Alternatives to Vulnify

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

  • 1
    Netra

    Netra

    Netra

    AI agents fail silently in production. Wrong answers, broken loops, cost spikes, behavior drift after a prompt change, and no stack trace to explain why. Netra is the single platform to trace, evaluate, simulate and security test your agents. Built for text, voice, image and video agents. SOC2 Type II certified. GDPR and HIPAA compliant. US and EU data residency. Integrates with: LangChain, LangGraph, CrewAI, LlamaIndex, OpenAI, Anthropic, Gemini, AWS Bedrock, and 30+ more.
    Starting Price: $39/month
  • 2
    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
  • 3
    LangChain

    LangChain

    LangChain

    LangChain is a powerful, composable framework designed for building, running, and managing applications powered by large language models (LLMs). It offers an array of tools for creating context-aware, reasoning applications, allowing businesses to leverage their own data and APIs to enhance functionality. LangChain’s suite includes LangGraph for orchestrating agent-driven workflows, and LangSmith for agent observability and performance management. Whether you're building prototypes or scaling full applications, LangChain offers the flexibility and tools needed to optimize the LLM lifecycle, with seamless integrations and fault-tolerant scalability.
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    LangGraph

    LangGraph

    LangChain

    Gain precision and control with LangGraph to build agents that reliably handle complex tasks. Build and scale agentic applications with LangGraph Platform. LangGraph's flexible framework supports diverse control flows – single agent, multi-agent, hierarchical, sequential – and robustly handles realistic, complex scenarios. Ensure reliability with easy-to-add moderation and quality loops that prevent agents from veering off course. Use LangGraph Platform to templatize your cognitive architecture so that tools, prompts, and models are easily configurable with LangGraph Platform Assistants. With built-in statefulness, LangGraph agents seamlessly collaborate with humans by writing drafts for review and awaiting approval before acting. Easily inspect the agent’s actions and "time-travel" to roll back and take a different action to correct course.
    Starting Price: Free
  • 5
    Crewship

    Crewship

    Crewship

    Crewship is the developer-first platform for deploying AI agent workflows. Deploy your CrewAI, LangGraph, and LangGraph.js agents with a single command and watch them execute in real-time. Key features include one-command deployment, real-time execution streaming, artifact management, auto-scaling, version control, and encrypted secrets management. Crewship handles infrastructure so developers can focus on building great AI agents. Multi-framework support with AutoGen, Pydantic AI, smolagents, OpenAI Agents, Mastra, and Agno coming soon.
    Starting Price: Free
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    SerpKite

    SerpKite

    Anastasia Klimova

    SerpKite is a hosted Google search and web-data API for developers building AI agents, RAG pipelines, research tools, SEO workflows and applications that need current search results. A single API provides web, news, image, video, maps, places, reviews, shopping, Scholar, patents and autocomplete results, alongside webpage-to-Markdown conversion, URL extraction, site mapping, asynchronous crawling and scheduled monitors. Responses are available as structured JSON, compact JSON or Markdown for use in applications and language-model workflows. The service includes TypeScript, Python and Go SDKs, a remote Model Context Protocol (MCP) server, and documented integrations for LangChain, CrewAI, LlamaIndex and Vercel AI SDK. It offers prepaid credit packs that do not expire, as well as a free tier with signup and recurring monthly credits; failed and empty requests are not billed.
    Starting Price: $10 one-time
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    LangMem

    LangMem

    LangChain

    LangMem is a lightweight, flexible Python SDK from LangChain that equips AI agents with long-term memory capabilities, enabling them to extract, store, update, and retrieve meaningful information from past interactions to become smarter and more personalized over time. It supports three memory types and offers both hot-path tools for real-time memory management and background consolidation for efficient updates beyond active sessions. Through a storage-agnostic core API, LangMem integrates seamlessly with any backend and offers native compatibility with LangGraph’s long-term memory store, while also allowing type-safe memory consolidation using schemas defined in Pydantic. Developers can incorporate memory tools into agents using simple primitives to enable seamless memory creation, retrieval, and prompt optimization within conversational flows.
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    FastAgency

