Facio Blog

Practical notes on human-reviewed AI agents.

Payload-powered product notes, security writing, HITL patterns, and operational guidance from the Facio runtime: long sessions, Placet approvals, audit trails, memory, providers, channels, tools, and Docker-first operations.

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Showing 66-70 of 78 articles in Product.

Product

Facio's MCP Management: Dynamic Server Lifecycle Control From the Agent Itself

Jun 2, 2026Product

Facio's MCP Management: Dynamic Server Lifecycle Control From the Agent Itself

Connecting an MCP server is step one. Managing it in production — toggling it on and off, editing its configuration, restarting it after a crash, routing it to different HTTP transports — is where most platforms stop. Facio's manage_mcp tool gives agents full lifecycle control over their own tool infrastructure, with HITL gating on every destructive change.

Product

Facio's Inline Learning: How Agents Update Their Own Memory During Every Conversation

Jun 1, 2026Product

Facio's Inline Learning: How Agents Update Their Own Memory During Every Conversation

Most AI agents start fresh every session. Facio agents update their own memory files — MEMORY.md, BUGS.md, USER.md — in real time during conversations, using surgical edits that keep the knowledge base clean and current. Here's how inline learning works, when agents write to memory, and why this architecture produces better long-term behavior than RAG alone.

Product

Facio's HITL Tool Suite: How ask_approval, ask_form, and ask_selection Keep Humans in Control

May 31, 2026Product

Facio's HITL Tool Suite: How ask_approval, ask_form, and ask_selection Keep Humans in Control

Most agent platforms treat human approval as a binary step: approve or reject. Facio's HITL tools — ask_approval, ask_form, ask_selection, and ask_text_input — turn human-agent interaction into structured workflows with custom options, password-gated credential capture, markdown review, and timeout handling. Here's how each tool works and when to use it in production.

Product

Facio's Spawn System: How Parallel Sub-Agents Multiply Agent Throughput

May 30, 2026Product

Facio's Spawn System: How Parallel Sub-Agents Multiply Agent Throughput

Gartner predicts 40% of agentic AI projects will be cancelled by 2027 due to escalating costs. One reason: most agent platforms run tasks sequentially. Facio's spawn system lets agents delegate work to parallel sub-agents — each with isolated context, optional model overrides, and direct filesystem access — and collect results asynchronously. Here's how the architecture works and when to use it.

Product

Facio's Built-in Browser: How AI Agents Navigate the Web Without External Infrastructure

May 29, 2026Product

Facio's Built-in Browser: How AI Agents Navigate the Web Without External Infrastructure

Most AI agent platforms require a separate Playwright container, a CDP proxy, or a third-party browser service just to visit a webpage. Facio ships with a full browser automation suite built into the runtime — persistent sessions, accessibility snapshots, screenshots, and HITL gating. Here's how the architecture works and why it matters for production agent workflows.