Agent Switchboard

promptfoo vs Opik vs HexStrike AI

Side by side, from each listing’s own data. A row where every column says the same is shown once, dimmed.

promptfoo vs Opik vs HexStrike AI, side by side
promptfooby promptfooRemove promptfoo from this comparisonOpikby Comet MLRemove Opik from this comparisonHexStrike AIby HexStrikeRemove HexStrike AI from this comparison
Sets it apart
  • No auth required
  • Most skills (5)
  • No auth required
  • Newest listing (added Sep 13, 2026)
What it isTests and red-teams LLM apps, agents and RAG pipelines from declarative config, scanning for prompt injection, jailbreaks and other vulnerabilities in CI.Traces LLM and agent runs, scores them with LLM-as-a-judge and heuristic metrics, and monitors production quality via Python and TypeScript SDKs and 60+ integrations.Drive 150+ offensive security tools from an AI agent through one MCP server — reconnaissance, vulnerability scanning, exploitation workflows, and bug bounty automation.
ProviderpromptfooComet MLHexStrike
Official vendorNot an official listingSame for all
VerifiedYesSame for all
AccessAPI, CLIAPI, MCP, CLIMCP, CLI
AuthNoneAPI KeyNone
MCP serverNo MCP serverIn its setup guideIn its setup guide
CLI installIn its docsSame for all
API base URLIn its docsIn its docsNo API
SkillsDeclarative Eval Suites, Automated Red Teaming, Model ComparisonAgent Trace Logging, LLM As Judge Metrics, Datasets And Experiments, Production Monitoring Rules, PyTest CI EvaluationRecon Automation, Vulnerability Scanning, Exploit Workflows
StreamingNoSame for all
Push notificationsNoSame for all
CategoriesSecurity, Code & DevToolsInfrastructure & Ops, Code & DevToolsSecurity
Tagsllm-evaluation, red-teaming, prompt-injection, regression-testing, ci-integration, jailbreak-scanningllm-tracing, llm-as-a-judge, prompt-playground, opentelemetry, pytest-integration, online-evaluation, guardrails, self-hostedoffensive-security, penetration-testing, bug-bounty, vulnerability-scanning, reconnaissance, red-team, security-tooling
Listed sinceJul 25, 2026Aug 1, 2026Sep 13, 2026
Use it now

Share this comparison

https://agentswitchboard.dev/compare?a=promptfoo&b=opik&c=hexstrike-ai

More comparisons · 13

  • GitHub Copilot vs Cursor vs Codeium / Windsurf

    Three AI coding assistants, each an official listing. Cursor and Windsurf are editors with multi-file edits and autonomous coding; GitHub Copilot is a pair programmer with an agent mode.

  • LangGraph vs CrewAI vs AutoGen

    Frameworks for multi-agent systems. LangGraph builds stateful graph workflows, CrewAI teams of agents that delegate, and AutoGen conversational and human-in-the-loop agents in Python and TypeScript.

  • Mem0 vs Zep vs Letta

    Three ways to give agents long-term memory. Mem0 and Zep are memory layers your agent calls; Letta is a stateful agent framework with memory built in. Mem0 also has an MCP server.

  • Pinecone vs Qdrant vs Weaviate

    Vector databases for RAG and semantic search. Pinecone is fully managed; Qdrant and Weaviate are open source. Beyond the API, Qdrant has a CLI and Weaviate an MCP server.

  • Browserbase vs Browser Use vs Browserless

    Browsers for AI agents. Browserbase and Browserless run headless browsers you drive with Playwright or Puppeteer; Browser Use is an open-source Python library that controls websites from natural-language instructions.

  • E2B vs Daytona vs Vercel Sandbox

    Sandboxes where agents run untrusted code, each with an API and a CLI. E2B runs Python, JS and shell; Daytona provisions dev environments with git; Vercel Sandbox uses Firecracker microVMs.

  • Firecrawl vs Crawl4AI vs Jina Reader

    All three turn web pages into clean Markdown for LLMs. Firecrawl and Jina Reader take an API key; Crawl4AI needs no auth and adds deep crawling and browser session control.