    FastAgency

    FastAgency

    FastAgency is an open source framework designed to accelerate the deployment of multi-agent AI workflows from prototype to production. It provides a unified programming interface compatible with various agentic AI frameworks, enabling developers to deploy agentic workflows in both development and production settings. With features like multi-runtime support, seamless external API integration, and a command-line interface for orchestration, FastAgency simplifies the creation of scalable, production-ready architectures for serving AI workflows. Currently, it supports the AutoGen framework, with plans to extend support to CrewAI, Swarm, and LangGraph in the future. Developers can easily switch between frameworks, choosing the best one for their project's specific needs. FastAgency also features a common programming interface that enables the development of core workflows once and reuse them across various user interfaces without rewriting code.
    Starting Price: Free
  • 9
    Prefactor

    Prefactor

    Prefactor

    Prefactor is a real-time evaluation, observability, and reliability platform for production AI agents. It scores every run the moment it happens for quality, drift, cost, and data risk, then wires those evaluations into action so a failing agent is caught live instead of only appearing on a dashboard afterward. Teams can observe every model call, tool invocation, and decision as structured traces and spans, run LLM-as-judge, technical, qualitative, and custom evaluations on each step, and attach context from GitHub, Linear, Jira, databases, internal APIs, or other sources as ground truth. When a run crosses a defined threshold, Prefactor can block or throttle it, pause a sensitive action, or route it to a person for approval, modification, or rejection before execution, with every decision logged. The CLI discovers agents without a platform migration, while TypeScript and Python SDKs provide native support for LangChain, Claude, Vercel AI, OpenClaw, and LiveKit.
    Starting Price: $250 per month
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    Naptha

    Naptha

    Naptha

    Naptha is a modular AI platform for autonomous agents that empowers developers and researchers to build, deploy, and scale cooperative multi‑agent systems on the agentic web. Its core innovations include Agent Diversity, which continuously upgrades performance by orchestrating diverse models, tools, and architectures; Horizontal Scaling, which supports collaborative networks of millions of AI agents; Self‑Evolved AI, where agents learn and optimize themselves beyond human‑designed capabilities; and AI Agent Economies, which enable autonomous agents to generate useful goods and services. Naptha integrates seamlessly with popular frameworks and infrastructure, LangChain, AgentOps, CrewAI, IPFS, NVIDIA stacks, and more, via a Python SDK that upgrades existing agent frameworks with next‑generation enhancements. Developers can extend or publish reusable components on the Naptha Hub, run full agent stacks anywhere a container can execute on Naptha Nodes.
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    Traccia

    Traccia

    Algen AI

    Traccia is an OpenTelemetry-native observability, governance, and policy enforcement platform for production AI agents. It gives engineering teams complete visibility into every LLM call, tool invocation, decision, token, and dollar spent across frameworks like LangChain, CrewAI, OpenAI Agents SDK, AutoGen, and LlamaIndex. Beyond tracing, Traccia helps organizations govern AI systems with runtime policies that can detect and block unsafe behavior, runaway costs, restricted model usage, and PII exposure before incidents reach production. Accurate cost attribution, agent health monitoring, a unified agent registry, and EU AI Act evidence generation make it suitable for enterprise deployments. With a lightweight open-source SDK and managed platform, Traccia enables teams to build, debug, monitor, and govern AI agents at scale without vendor lock-in, using standard OpenTelemetry instrumentation.
    Starting Price: $99/month
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    Macyou

    Macyou

    Macyou LLC

    Macyou rents dedicated Apple Silicon Macs for AI workloads. Users configure a Mac (M4 Mac mini to Mac Studio M3 Ultra with 256 GB unified memory), pick a pre-configured stack — local LLMs via Ollama (Llama, Qwen, Mistral, DeepSeek), agent frameworks (CrewAI, LangGraph), or ML dev environments (MLX, Jupyter) — and get a running deployment in about 5 minutes. Every deployment exposes an OpenAI-compatible API, so existing OpenAI SDK code works by changing base_url; access also includes SSH with root and a browser-based remote desktop. Each customer gets a dedicated physical machine with full-disk encryption and a disk wipe between tenants, hosted in a GDPR-friendly jurisdiction. Pricing is a fixed monthly fee per machine with no per-token charges; Thunderbolt 5 clustering pools unified memory across nodes for larger models. Published, measured inference benchmarks (raw JSON, CC BY 4.0) show real tokens per second per chip.
    Starting Price: $79/month
  • 13
    Switch AI

