the fact, Amplify works autonomously inside the CI/CD pipeline to surface and remediate vulnerabilities before they ship. It deploys in the cloud or on-premises and fits existing developer workflows, giving security and engineering teams coverage that keeps pace with modern, high-velocity development.
  • 23
    Lasso Security

    Lasso Security

    Lasso Security

    Lasso is an AI security platform designed to help enterprises securely adopt, govern, and protect AI agents and applications throughout their lifecycle. The platform provides capabilities for AI discovery, risk assessment, automated red teaming, runtime protection, and AI detection and response within a unified solution. Organizations can inventory AI assets, map models and system prompts, monitor policy compliance, and gain visibility into AI usage across the enterprise. Lasso focuses on intent-based security, analyzing the behavior and objectives of AI systems rather than relying solely on traditional rule-based approaches. Its platform helps organizations address risks such as prompt injection, model vulnerabilities, unauthorized AI usage, and evolving threats targeting agentic systems. By combining governance, security monitoring, and proactive protection, Lasso enables enterprises to scale AI adoption while maintaining strong security and compliance standards.
  • 24
    SEAOTTER

    SEAOTTER

    SEAOTTER

    SEAOTTER is a managed control plane for Hermes Agent on Google Cloud. Isolated, always-on agents. No VPS. No SSH. You create an agent in the dashboard. SEAOTTER provisions a per-agent namespace with a gVisor sandbox, typically in a few minutes. Pause, restart, restore, and reprovision from the API or UI. Logs and metrics included. You do not SSH into a box. Secrets go in a write-only tab and are stored in Google Secret Manager. Hermes loads them at startup. Do not paste keys into chat. After signup, connect with an org-scoped so_ MCP key from Cursor, Claude, or Codex. Hermes is the live harness: tools, memory, cron. us-central1 is live. 7-day trial, no credit card, one agent only (1 CPU / 4Gi / 8Gi). Then $99 per always-on agent / month. Extra agents after convert at +$99. Custom is book-a-call.
    Starting Price: $99
  • 25
    Agent Control

    Agent Control

    Agent Control

    Agent Control is the open source control plane for AI agents, built to establish a new standard for governing agent behavior at scale. It solves the problem of scattered, hardcoded checks by giving teams a centralized governance layer with step-level enforcement that can be managed from a single control plane and updated in real time without touching agent code. Developers can make any function governable by adding the control() decorator, turning meaningful decision points inside an agent into independently governed control points with their own policies. When a decorated function executes, Agent Control evaluates the input or output against the active policy and returns a decision: deny, steer, warn, log, or allow. If the decision is denied, the SDK raises a ControlViolationError before the unsafe action can proceed. Policies are decoupled from code, so developers decide where to place control hooks while policy teams decide what those hooks enforce.
    Starting Price: Free
  • 26
    Darktrace / SECURE AI
    Darktrace / SECURE AI is an AI security solution that brings every AI interaction across an organization into a single view, helping teams understand intent, assess risk, protect sensitive data, and support policy alignment. It monitors prompts, sessions, and responses in real time across enterprise GenAI tools such as Microsoft Copilot and ChatGPT Enterprise, low-code environments including Microsoft Copilot Studio, high-code platforms such as Amazon Bedrock and SageMaker, SaaS applications, and SASE. Behavioral analytics distinguish normal, business-aligned activity from significant or risky deviations, detecting conversational prompt attacks, malicious chaining, and unsafe actions without relying only on historical attack patterns. Darktrace learns directly from the environment it protects, allowing it to identify novel and AI-related threats on first encounter.
  • 27
    Tragentics

    Tragentics

    Tragentics

    Tragentics is the AI agent security platform that authenticates every agent, injects keys from an encrypted Credential Vault so agents never hold them, routes every call through a content-blind relay, and records a metadata-only audit trail — across platforms and protocols. Tragentics runs no inference and executes no agent logic. It never reads or stores what your agents say. Every agent gets a permanent ID and an Ed25519 identity, keys are encrypted at rest with AES-256-GCM, and every call is authenticated, rate-limited, and recorded as metadata only — never payloads. Protocol-agnostic: it routes MCP, A2A, ACP, OpenAI, ANP, and DID traffic for the agents you already own.
    Starting Price: $39/month
  • 28
    Dograh

