The August 10 field edition

Before you trust an agent, check the source.

The latest releases changed how agents handle tools, data, sessions, approvals, and handoffs. We traced each change to the official source. Start with five recent changes before your next build.

A physical miniature agent system links memory, tools, approval, artifact handling and handoff around a blue task route.
One task moves through memory, tools, approval, artifacts, and handoff. The blue route marks every place the work can wait, change, or pass to someone else. AI-assisted editorial illustration.

In this editionA live index of what you can read today.

656
sourced records
301
systems and frameworks
157
terms and concepts
2
records held for more proof

The week in the field

Which five changes should you check before your next build?

These releases changed runtime context, data handling, approvals, sessions, or handoffs. Each note starts with the official release. Find the change closest to your work, then read the source before you ship. That is the quickest way to see whether it changes your limits, tests, or review plan.

A blue route crosses three square checkpoints before meeting a black mechanical stop in a miniature architectural model.
A good trace shows the route, every checkpoint, and the place a person stopped the work. AI-assisted editorial illustration.

CrewAI separates coding-agent runtime context

CrewAI 1.15.14 separates runtime context from its coding agent and adds a project identifier. The release note is terse, so broader architectural implications remain outside this update.

Read the primary source
A cutaway architectural model shows one blue path moving through guarded black-and-bone chambers.
A file boundary has to hold from the first check to the place where the session writes. AI-assisted editorial illustration.

Pydantic AI carries compaction across adapters

Pydantic AI 2.27.0 round-trips compaction parts through Vercel AI and AG-UI adapters, adds Snowflake Cortex support, and honors binary-content exclusion across OpenTelemetry serialization sinks.

Read the source
Blue tokens move through transparent and black test frames while one route diverts into a safe holding tray.
The valid path continues. The rejected action waits where someone can inspect it. AI-assisted editorial illustration.

Strands adds tool filters and risk classification

Strands Agents TypeScript 1.12.0 adds MCP tool filtering and name prefixes, offers disabled-by-default repetitive swarm-handoff detection, and adds an LLM-based tool-risk classifier. Classifier output is a review signal, not proof of safety.

Read the source
Black-and-bone tool modules circle a selector that feeds one chosen module onto a blue execution rail.
A skill can be picked and reused like a tool. Someone still has to own its permissions and release. AI-assisted editorial illustration.

OpenAI tightens guardrail and sandbox boundaries

Agents SDK Python 0.19.4 preserves completed guardrail results, defers non-stream session saves until output guardrails finish, uses payload-free SDK invalid-argument errors when tool-data logging is disabled, and enforces sandbox token-output budgets. These are named boundary fixes, not a whole-system security guarantee.

Read the source
A blue command route enters a guarded black-and-bone artifact chamber through layered inspection gates.
The tool call crosses a confirmation gate before it can touch the artifact. AI-assisted editorial illustration.

Microsoft expands persistent agent hosting

Agent Framework Python 1.13.0 adds reusable session stores, bounded archive-backed MCP skill discovery, and opt-out process-wide feature telemetry on reviewed first-party User-Agent request paths. Operators still need to review which archives are trusted.

Read the source

The reference desks

What do you need to know right now?

Start with the question in front of you. Need a definition? Open the glossary. Choosing a framework? Compare systems. Checking who built what? Use the ecosystem. Looking for a rule? Read the standards. One clear question is enough to begin.

Start here · 01–05

Which five pages make the rest easier?

They give you the agent, its workflow, its limits, its tool protocol, and the evaluation that helps you judge the result. Read them in order and the rest of the field becomes easier to follow. Together, they give you a working frame for every system, standard, and release note that follows.

  1. 01AI agent
  2. 02Agent workflow
  3. 03Agent governance
  4. 04Model Context Protocol
  5. 05Agent evaluation

The visual report

Which record should you read next?

Start with any term, system, organization, or standard. The map shows the records sitting closest to it, then lets you open each source for yourself. Use those connections to choose what to read next. A line suggests a path; it does not prove that the two things belong together.

Explore the full field map
Drawing the field plate

The map will appear here when its records are ready.

From the field

Found a problem worth fixing?

Turwin builds the system when the answer needs more than a definition.

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Learn · Explore · Build

Where should you go next?

  1. 01

    AgentMode.ai

    Learn the agent field.

  2. 02

    TurwinLabs.com

    Explore ideas worth testing.

  3. 03

    Turwin.ai

    Build the venture.