Built around execution, not chat.

Arcochat is where professionals get AI work done: a private multi model workspace built for real execution.

Compare AI models side by side: Claude 4.8, GPT-5.5, DeepSeek V4, xAI Grok 3, and Gemini 3.5 in one workspace. The direct-API alternative to Cursor, Google Antigravity, and Claude CLI.

Stop guessing which model is right. Ask three at once, get one verified answer.

Run OpenAI, Anthropic, and Google models concurrently. Spot variations instantly, cross-reference logical structures, and bypass model hallucinations before saving files to production.

// Simulated consensus routing...
POST /v1/chat/consensus {
  "models": ["gpt-4o", "claude-3.5-sonnet", "gemini-1.5-pro"],
  "consensus_voting": "strict_fact_check"
}

Projects Sandboxes

Keep your conversations and related assets organized in isolated project sandboxes. Isolate API configurations, system instructions, and dynamic content drafts per client or project target.

📁 Launch Campaign Project ├─ 📄 product_specs.md ├─ 📄 pricing_tiers.csv └─ ⚙️ project_config.json

Never re-explain your project to a new chat again.

Arcochat builds local vector indexes automatically in the background across your workspace files. Relevant contextual chunks are injected into your chats on-demand. You never have to repeat formatting constraints, brand guidelines, or client specifications.

Background Vector Indexing (Local):
product_specs.md 102 Vectors Cached
brand_voice.txt 45 Vectors Cached

Give your AI real tools, your files, your APIs, your workflow, not just a chat box.

Access your local filesystems, query SQL databases, or execute scripting files directly via open-standard MCP client integrations. Bring your own tools and access your system ecosystem natively.

{
  "mcp_servers": {
    "postgres-db": { "command": "npx", "args": ["-y", "@modelcontextprotocol/server-postgres"] }
  }
}

Package your best setups. Reuse them across every project.

Extract, optimize, and reuse successful ad-hoc agent setups. Package system instructions, files, and targeted API configurations into repeatable system templates that can be shared across teams.

name: code-review-agent
rules: [strict-typing, generate-unit-tests]
tools: [local-file-reader, consensus-consensus]

Turn a five-step process into one command.

Connect model executions in series or parallel. Direct the output files of one model directly into another to form completely automated data audit pipelines.

GPT-4o Summary Claude 3.5 Schema check Save Draft

Use your own keys

Plug in your personal OpenAI, Anthropic, or Google API keys. Pay only for raw tokens directly to vendors, with zero markups from Arcochat.

No vendor lock-in

Export your conversation databases, prompts, and skills logs into standard JSON/markdown structures at any time.

Offline privacy mode

Configure Arcochat to run completely offline using local weights and tools without shipping data packets to cloud services.

Experience it in action

Test our multi model consensus simulator to see how side by side verification works.

Try the Interactive Demo →