    Switch AI

    Flint AI

    Switch is a collaborative workspace from Flint AI that enables humans and AI agents to work together through existing messaging platforms. The platform creates shared rooms where people, agents, decisions, files, and work history remain available as tasks move between different participants and agents. Teams can bring agents into Slack, Microsoft Teams, Discord, and Mattermost without replacing their existing communication workflows. Switch works with AI and agent technologies including Claude Code, Anthropic Claude, OpenAI, LangChain, LangGraph, Amazon Bedrock, Google Vertex AI, ADK, and custom-built agents. Multiple specialized agents can coordinate within the same room, use work completed by other agents, respond to human direction, and hand tasks to one another while retaining shared context. Switch is extensible by design and is intended to give organizations a common workspace for coordinating human-agent teams without requiring them to migrate to a new collaboration environment.
    Starting Price: Free
  • 14
    OpenUI

    OpenUI

    Thesys

    OpenUI is an open-source (MIT) generative UI framework for AI agents. Instead of plain text, your agent writes OpenUI Lang, a compact, streaming-first language, and OpenUI renders it progressively as real UI: charts, tables, forms, cards and layouts. Rendering is safe by default: the model can only use components you register and no generated code is executed, so your design system stays in control. A framework-agnostic core powers first-party runtimes for React, Vue, Svelte and Angular, with ready-made chat interfaces and integrations for LangChain/LangGraph, the Vercel AI SDK, Mastra, Google ADK, assistant-ui, CopilotKit, AG-UI and A2UI. In its published benchmark, OpenUI Lang uses about half the tokens of equivalent JSON UI formats, so interfaces stream faster and cost less.
    Starting Price: Free
  • 15
    Agent Communication Protocol (ACP)
    The Agent Communication Protocol (ACP) is an open interoperability standard designed to enable seamless communication between AI agents, applications, and human users. It provides a standardized RESTful API that supports synchronous and asynchronous interactions, streaming communication, long-running tasks, and both stateful and stateless operations. ACP is framework-agnostic, allowing agents built with technologies such as BeeAI, LangChain, CrewAI, or custom solutions to work together without requiring changes to their internal architecture. The protocol supports all content modalities through MimeTypes, making it flexible enough to handle text, images, audio, video, and custom data formats. ACP also includes capabilities for online and offline agent discovery, helping organizations find and connect compatible agents across different environments.
    Starting Price: Free
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    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.
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    FirstHelm

    FirstHelm

    FirstHelm

    FirstHelm is a control plane for AI agents. It sits between your agent fleet — n8n, OpenAI, Anthropic, CrewAI, LangChain, Microsoft Copilot Studio, or any custom agent via REST API — and the rest of the world, deciding what each agent is allowed to do, not just showing what it did. Every action is logged and checked in flight against your rules: budget caps, blocked actions, and per-mission cost and token visibility. Expensive, risky or irreversible actions are held for human approval, and unanswered approvals expire safely — silence is not consent. Live dashboards let you steer agents mid-mission, and FirstHelm generates audit trails and compliance exports mapped to the EU AI Act, ISO 42001, SOC 2, UK GDPR, NIST AI RMF and FCA expectations — 38 controls, scored live from your own data. Freemium, framework-agnostic, UK-built.
    Starting Price: £23/user/month
  • 18
    AI Autopilot