    Dograh

    Dograh

    Dograh is an open source, self-hostable voice agent platform with a no-code workflow builder for creating production voice agents. Teams can choose their own inbound channels, speech-to-text, LLM, text-to-speech, and telephony providers, or replace the traditional cascade with speech-to-speech models for direct audio-in, audio-out conversations with natural turn-taking, interruption handling, and low latency. The platform supports inbound and outbound calling, widgets, telephony integrations, observability, traces, real-time analytics, hybrid pre-recorded voice plus TTS, and more than 70 languages. Its MCP server lets Claude Code, Cursor, OpenClaw, Codex, and other agent runtimes create, modify, and deploy voice agents directly from development environments. Dograh can run on your own servers, inside a private cloud or VPC, or in a managed environment, with support for models hosted entirely within your perimeter.
    Starting Price: 1¢ per minute
  • 29
    MemClaw

    MemClaw

    Caura AI

    MemClaw is a persistent-memory service for LLM-based agents and a governed shared memory layer for agent fleets. It is designed to help AI agents learn from each other by turning isolated agent context into a Company Brain with memory, governance, provenance, contradiction detection, and visibility scopes built in from day one. MemClaw separates an organization’s agent force, including tenants, fleets, nodes, and agents, from the governed memory plane through MCP Server, REST API, OpenClaw plugin, MemClaw Core, and persistent storage. Agents can write to and recall from the Company Brain through MCP-compatible tools, direct HTTPS calls, or OpenClaw integration, while MemClaw Core runs enrichment such as entity extraction, contradiction detection, PII scanning, and lifecycle transitions before anything is stored. Every memory can be stamped with a visibility scope, auto-classified into types such as fact, episode, decision, preference, rule, plan, commitment, action, and outcome.
    Starting Price: $49 per month
  • 30
    F5 AI Guardrails
    F5 AI Guardrails is a runtime AI security solution designed to protect AI models, applications, agents, and connected data throughout deployment and operation. The platform helps organizations defend against adversarial threats such as prompt injection, jailbreak attacks, harmful outputs, and unauthorized AI behavior. It provides real-time monitoring and enforcement of security policies to prevent data leakage, compliance violations, and misuse of AI systems. Organizations can implement predefined guardrails or create customized policies tailored to specific business requirements and AI use cases. The platform also delivers observability, auditing, and governance capabilities that help organizations maintain visibility into AI interactions and regulatory compliance. By combining threat protection, data security, and AI governance, F5 AI Guardrails helps enterprises operate AI systems more safely and responsibly.
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    Pi

    Pi

    Pi Security

    Pi is an agentic product security platform that builds institutional security memory so organizations can find, fix, and prevent recurring vulnerabilities without slowing development. It continuously ingests codebases, past incidents, pentest reports, tickets, and other security history into a living inventory, giving the system context about how the organization builds and secures software. When a vulnerability is found, Pi traces it to its architectural root cause, searches for variants across the codebase, and helps close the entire class of issue rather than treating each finding independently. Remediation is generated in the context of the organization’s languages, architecture, and conventions, then delivered directly into developer workflows. What the system learns becomes prevention guardrails that can be applied in IDEs and pull requests during design and coding, blocking known insecure patterns before they reach production.
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    Superpowers

    Superpowers

    Superpowers

    Superpowers is an open-source software development methodology and skills framework designed to improve how coding agents plan, build, test, and review software. The project gives AI coding tools a structured workflow that helps them clarify requirements before writing code. It supports agents such as Claude Code, Codex CLI, Codex App, Factory Droid, Gemini CLI, OpenCode, Cursor, and GitHub Copilot CLI. Superpowers guides agents through brainstorming, design approval, implementation planning, test-driven development, subagent-driven execution, code review, and branch completion. Its skills library emphasizes red-green-refactor testing, systematic debugging, isolated git worktrees, verification, and evidence-based completion. Superpowers helps developers turn AI coding agents into more disciplined engineering partners that follow repeatable processes instead of jumping straight into code.
    Starting Price: Free
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    AgentScreenshots

