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Agent Orchestration

156 summarised stories about Agent Orchestration, each linking back to the original source. Browse all topics →

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Thursday, 17 September 2026

Rival AI agents, Instinct and Meta’s Muse, both add the ability to make calls

TechCrunch 1 month ago 5

Instinct and Meta’s Muse added phone-calling capabilities to their text-based AI agents as both compete for user attention. Instinct’s calling feature, Instinct Concierge, is rolling out in early access starting in early 2026, and Muse will first enable outbound calls to U.S. businesses for users who request it. Both agents move toward parity on call-making, with Instinct expanding high-touch concierge tasks and Muse prioritizing feature requests before broader rollout.

Why human oversight is shifting from writing code to defining requirements

The New Stack 1 month ago 19

A requirement was deliberately written so that missing consent treated recipients as permitted, and the ensuing spec-driven code generation and automated checks produced passing tests and a clean release while still notifying a withdrawn-consent recipient. The acceptance criterion AC-05 specifies that when a consent lookup returns no determination, the notification is sent so an unavailable dependency does not block delivery. The pipeline’s oversight shifts from verifying agent outputs to ensuring the requirements themselves are finalized correctly, because all downstream guardrails only check conformance to the spec.

Ouroboros (GitHub Repo)

GitHub 1 month ago 13

Ouroboros (a GitHub project) proposes an “Agent OS” for AI coding that locks a specification before code execution and records actions for replayable, observable runs. The install command is curl -fsSL https://raw.githubusercontent.com/Q00/ouroboros/main/scripts/install.sh | OUROBOROS_INSTALL_REF=readme-hero bash. As a result, coding workflows shift from ad-hoc prompt instructions to an interview→crystallize→execute→evaluate→evolve process using shared primitives, with domain steps added via plugins.

6-7 loops we use everyday to make PostHog self-driving

posthog.com 1 month ago 34

PostHog’s self-driving team describes internal “loops” that turn agent and user feedback into triage reports and automatically opened pull requests. One example shows an MCP tool missing_tool complaint leading to PR #90832 being opened 8 minutes later and merged on 17:27, then landing in production by 18:56 on August 28 (AI-related engineering). These loops change how work is done by shifting detection, dedupe, and root-cause work away from humans while letting engineers review, steer, and ensure the fixes actually hold.

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