    AI Autopilot

    AI Autopilot

    AI Autopilot is an advanced agentic AI automation platform designed specifically for MSPs to streamline IT operations with intelligent automation. It provides specialized AI agents that handle ticket triage, prioritization, routing, escalation, and SLA monitoring with MSP-grade accuracy. The system integrates natively with major PSA, RMM, documentation, and automation tools like ConnectWise, Autotask, Ninja RMM, IT Glue, Liongard, and Rewst. By automating repetitive tasks, AI Autopilot helps MSPs resolve tickets faster, reduce labor costs, and deliver 24/7 support coverage. Users can even enable ticket creation directly from Microsoft Teams and Slack for a frictionless support experience. With upcoming integrations like MCP, CrewAI, LangChain, and deep RPA orchestration, the platform continues to evolve into a next-generation multi-agent AI infrastructure for MSPs.
    Starting Price: $99/month
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    HumanLayer

    HumanLayer

    HumanLayer

    HumanLayer is an API and SDK that enables AI agents to contact humans for feedback, input, and approvals. It guarantees human oversight of high-stakes function calls with approval workflows across Slack, email, and more. By integrating with your preferred Large Language Model (LLM) and framework, HumanLayer empowers AI agents with safe access to the world. The platform supports various frameworks and LLMs, including LangChain, CrewAI, ControlFlow, LlamaIndex, Haystack, OpenAI, Claude, Llama3.1, Mistral, Gemini, and Cohere. HumanLayer offers features such as approval workflows, human-as-tool integration, and custom responses with escalations. Pre-fill response prompts for seamless human-agent interactions. Route to specific individuals or teams, and control which users can approve or respond to LLM requests. Invert the flow of control, from human-initiated to agent-initiated. Add a variety of human contact channels to your agent toolchain.
    Starting Price: $500 per month
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    PromptLayer

    PromptLayer

    PromptLayer

    The first platform built for prompt engineers. Log OpenAI requests, search usage history, track performance, and visually manage prompt templates. manage Never forget that one good prompt. GPT in prod, done right. Trusted by over 1,000 engineers to version prompts and monitor API usage. Start using your prompts in production. To get started, create an account by clicking “log in” on PromptLayer. Once logged in, click the button to create an API key and save this in a secure location. After making your first few requests, you should be able to see them in the PromptLayer dashboard! You can use PromptLayer with LangChain. LangChain is a popular Python library aimed at assisting in the development of LLM applications. It provides a lot of helpful features like chains, agents, and memory. Right now, the primary way to access PromptLayer is through our Python wrapper library that can be installed with pip.
    Starting Price: Free
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    Eyrane

    Eyrane

    Eyrane

    Eyrane is an AI agent security platform in development for security and engineering teams responsible for agents and automated workflows. It is designed to help organizations discover agents, models, tools, MCP servers, identities, credentials, permissions, and connected systems, then map the access paths between them. The platform is intended to apply runtime policies that allow, require review of, or block agent actions according to identity, permissions, tools, and data sensitivity. Eyrane also describes testing agent behavior against prompt injection, tool misuse, privilege abuse, data exfiltration, and MCP-related scenarios. Its proposed use cases include agent inventory and access review, runtime oversight, MCP security, and AI red teaming. Eyrane is designed for security and engineering teams deploying AI agents across business applications and workflows.
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    Harden

    Harden

    Harden

    Harden AIF is an agent endpoint security platform for AI coding agents. It evaluates supported agent tool calls before execution using the developer’s intent, session context, organisational policy, and the effect of the proposed action. Harden helps protect against destructive commands, unauthorized access, unintended data transfers, secret exposure, privilege misuse, and other unsafe agent actions. Legitimate actions can proceed normally, sensitive data in supported flows can be safely redacted, and actions that fall outside the developer’s intent or authority are blocked before execution. Harden works across popular coding agents and agentic development tools including Claude Code, Codex, Cursor, Antigravity CLI, Kiro, Hermes, and OpenClaw, providing a consistent security layer across the agent ecosystem.
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    PRISM

    PRISM

    Block Convey

    PRISM is an AI agent observability and evaluation platform for teams building and operating AI applications. It traces model calls, tools, retrieval, sessions, and outcomes, then helps teams test scenarios, evaluate results, identify recurring failures, and validate improvements. Teams can connect applications through its SDK and API, OpenTelemetry, and supported frameworks such as LangChain.
    Starting Price: $20/month
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    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.
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    Agno

