Posts

Glowing glass spheres linked by thin lines across a dark surface, suggesting a network of cooperating agents

OpenAI Codex Subagents: Run Parallel Multi-Agent Workflows

A practical guide to spawning and coordinating parallel Codex subagents, from TOML custom agents to the Responses API multi-agent beta.

Declarative agent configuration models compared: TOML, Markdown, YAML, A2A protocol

OpenAI Codex Custom Agents: TOML vs Markdown vs YAML

OpenAI Codex declares custom agents in TOML, SKILL.md and AGENTS.md use Markdown, Conductor uses YAML, and A2A skips manifests entirely. The right choice depends on whether you need enforceability, readability, or interoperability.

Cumora agent relay chain with mid-handoff gap illuminated, representing coordinated team execution

Cumora: Agents as First-Class Teammates in Team Chat

Cumora is team chat rebuilt so agents hold the same roster, DMs, and calendars as humans, not a chatbot bolted on top.

State-aware A2A routing decision node with three branching agent paths: self, collaborate, handoff

State-Aware A2A Routing: How Sprix SAGE Decides Mid-Task

The real gap in multi-agent systems isn’t discovery; it’s deciding who keeps working after execution has already begun.

Dedicated compute for AI coworkers: a matte-black Docker container as an industrial crate with glowing orange rectangular interface, isolated on dark concrete

OpenBot: Production Patterns for AI Coworkers with Dedicated Compute

OpenBot treats agent compute as a governance boundary: one container, one browser, and a fail-closed policy gate in front of every action.

Cost Regression Detection for AI Coding Agents

AI coding agents burn tokens invisibly; cost regression gates turn that waste into a failing build signal you can act on.

Agent identity governance as a vault of brass keys with one singled out under hard light - runtime credential control

Agent identity: runtime governance for non-human principals

Stop handing agents long-lived secrets; govern credential use the moment each agent acts, not at rest.

Diffusion LLM inference as hundreds of spheres resolving from fog all at once - parallel generation, not sequential

Diffusion LLMs for Agent Inference: Speed and Tradeoffs

A production engineer’s guide to when parallel token generation beats autoregressive decoding for latency-sensitive agent workloads.

Federated MCP as three separate stone platforms linked by light with no central hub - distributed tool access without a server

Federated MCP: Distributed Tool Access Without a Central Server

The hard part of federated MCP isn’t plumbing between servers; it’s deciding who can invoke what across a boundary no single party controls.

Agent debugging workflow with trace capture, state freeze, and parallel simulation

Production Agent Debugging: From Logs to Root Cause

When an agent fails, you need to know why it chose a particular reasoning path — not just what API calls it made. Here is how the tooling is evolving to close that gap.