    AgentScreenshots

    AgentScreenshots

    AgentScreenshots gives AI coding agents a practical visual feedback loop for frontend development. The `agentshot` CLI captures screenshots of localhost, preview, staging, or production pages, saves PNGs into your project, and lets the agent inspect the rendered pixels before claiming the UI is done. It is built for Claude Code, Codex, Cursor, OpenCode, and other coding agents.
    Starting Price: €5/month
  • 34
    Gemini Managed Agents
    Gemini Managed Agents provides a visual way to prototype and learn how to build managed agents without having to create and write API calls. Managed agents on the Gemini API give developers a configurable agent harness where a single API call provisions a secure Linux sandbox for the agent to reason, execute code, manage files, and browse the web autonomously. In AI Studio Playground, users can switch to the Agents tab and start from pre-built templates that configure the base Antigravity Agent with tools, environment settings, instructions, and skills. The Antigravity Agent is a general-purpose managed agent powered by Gemini 3.5 Flash, able to run code, manage files, search the web, and be extended with custom instructions, skills, and data. Agent behavior, persona, and capabilities are defined through files in the environment, including AGENTS.md for system instructions and persona, and SKILL.md files for specific capabilities and workflows.
    Starting Price: $1.50 per 1M tokens
  • 35
    Google Antigravity
    Google Antigravity is an agentic development platform that reimagines the traditional IDE for the AI-first era. Designed for developers of all levels, it enables seamless collaboration between humans and intelligent agents across the editor, terminal, and browser. The platform allows developers to issue natural language commands, monitor autonomous coding workflows, and review generated artifacts—all from a unified interface. Antigravity introduces cross-surface agent synchronization, ensuring consistency and context sharing across multiple workspaces. Its mission control view lets users manage and refine multiple agents simultaneously, making complex development tasks faster, smarter, and more intuitive. Whether you’re building enterprise-scale systems or experimenting creatively, Google Antigravity elevates the development experience into a new era of agent-driven productivity.
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    SuperBased

    SuperBased

    SuperBased

    SuperBased is a local-first control plane for AI coding agents that lets developers see, control, and right-size agent activity from one binary running on their own machine. It reads native session data from 40 coding tools without requiring a proxy, SDK rewrite, or special configuration, supporting agents such as Claude Code, Codex, Cursor, GitHub Copilot, OpenCode, Gemini CLI, Kilo Code, Qwen Code, Aider, Devin, and others. The dashboard tracks provider-reported token usage, cache reads and writes, costs, sessions, and projected next-message spend across tools that normally keep their data separate. Developers can also launch more than 20 CLI agents as terminal sessions, monitor several repositories from one screen, attach to a running agent, take over the keyboard, and hand control back when needed. Model routing helps teams match tasks to appropriate models, while egress gates can hold commands before execution so users can stop or redirect costly or risky actions.
    Starting Price: $0.90 per month
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    Stakpak

    Stakpak

    Stakpak

    Stakpak is an open source AI DevOps agent built in Rust that runs in your terminal, CI/CD pipelines, or cloud environment to help you secure, deploy, and maintain production-ready infrastructure with intelligent automation and deep contextual awareness. It provides key capabilities such as incident handling to quickly identify root causes and implement fixes, cloud cost analysis with instant optimization insights, IAM security automation for reviewing and generating secure policies and audit scripts, and application containerization that automates the creation of well-tested, documented Dockerfiles. Stakpak works with your existing tools like Terraform, AWS, Kubernetes, Azure, and Docker while learning from your infrastructure to offer contextually relevant recommendations. It includes security-hardened features that detect and redact over 210 types of secrets and ships with a deterministic guardrail enforcer (Warden) to prevent destructive operations in production.
    Starting Price: Free
  • 38
    CyCraft XecGuard
    XecGuard is CyCraft’s LLM Firewall for trustworthy, agentic AI, designed to protect enterprise AI systems from prompt injection, jailbreak, prompt extraction, data leakage, unsafe outputs, and agentic workflow risks. Built on CyCraft’s red teaming and blue teaming experience across government, finance, and high-tech manufacturing, XecGuard goes beyond model-level defenses by combining AI guardrails, cybersecurity controls, compliance protection, and risk response strategies for real-world enterprise AI adoption. It is positioned as a plug-and-play LoRA security module that can strengthen LLM defenses without requiring changes to the underlying model architecture, helping teams add protection quickly while preserving performance. XecGuard is built on proprietary security datasets and multi-stage fine-tuning techniques, enabling LLMs to better resist adversarial prompts, malicious manipulation, and attempts to extract protected instructions or sensitive information.
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    Agentcard

    Agentcard

    Agentcard

    Agentcard gives AI agents a safe way to pay for things online by issuing disposable virtual Visa cards built for agent workflows. Instead of sharing a real card in chat or making a human finish checkout, users can create single-use cards with fixed spend limits that self-destruct after one authorized payment. Agentcard is designed around control: a human approves every card and every charge, real card details are never shared with the agent, and users receive notifications when an agent tries to create a card or make a payment. It works with ChatGPT, Claude Desktop, Claude Code, OpenClaw, Cursor, and MCP-compatible agents through one-click integrations, an MCP server, CLI tools, REST API, Chrome Extension, and admin tools for companies. Agents can create cards, check balances, list transactions, close cards, and use cards to complete online purchases while the user stays in control.
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    HiddenLayer