    Agno

    Agno

    ​Agno is a lightweight framework for building agents with memory, knowledge, tools, and reasoning. Developers use Agno to build reasoning agents, multimodal agents, teams of agents, and agentic workflows. Agno also provides a beautiful UI to chat with agents and tools to monitor and evaluate their performance. It is model-agnostic, providing a unified interface to over 23 model providers, with no lock-in. Agents instantiate in approximately 2μs on average (10,000x faster than LangGraph) and use about 3.75KiB memory on average (50x less than LangGraph). Agno supports reasoning as a first-class citizen, allowing agents to "think" and "analyze" using reasoning models, ReasoningTools, or a custom CoT+Tool-use approach. Agents are natively multimodal and capable of processing text, image, audio, and video inputs and outputs. The framework offers an advanced multi-agent architecture with three modes, route, collaborate, and coordinate.
    Starting Price: Free
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    Deep Agents

    Deep Agents

    LangChain

    Deep Agents is an open-source developer library and agent harness for building LLM-powered agents that can work through multi-step tasks. It provides an agent loop with built-in capabilities for planning, persistent memory, file-system interaction, and delegation to subagents, while allowing developers to connect model providers and tools. The library is intended for software developers and teams creating custom agent applications, including research, coding, and other workflows that require an agent to plan and act across several steps. Developers can extend its behavior with custom tools, middleware, and backends, and integrate it with LangGraph and LangSmith for orchestration, tracing, and deployment workflows. Deep Agents is a software development framework rather than a ready-made end-user agent application; users implement and run agents within their own applications and environments.
    Starting Price: Free
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    Lunary

    Lunary

    Lunary

    Lunary is an AI developer platform designed to help AI teams manage, improve, and protect Large Language Model (LLM) chatbots. It offers features such as conversation and feedback tracking, analytics on costs and performance, debugging tools, and a prompt directory for versioning and team collaboration. Lunary supports integration with various LLMs and frameworks, including OpenAI and LangChain, and provides SDKs for Python and JavaScript. Guardrails to deflect malicious prompts and sensitive data leaks. Deploy in your VPC with Kubernetes or Docker. Allow your team to judge responses from your LLMs. Understand what languages your users are speaking. Experiment with prompts and LLM models. Search and filter anything in milliseconds. Receive notifications when agents are not performing as expected. Lunary's core platform is 100% open-source. Self-host or in the cloud, get started in minutes.
    Starting Price: $20 per month
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    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.
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    CrustAPI

    CrustAPI

    CrustAPI

    Get LinkedIn and Google data in seconds. Pay only for results Find businesses, research people and companies, or bring search results into your app, spreadsheet or AI agent. Get Google Search results, Maps business listings and reviews, plus LinkedIn profiles, companies, posts and jobs. Use the API or dashboard to run requests and export results. Connect with our MCP server or LangChain package. Public documentation and ready-to-run code examples help you get started. Try for free. No credit card required. Empty results cost nothing.
    Starting Price: Free allowance; paid usage
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    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.
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    NotiLens

    NotiLens

    NotiLens

    NotiLens is a real-time alerting and monitoring platform that notifies founders and dev teams when critical events fail, spike, or go unexpectedly silent. Core functionality includes real-time push alerts, ML-powered anomaly detection that learns your baseline automatically, and silence detection that alerts when expected activity stops arriving. On-call scheduling with rotating shifts, escalation policies that auto-page the next person on no acknowledgement, and per-user DND with timezone-aware quiet hours ensure alerts always reach the right person. Broken flow detection monitors multi-step event sequences and alerts when they don't complete. AI agent monitoring tracks token usage, API response times, and cost spikes. Automation monitoring covers n8n, Zapier, and Make for silent failures. 40+ integrations: Stripe, Shopify, GitHub, Vercel, Sentry, Datadog, AWS, LangChain. SDKs for Python, Node.js, Go, Rust, Ruby, PHP, Java. MCP support for Claude and GPT. iOS and Android apps
    Starting Price: $29/month
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    LangProtect