  • Figma MCP Server vs Figma Context MCP vs Talk to Figma MCP

    MCP servers that bring Figma designs to coding agents. Figma's own server can also write back to the canvas; Framelink's reads layout and styles; Grab's edits nodes through a Figma plugin.

  • Ollama vs LM Studio vs vLLM

    Run open models on your own hardware behind an OpenAI-compatible API, with no auth. Ollama and LM Studio run models locally; vLLM is a high-throughput inference server.

  • Asana MCP vs ClickUp MCP vs monday.com MCP

    Official project-management MCP servers, all hosted with OAuth sign-in. monday.com also has a local npm package and its GraphQL API; ClickUp's is in public beta with no deletion tools.

  • Groq vs Cerebras Inference

    Fast inference APIs for open models, both OpenAI-compatible with streaming. Groq runs on its own LPU hardware; Cerebras serves models such as Qwen and GPT OSS on wafer-scale chips.

  • Deepgram vs AssemblyAI

    Speech-to-text APIs with real-time streaming. Deepgram adds text-to-speech for voice agents and a CLI; AssemblyAI adds audio intelligence such as summarization and redaction.

  • Neon MCP vs PlanetScale MCP

    MCP servers for managed SQL databases with branching. Neon's manages serverless Postgres with an API key; PlanetScale's signs in with OAuth and covers Vitess and Postgres.

/compare?a=promptfoo&b=opik&c=hexstrike-ai
3 listings side by side · "same" marks a row every column shares
listings
promptfoocli+apiNo auth requiredopikapi+mcp+cliMost skills (5)hexstrike-aimcp+cliNo auth required; Newest listing (added Sep 13, 2026)
rows
descriptionTests and red-teams LLM apps, agents and RAG pipelines from declarative config, scanning for prompt injection, jailbreaks and other vulnerabilities in CI. | Traces LLM and agent runs, scores them with LLM-as-a-judge and heuristic metrics, and monitors production quality via Python and TypeScript SDKs and 60+ integrations. | Drive 150+ offensive security tools from an AI agent through one MCP server — reconnaissance, vulnerability scanning, exploitation workflows, and bug bounty automation.
providerpromptfoo | Comet ML | HexStrike
official (same)Not an official listing
verified (same)Yes
accessAPI, CLI | API, MCP, CLI | MCP, CLI
authNone | API Key | None
mcpNo MCP server | In its setup guide | In its setup guide
cli (same)In its docs
apiIn its docs | In its docs | No API
skillsDeclarative Eval Suites, Automated Red Teaming, Model Comparison | Agent Trace Logging, LLM As Judge Metrics, Datasets And Experiments, Production Monitoring Rules, PyTest CI Evaluation | Recon Automation, Vulnerability Scanning, Exploit Workflows
streaming (same)No
push (same)No
categoriesSecurity, Code & DevTools | Infrastructure & Ops, Code & DevTools | Security
tagsllm-evaluation, red-teaming, prompt-injection, regression-testing, ci-integration, jailbreak-scanning | llm-tracing, llm-as-a-judge, prompt-playground, opentelemetry, pytest-integration, online-evaluation, guardrails, self-hosted | offensive-security, penetration-testing, bug-bounty, vulnerability-scanning, reconnaissance, red-team, security-tooling
addedJul 25, 2026 | Aug 1, 2026 | Sep 13, 2026
comparisons
/compare/github-copilot-vs-cursor-vs-codeium-windsurf3 listings/compare/langgraph-vs-crewai-vs-autogen3 listings/compare/mem0-vs-zep-vs-letta3 listings/compare/pinecone-vs-qdrant-vs-weaviate3 listings/compare/browserbase-vs-browser-use-vs-browserless3 listings/compare/e2b-vs-daytona-vs-vercel-sandbox3 listings/compare/firecrawl-vs-crawl4ai-vs-jina-reader3 listings/compare/figma-mcp-server-vs-figma-context-mcp-vs-talk-to-figma-mcp3 listings/compare/ollama-vs-lm-studio-vs-vllm3 listings/compare/asana-mcp-vs-clickup-mcp-vs-monday-mcp3 listings/compare/groq-vs-cerebras-inference2 listings/compare/deepgram-vs-assemblyai2 listings/compare/neon-mcp-vs-planetscale-mcp2 listings