    HiddenLayer

    HiddenLayer

    Your AI algorithms represent a unique competitive advantage for your company and come at a considerable expense. A successful adversarial attack against them could cost you that advantage and you would never know it happened. HiddenLayer is the first productized solution for the next security frontier – your AI. HiddenLayer offers a drop-in software approach that provides a lightweight, real-time awareness of your model’s health and attack surface — without ever needing insight into it or the training set used to create it. Most adversarial AI security firms need to engage panels of expensive experts to take your algorithm apart and harden it from the inside, adding complexity and cost. HiddenLayer was founded by ML professionals and security specialists with first-hand experience of how insidious adversarial ML attacks can be to detect and defend against.
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    AutoClaw
    AutoClaw by AutoGLM brings Agent execution power into an IM entry point, letting users activate an AI agent avatar with one click, call professional tools autonomously, and complete complex tasks automatically inside a Feishu conversation box. It looks like chat, but it is actually an Agent execution channel: the user starts a goal in a single dialog box, AutoClaw breaks it down, executes the steps, and sends the result and context back into Feishu. The task entrance is just one conversation, not a configuration page, and not another separate task system. Once the task is launched, the agent avatar continues pushing the work forward, while local tools perform real actions and the steps and status unfold along the same track. Feishu then receives not only the final conclusion, but also the context, progress, and the next handoff point. AutoClaw supports one-click OpenClaw setup, Windows and macOS downloads, IM integration, hot-swappable models, and more than 50 skills.
    Starting Price: Free
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    GLM-5-Turbo
    GLM-5-Turbo is a high-speed variant of Z.ai’s GLM-5 model, designed to deliver efficient and stable performance in agent-driven environments while maintaining strong reasoning and coding capabilities. It is optimized for high-throughput workloads, particularly long-chain agent tasks where multiple steps, tools, and decisions must be executed in sequence with reliability and low latency. It supports advanced agentic workflows, enabling systems to perform multi-step planning, tool calling, and task execution with improved responsiveness compared to larger flagship models. GLM-5-Turbo inherits core capabilities from the GLM-5 family, including strong reasoning, coding performance, and support for long-context processing, while focusing on optimization of core requirements such as speed, efficiency, and stability in production environments. It is designed to integrate with agent frameworks like OpenClaw, where it can coordinate actions, process inputs, and execute tasks.
    Starting Price: Free
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    ClawSimple

    ClawSimple

    Localfirst LLC

    ClawSimple is a managed hosting service for OpenClaw, the open‑source personal AI agent. It lets you launch a dedicated OpenClaw bot in minutes without touching the terminal. ClawSimple automatically provisions a clean cloud server, runs the official installer, and keeps your agent online with 24/7 monitoring and an autonomous “Repair Agent” you can control via Telegram. You can start with built‑in AI credits or bring your own API keys for full model and cost control. Multiple agents can run on a single server, each with its own Telegram bot, identity, and model. ClawSimple focuses on secure, single‑tenant deployments, clear pricing, and a smooth setup flow so developers and non‑technical users can get a reliable OpenClaw bot running quickly and scale when needed.
    Starting Price: $4.92/month (billed yearly)
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    blume

    blume

    blume

    Blume is a desktop sidecar for AI coding agents that helps developers see what every agent is doing, keep project context consistent, and catch drift before it reaches the codebase. It works with tools including Cursor, Claude Code, Codex, omp, and Pi, bringing agent activity, hidden files, skills, hooks, rules, and provider usage into one place. The Agents view shows whether each coding agent is working, finished, or waiting for approval, while Setup exposes the instructions and configuration files shaping agent behavior. Usage tracking shows remaining plan limits and token burn across providers such as Claude, Codex, and Cursor so developers can avoid unexpected interruptions. Blume stores conversation history locally on the device and reviews rules, skills, and hooks on-device. Its Improve workflow looks for repeated signals of friction across conversations, clusters similar issues, and proposes concrete changes such as new rules or reusable skills.
    Starting Price: Free
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    Deployxa