    LangProtect

    LangProtect

    LangProtect is an AI-native security and governance platform that protects LLM and Generative AI applications from prompt injection, jailbreaks, sensitive data leakage, and unsafe or non-compliant outputs. Built for production GenAI, it enforces real-time runtime controls at the AI execution layer by inspecting prompts, model responses, and tool/function calls as they happen. This allows teams to block high-risk behavior before it reaches end users, triggers downstream actions, or exposes confidential data. LangProtect integrates into existing LLM stacks via an API-first approach with minimal latency and supports cloud, hybrid, and on-prem deployments for enterprise security and data residency needs. It also secures modern architectures such as RAG pipelines and agentic workflows with policy-driven enforcement, continuous visibility, and audit-ready governance.
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    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.
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    AnswerLine

    AnswerLine

    Quantive Bt.

    AnswerLine is a hosted API that returns structured responses from AI assistants and search engines. Developers submit prompts or queries with a target country and receive answer text, cited source URLs and positions, and, where available, search queries, product cards and other result data as JSON. The service supports AI visibility measurement, GEO reporting, brand and news monitoring, rank tracking, keyword research, and data pipelines for agents and retrieval-augmented generation. Teams can make synchronous requests or queue tasks and batches for webhook delivery. TypeScript and Python SDKs, a hosted MCP server, and connectors for n8n, Zapier, and LangChain are available. It is designed for SEO platforms and agencies, developers, data teams, and organizations building monitoring or research products. Country targeting and returned fields vary by engine.
    Starting Price: Free credits, then usage-based
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    Literal AI

    Literal AI

    Literal AI

    Literal AI is a collaborative platform designed to assist engineering and product teams in developing production-grade Large Language Model (LLM) applications. It offers a suite of tools for observability, evaluation, and analytics, enabling efficient tracking, optimization, and integration of prompt versions. Key features include multimodal logging, encompassing vision, audio, and video, prompt management with versioning and AB testing capabilities, and a prompt playground for testing multiple LLM providers and configurations. Literal AI integrates seamlessly with various LLM providers and AI frameworks, such as OpenAI, LangChain, and LlamaIndex, and provides SDKs in Python and TypeScript for easy instrumentation of code. The platform also supports the creation of experiments against datasets, facilitating continuous improvement and preventing regressions in LLM applications.
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    Langdock

    Langdock

    Langdock

    Native support for ChatGPT and LangChain. Bing, HuggingFace and more coming soon. Add your API documentation manually or import an existing OpenAPI specification. Access the request prompt, parameters, headers, body and more. Inspect detailed live metrics about how your plugin is performing, including latencies, errors, and more. Configure your own dashboards, track funnels and aggregated metrics.
    Starting Price: Free
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    Bitdefender AI Guardian
    Bitdefender AI Guardian is a macOS security application for people who use autonomous AI agents, including developers and other technical users. It installs a local background service and command-line interface that checks agent activity against user-defined policies. The software inspects prompts, tool calls, MCP servers, installed skills and file access, and can allow, flag or block actions. It can scan skills and MCP servers, help keep credential paths away from agents, and record decisions in an encrypted local audit log for review. Users can also receive private direct-message alerts through a selected chat platform. In its beta, AI Guardian supports Claude Code, OpenClaw and Hermes Agent and is offered free for macOS; the company describes additional operating-system support as planned. It is intended to add controls around agent actions rather than replace an AI model, agent framework or conventional antivirus.
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    LangSmith

    LangSmith

    LangChain

    Unexpected results happen all the time. With full visibility into the entire chain sequence of calls, you can spot the source of errors and surprises in real time with surgical precision. Software engineering relies on unit testing to build performant, production-ready applications. LangSmith provides that same functionality for LLM applications. Spin up test datasets, run your applications over them, and inspect results without having to leave LangSmith. LangSmith enables mission-critical observability with only a few lines of code. LangSmith is designed to help developers harness the power–and wrangle the complexity–of LLMs. We’re not only building tools. We’re establishing best practices you can rely on. Build and deploy LLM applications with confidence. Application-level usage stats. Feedback collection. Filter traces, cost and performance measurement. Dataset curation, compare chain performance, AI-assisted evaluation, and embrace best practices.
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    Cloro

