Agent Switchboard

BitFun vs E2B vs Grok Build

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

BitFun vs E2B vs Grok Build, side by side
BitFunby GCWingRemove BitFun from this comparisonE2Bby E2BRemove E2B from this comparisonGrok Buildby xAIRemove Grok Build from this comparison
Sets it apart
  • Newest listing (added Aug 12, 2026)
  • Most skills (5)
  • Streams responses
  • Only one with an MCP server
  • Official xAI listing
  • Streams responses
What it isRuns an open-source desktop and terminal coding agent that plans, edits, tests, and reviews changes inside real Git repositories.Secure cloud sandboxes for AI agents to run code. Supports Python, JS, and shell. Persistent filesystem, network access, and sub-100ms cold starts.Runs xAI's terminal coding agent with plan-first execution, up to 8 parallel sub-agents in Git worktrees, and native MCP support. grok-build-0.1 scores 70.8% on SWE-Bench Verified.
ProviderGCWingE2BxAI
Official vendorNot an official listingNot an official listingxAI
VerifiedYesSame for all
AccessCLIAPI, CLIAPI, MCP, CLI
AuthAPI KeyAPI KeyOAuth 2.0
MCP serverNo MCP serverNo MCP serverIn its setup guide
CLI installIn its docsIn its docsInstall scriptcurl -fsSL https://x.ai/cli/install.sh | bash
API base URLNo APIIn its docsIn its docs
SkillsRepository Delivery, Deep Review, Workspace ExecutionProvision isolated cloud sandboxes for executing AI-generated code safely, Persist filesystem state across agent steps within a single sandbox session, Run Python, JavaScript, shell, and arbitrary language runtimes in each sandbox, Support long-running agent workloads with up to 24-hour sandbox lifetimes, Integrate as an OpenAI code interpreter drop-in or with any LLM frameworkPlan-First Execution, Parallel Sub-Agents, MCP Tool Access
StreamingNoYesYes
Push notificationsNoSame for all
CategoriesCode & DevTools, Browser & Computer UseBrowser & Computer UseCode & DevTools
Tagscoding-agent, open-source, rust, desktop, terminal-ui, git-workflow, computer-usecode-execution, sandbox, python, javascript, code-interpreter, cloud-computecoding-agent, terminal, swe-bench, parallel-agents, git-worktrees, mcp, rust, open-source
Listed sinceAug 12, 2026Apr 8, 2026Jul 17, 2026
Use it now

Share this comparison

https://agentswitchboard.dev/compare?a=bitfun&b=e2b&c=grok-build

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=bitfun&b=e2b&c=grok-build
3 listings side by side · "same" marks a row every column shares
listings
bitfuncliNewest listing (added Aug 12, 2026)e2bapi+cliMost skills (5); Streams responsesgrok-buildcli+mcp+apiOnly one with an MCP server; Official xAI listing; Streams responses
rows
descriptionRuns an open-source desktop and terminal coding agent that plans, edits, tests, and reviews changes inside real Git repositories. | Secure cloud sandboxes for AI agents to run code. Supports Python, JS, and shell. Persistent filesystem, network access, and sub-100ms cold starts. | Runs xAI's terminal coding agent with plan-first execution, up to 8 parallel sub-agents in Git worktrees, and native MCP support. grok-build-0.1 scores 70.8% on SWE-Bench Verified.
providerGCWing | E2B | xAI
officialNot an official listing | Not an official listing | xAI
verified (same)Yes
accessCLI | API, CLI | API, MCP, CLI
authAPI Key | API Key | OAuth 2.0
mcpNo MCP server | No MCP server | In its setup guide
cliIn its docs | In its docs | Install script: curl -fsSL https://x.ai/cli/install.sh | bash
apiNo API | In its docs | In its docs
skillsRepository Delivery, Deep Review, Workspace Execution | Provision isolated cloud sandboxes for executing AI-generated code safely, Persist filesystem state across agent steps within a single sandbox session, Run Python, JavaScript, shell, and arbitrary language runtimes in each sandbox, Support long-running agent workloads with up to 24-hour sandbox lifetimes, Integrate as an OpenAI code interpreter drop-in or with any LLM framework | Plan-First Execution, Parallel Sub-Agents, MCP Tool Access
streamingNo | Yes | Yes
push (same)No
categoriesCode & DevTools, Browser & Computer Use | Browser & Computer Use | Code & DevTools
tagscoding-agent, open-source, rust, desktop, terminal-ui, git-workflow, computer-use | code-execution, sandbox, python, javascript, code-interpreter, cloud-compute | coding-agent, terminal, swe-bench, parallel-agents, git-worktrees, mcp, rust, open-source
addedAug 12, 2026 | Apr 8, 2026 | Jul 17, 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