ClawAPI @clawapi_org

Sagit Code now knows your codebase — 100% locally 🔒 Ask for a change and it finds the right files across your whole project on its own. No need to tell it where anything lives. And your code never leaves your Mac — no cloud, no upload. Other agents index your code on their servers. Sagit does it locally. ⬇️ Apple Silicon · signed & notarized sagit.ai

Claude Opus 4.8 now live on ClawAPI. OpenAI-compatible + Anthropic-native. One sk-claw-* key. model="claude-opus-4-8" clawapi.org

@HugoBlotFR that's the thesis 🤝 switch any of models mid-session, same key, both protocols

ClawAPI Phase 2 complete → /anthropic/v1/messages supports all 9 models → Streaming + tool use across the board → Claude Code CLI users: 3 lines of export, switch any model → Same key works on both OpenAI + Anthropic endpoints

@megallmio exactly the pain — and exactly why we shipped it. SDK-level invisibility was the bar. tool schemas + streaming stay identical across all N models .

GPT-5.5 + Claude Opus 4.7 — both live on ClawAPI today. 9 frontier models. One universal API key. USDT/USDC payments. Built for WEB4 & All Agents 🦞 clawapi.org

New in Claude Code: auto mode. Instead of approving every file write and bash command, or skipping permissions entirely, auto mode lets Claude make permission decisions on your behalf. Safeguards check each action before it runs.

∞ terminals. One Dashboard. Zero alt-tab. Code Manager in ClawCompany: → Claude Code + Codex + Cursor — all in one screen → Any custom terminal you need → Multiple tabs, persistent sessions → Full browser-based terminal, no setup Run 5 AI coding agents side by side. Your Chairman watches them all. 🦞 clawcompany.org #AI #OpenSource #LocalFirst #CodeManager #VibeCoding

You can now enable Claude to use your computer to complete tasks. It opens your apps, navigates your browser, fills in spreadsheets—anything you'd do sitting at your desk. Research preview in Claude Cowork and Claude Code, macOS only.

Talk to any role. Instantly. CEO thinks strategy. CTO reviews architecture. CMO plans growth. Researcher finds data. Switch roles. Chat history stays. One Dashboard. Every mind on your team. 🦞 clawcompany.org #AI #OpenSource #BuildInPublic #LocalFirst #VibeCoding #YourMachineYourCompany

One API key. Five providers. Zero config files. ClawAPI → Anthropic → OpenAI → Google → Ollama Paste your key. Click save. Connected. Telegram + Discord notifications built in. No .env files. No CLI config. No terminal needed. 🦞 clawcompany.org #AI #OpenSource #BuildInPublic #LocalFirst #YourMachineYourCompany

Your AI company never sleeps. Cron-powered routines: → Daily market report at 8am → Competitor check every 6 hours → Weekly summary on Friday Set it. Forget it. Your team runs 24/7. 🦞 clawcompany.org #AI #OpenSource #BuildInPublic

I built a 9-agent AI company that runs for $0.12 per mission. CEO (@AnthropicAI Opus 4.6) decomposes. CTO (@openAI GPT-5.4) architects. Secretary (@openAI GPT 5 mini) Daily work. Researcher (@AnthropicAI Sonnet 4.6) analyzes. Analyst (@GoogleDeepMind Flash-lite) collects data. 5 roles. 5 models. 179 seconds. $0.12. Same work with one model? $5+. That's 40× cheaper. Open source. One command: $ npx clawcompany clawcompany.org clawapi.org github.com/Claw-Company/c…

I Ran 8 AI Models on OpenClaw for 40 Days. Here's What They Actually Cost. In conclusion, for daily use, GPT 5 mini and Gemini 3.1 Flash-Lite are sufficient and inexpensive; For large and complex projects, GPT 5.4 and Claude Opus 4.6 are recommended. clawapi.org/review

🎁 Every new ClawAPI account gets 10M free tokens. No credit card. No KYC. Connect wallet → start building. OSS-120B: ~5,000 free calls OSS-20B: ~10,000 free calls Need GPT-5.4 or Claude Opus? Top up with USDC/USDT — one key unlocks all 8 models. 📷 clawapi.org

We just released Claude Code channels, which allows you to control your Claude Code session through select MCPs, starting with Telegram and Discord. Use this to message Claude Code directly from your phone.

Built-in auto-fallback. If any provider returns 429/502/504, the system automatically retries or cascades to the next model in the fallback chain. Real example from our tests: ⚠ gpt-5-mini timed out → fell back to gemini-flash-lite ✅ Task completed. Zero manual intervention. The mission doesn't stop. The org adapts — just like a real company when someone calls in sick. All open source if you want to see how: github.com/Claw-Company/c…

Exactly. That's the unlock. When a full team analysis costs $0.12 and takes 3 minutes, you stop treating AI like a special occasion. You just ask. "Should we enter this market?" → run it "Compare these 3 vendors" → run it "What's our risk exposure?" → run it A chairman doesn't do the work. A chairman asks the questions. 🦞

Great question! The $0.12 run used real web data — Researcher made 30+ tool calls scraping live sources, not clean datasets. Messy data actually shows the multi-model advantage: Worker collects raw data (cheap), Researcher cleans & analyzes (mid-tier), Secretary formats (cheap). You're not paying Opus prices for data wrangling. Try it yourself — it's open source: $ npx clawcompany Would love to see what you throw at it 🦞