    Deployxa

    Deployxa

    Deployxa is an AI-first cloud platform (PaaS) built for developers shipping apps created with AI assistants (Cursor, Claude Code, v0, Bolt.new). Connect your repository (GitHub, GitLab, Bitbucket) and Deployxa automatically detects your framework (Next.js, React, FastAPI, Laravel, Express, Django), builds hardened OCI containers, provisions managed PostgreSQL/MySQL databases, issues edge SSL, and delivers a live URL in ~60 seconds. Key Features: • Zero-config automatic framework & runtime detection • Native hosting for Model Context Protocol (MCP) servers & AI agents • 1-second instant rollbacks & zero-downtime deployments • Live container stdout/stderr log streaming with AI diagnostics • AES-256 hardware-backed secret management • Official CLI (@deployxa/cli) and VS Code Extension
    Starting Price: $9/month
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    Secure Traces

    Secure Traces

    Secure Traces

    Secure Traces is an AI-first enterprise technology company focused on agentic AI, healthcare and pharmaceutical modernization, cybersecurity, cloud infrastructure, and enterprise applications. Its services include autonomous AI agents, LLM pipelines, AI governance, 24/7 security operations, threat hunting, secure cloud modernization, Oracle platforms, and operational technology security. The company also develops healthcare, pharmacy, payer, and insurance technology solutions designed for regulated environments. Secure Traces supports HIPAA and GxP-aligned workflows and provides cybersecurity services mapped to frameworks such as MITRE. Its delivery model covers assessment, strategy, implementation, monitoring, response, and continuous optimization across complex enterprise environments.
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    Humatron AI

    Humatron AI

    Humatron AI

    Humatron is an enterprise AI workforce platform that turns AI agents into secure, trusted, vendor-neutral AI workers that operate across teams, tools, and business workflows. Organizations can build, hire, customize, onboard, train, monitor, and govern AI workers from a single control plane, managing them more like digital employees than standalone assistants. Each worker can be powered by modern core agents such as Claude, OpenAI, Manus, OpenClaw, Hermes, Cursor, or custom agentic systems, allowing companies to mix or replace underlying models without changing the workforce layer. AI workers can act autonomously, initiate and complete tasks, collaborate across teams, learn new skills, and interact through existing channels such as email, Slack, Teams, Zoom, and phone. Builds define reusable tools, rules, behaviors, and agent integrations, while each hired worker becomes an isolated instance customized for a specific company, team, and job.
    Starting Price: $1 for 100 credits
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    MyClaw

    MyClaw

    MyClaw

    MyClaw is a managed cloud hosting platform for OpenClaw (formerly Clawdbot/Moltbot) that delivers a personal AI assistant running 24/7 with zero setup or DevOps required, letting users deploy a fully private, always-on instance of the open-source AI agent in minutes without technical configuration. It gives you your own dedicated AI agent in an isolated container that’s online around the clock, with updates, scaling, maintenance, security, and backups handled for you so you can simply log in and use it. The underlying OpenClaw assistant is a powerful open source AI capable of interacting with your digital environment, controlling applications, automating workflows, managing files, browsing the web, triaging email, automating repetitive tasks, and executing developer-oriented jobs like reviewing and refactoring code based on natural language instructions.
    Starting Price: $19 per month
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    Superagent

    Superagent

    Superagent

    Superagent is an open source AI safety and agent development platform that helps developers and organizations build, deploy, and protect AI-driven applications and assistants by embedding safety guardrails, runtime security, and compliance controls into agent workflows. It provides purpose-trained models and APIs (such as Guard, Verify, and Redact) that block prompt injections, malicious tool calls, data leakage, and unsafe outputs in real time, while red-teaming tests probe production systems for vulnerabilities and deliver findings with remediation guidance. Superagent integrates with existing AI systems at inference and tool-call layers to filter inputs/outputs, remove sensitive data like PII/PHI, enforce policy constraints, and stop unauthorized actions before they occur, offering unified observability, live trace logs, policy controls, and audit trails for security and engineering teams.
    Starting Price: Free
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    nono

    nono

    Always Further

    nono is an open source, kernel-enforced sandbox for AI coding agents and LLM workloads. Unlike policy-based guardrails that intercept and filter operations, nono uses OS security primitives — Landlock on Linux and Seatbelt on macOS — to make unauthorised operations structurally impossible at the syscall level. Wrap any AI agent — Claude Code, OpenCode, OpenClaw, or any CLI process — with a single command. nono applies default-deny filesystem access, blocks destructive commands (rm, dd, chmod, sudo), isolates credentials and API keys, and cascades all restrictions to child processes. No escape mechanism exists once restrictions are applied. Built-in profiles get you running in seconds. Secrets inject securely from the system keystore and are zeroised on exit. Audit logging, atomic rollbacks, and Sigstore-attested policy signing are on the roadmap. Apache 2.0. From the creator of Sigstore.