| Best for | Aggregating free LLM tiers to avoid rate limits and API bills | Running recurring AI agent tasks (summaries, reports, follow-ups) on a calendar schedule | Handing large artifacts (model weights, datasets, builds) between agents without stuffing them through context windows | Support-triage or back-office agents that run unattended but must never exceed a per-run budget |
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| Key features | Protocol translation across OpenAI/Claude/Gemini/Responses • Combos and auto model variants • Stacked RTK + Caveman token compression | Schedule tasks for AI agents directly from Google Calendar • Agents connect to popular work tools including Gmail, Slack, Notion, GitHub, Jira, HubSpot, Salesforce, and Stripe • Dedicated agent email domain (tasks.agentcaly.com) for handing tasks to agents | One-call agent onboarding: POST a name, get an address, inbox, folder, and API key — no human, approval, or credit card • File transfers up to 5 GB each, streamed, content-addressed, and sha256-verified on both ends • Ed25519-signed, hash-chained receipts for every action, verifiable without trusting the server | Hard per-run cost caps (max_cost_usd) that halt a run the moment it crosses budget • Human approval gates: workflows park with AwaitApproval before irreversible actions and resume on approve/reject • Runtime limits: max LLM calls, max tokens per call, and per-tool call caps |
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