    Cloro

    Cloro

    Cloro is a unified API for monitoring and extracting structured data from AI search engines and search results. Through a single endpoint, Cloro returns real-time, parsed JSON from ChatGPT, Perplexity, Copilot, Gemini, Grok, Google AI Overviews and AI Mode, plus Google Search and Google News — across regions. Teams use Cloro to track brand visibility in AI answers, monitor competitors, run rank tracking and SERP/web-search scraping at scale, and feed AI-search data into their own dashboards, reporting and workflows. It integrates with n8n, Zapier and LangChain, supports async/batch and sync requests and webhooks, and offers usage-based pricing with a free trial.
    Starting Price: $100/month
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    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.
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    EarlyCore

    EarlyCore

    EarlyCore

    EarlyCore is a security platform built for AI agents. It automates pre-production attack testing, real-time monitoring, and compliance reporting across the full agent lifecycle. Scans agents against thousands of attack scenarios covering prompt injection, jailbreaking, data exfiltration, tool misuse, and supply chain threats. In production, tracks every agent action, establishes behavioral baselines, and flags anomalies in real time. Alerts push to Slack, email, or webhooks. Compliance docs generate automatically, mapped to ISO 42001, NIST AI RMF, EU AI Act, SOC 2, and GDPR. Always audit-ready. Deploys in 15 minutes with zero code changes. Integrates with AWS Bedrock, Gemini Enterprise Agent Platform, LangChain, and more. Multi-tenant support for agencies and MSSPs. Built for security teams, agencies, and MSSPs securing AI agents at scale.
    Starting Price: $100/month
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    DemoGPT

    DemoGPT

    Melih Ünsal

    DemoGPT is an open source platform that simplifies the creation of LLM (Large Language Model) agents by providing an all-in-one toolkit. It offers tools, frameworks, prompts, and models for rapid agent development. The platform automatically generates LangChain code, which can be used for creating interactive applications with Streamlit. DemoGPT translates user instructions into functional applications through a multi-step process: planning, task creation, and code generation. It supports a streamlined approach to building AI-powered agents, offering an accessible environment for developing sophisticated, production-ready solutions with GPT-3.5-turbo. Additionally, it integrates API usage and external API interaction in future updates.
    Starting Price: Free
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    Cognee

    Cognee

    Cognee

    ​Cognee is an open source AI memory engine that transforms raw data into structured knowledge graphs, enhancing the accuracy and contextual understanding of AI agents. It supports various data types, including unstructured text, media files, PDFs, and tables, and integrates seamlessly with several data sources. Cognee employs modular ECL pipelines to process and organize data, enabling AI agents to retrieve relevant information efficiently. It is compatible with vector and graph databases and supports LLM frameworks like OpenAI, LlamaIndex, and LangChain. Key features include customizable storage options, RDF-based ontologies for smart data structuring, and the ability to run on-premises, ensuring data privacy and compliance. Cognee's distributed system is scalable, capable of handling large volumes of data, and is designed to reduce AI hallucinations by providing AI agents with a coherent and interconnected data landscape.
    Starting Price: $25 per month
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    iLangL Cloud
    iLangL Cloud is a middleware that is aimed to safely transfer content between content management systems and translation tools. iLangL serves as a bridge between a CMS and the following translation tools - Memsource, memoQ, and MultiTrans - helping users to easily transfer content between CMS and a translation tool. By using iLangL Cloud, you can be sure that all the content will go through safely to a translation tool and back, without damage to any sensitive data.
    Starting Price: $125 per month
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    EmpirioLabs AI

    EmpirioLabs AI

    EmpirioLabs AI

    EmpirioLabs AI is specialized AI model hosting for open, proprietary, and custom stacks. We run open-source models on GPU infrastructure we manage, serve optimized endpoints for proprietary models, and help teams deploy their own models to real users. The catalog spans text, image, video, audio, transcription, embedding, reranking, research, and 3D models, with a browser playground, GPU Cloud instances, and hosted AI agents. It comes with live per-model pricing, a REST API, a remote MCP server for Claude, ChatGPT, and code editors, and integrations for LangChain, LiteLLM, Dify, n8n, and VS Code. New models and features are available as they launch.
    Starting Price: $19.90/month
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    Agency

