Best agent-infrastructure Tools

Schedule tasks for AI agents straight from Google Calendar, with agents that connect to tools like Gmail, Slack, Notion, GitHub, and more.

Key Features:

• •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

Open-source file-transfer and identity infrastructure for AI agents in one Go binary: each agent gets an address, folder, inbox, and API key in a single call, with 5 GB transfers, signed receipts, and an MCP bridge.

Key Features:

• •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

An open-source control plane for unattended LLM agents and workflows, enforcing cost caps, human approval gates, model-switching policies, and self-healing rollbacks around agents you build.

Key Features:

• •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

Open-source sandbox service from Tencent Cloud that spins up hardware-isolated micro-VMs for AI agents in under 60ms, with E2B SDK compatibility for drop-in migration.

Key Features:

• •Sub-60ms cold start with <5MB memory overhead per sandbox
• •Hardware-level isolation via dedicated guest kernels (RustVMM/KVM micro-VMs)
• •E2B SDK drop-in compatibility — migrate by changing one URL

Free, local-first AI gateway that routes any coding tool to 237 LLM providers with auto-fallback, token compression, and MCP support.

Key Features:

• •Protocol translation across OpenAI/Claude/Gemini/Responses
• •Combos and auto model variants
• •Stacked RTK + Caveman token compression

Sanbox by Sanlabs runs AI agents in isolated, resumable MicroVM sandboxes with persistent filesystems, live run events, network ACLs, and self-hosting options.

Key Features:

• •One isolated MicroVM per run with a dedicated guest kernel and explicit CPU/memory/timeout limits
• •Resumable filesystem snapshots preserving artifacts, agent state, and conversation history
• •Fan-out CLI (npm i -g @sanlabs/sanbox-cli) for parallel runs from terminals, CI, Codex, or Claude Code

A declarative, sandboxed, non-Turing-complete language and runtime that lets AI agents crystallize learned procedures into auditable, reusable skills.

Key Features:

• •Declarative, orchestration-only language: skills are DAGs of typed dispatches, not procedural code
• •Not Turing complete by design — no eval, no subprocess, no arbitrary imports; sandboxing enforced at the language level
• •Connector-mediated capability: skills invoke gated connectors with curated tool surfaces instead of importing packages