    Agency

    Agency

    Agency helps enterprises build, evaluate, and monitor AI agents. From the team at AgentOps.ai. Agen.cy (Agency AI) develops cutting edge AI agents using CrewAI, AutoGen, CamelAI, LLamaIndex, Langchain, Cohere, MultiOn + many more.
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    Chainlit

    Chainlit

    Chainlit

    Chainlit is an open-source Python package designed to expedite the development of production-ready conversational AI applications. With Chainlit, developers can build and deploy chat-based interfaces in minutes, not weeks. The platform offers seamless integration with popular AI tools and frameworks, including OpenAI, LangChain, and LlamaIndex, allowing for versatile application development. Key features of Chainlit include multimodal capabilities, enabling the processing of images, PDFs, and other media types to enhance productivity. It also provides robust authentication options, supporting integration with providers like Okta, Azure AD, and Google. The Prompt Playground feature allows developers to iterate on prompts in context, adjusting templates, variables, and LLM settings for optimal results. For observability, Chainlit offers real-time visualization of prompts, completions, and usage metrics, ensuring efficient and trustworthy LLM operations.
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    Scalekit

    Scalekit

    Scalekit

    Scalekit is the MCP gateway for AI agents. It is for developers and platform teams who need an agent to call tools as the user, not through a shared service account. One endpoint reaches 600+ connectors and 35,000+ tools, including Salesforce, Gmail, Slack, Notion, HubSpot, Jira, and GitHub. Scalekit finds that user's credentials, checks permission, runs the call, and returns a clean response. Tokens stay in an AES-256 vault. It works with Anthropic, OpenAI, LangChain, Google ADK, Vercel AI, and Mastra. Run it in the Scalekit cloud (US, with EU residency available), in your VPC, or self-hosted. SOC 2 Type II and ISO 27001. A HIPAA BAA is available on Enterprise. The Free plan includes 10,000 tool calls and 10,000 trigger events a month. Growth is $99 a month for 100,000 tool calls. Enterprise pricing is custom.
    Starting Price: $99/month
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    Yozh Scraper

    Yozh Scraper

    CyberYozh

    Yozh Scraper is a powerful open-source web scraping and crawling toolkit built for high-scale data extraction. Powered by Playwright, Python, and Redis, it effortlessly handles complex JS-rendered sites while bypassing modern anti-bot protections. Key Capabilities: • Anti-Detect Scraping: Leverages Camoufox and real Chrome instances to spoof browser fingerprints and overcome strict anti-scraping systems. • Dual Microservices: Includes an async Scraper API for page rendering and an Open Crawler with SSE streaming, site-mapping, and deduplication. • Native MCP Support: Directly integrates with AI agents (Claude Code/Desktop, LangChain, n8n) via built-in Model Context Protocol (/mcp) endpoints. • Smart Parsing & Presets: Pre-configured for Amazon, Google, LinkedIn, and more, featuring optional LLM self-healing parsing. • Enterprise Scaling: Horizontal worker scaling via Docker Compose, proxy support (Residential/Mobile/DC), and a web UI for testing.
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    OpenMail

    OpenMail

    OpenMail

    OpenMail gives AI agents a dedicated email address. Provision an inbox with one CLI command or API call, each agent gets its own address, not a shared inbox or forwarding alias. Inbound email arrives instantly via webhook or WebSocket, parsed and threaded, with no polling required. Replies land in context so agents can respond without any new interface on the human side. Attachments: PDFs, CSVs, images, spreadsheets, Word documents are automatically converted to LLM-ready text; the agent never touches raw MIME. The API is small by design: one call to provision, standard calls to send, webhooks or WebSocket to receive. Integrates with LangChain, n8n, Make, Vercel AI SDK, and OpenClaw. Custom domains supported. Runs in the EU, GDPR-covered, 99.9% uptime SLA, SOC 2 in progress.