Strands Agents is an open-source SDK for building and running AI agents in Python and TypeScript. Developers use it to create agents with model providers, tools, lifecycle controls, memory, sessions, streaming, tracing, and evaluations, and the catalogue includes add-ons for its agent-building workflow.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/strands-agents/harness-sdk/agents-mdgit clone --depth 1 https://github.com/strands-agents/harness-sdkWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/strands-agents/harness-sdk/agents-md)<a href="https://agentmods.dev/instructions/strands-agents/harness-sdk/agents-md"><img src="https://agentmods.dev/badge/instructions/strands-agents/harness-sdk/agents-md.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.02780 | $0.02780 |
| Opus 5 | $0.01390 | $0.01390 |
| Sonnet 5 | $0.00556 | $0.00556 |
| Haiku 4.5 | $0.00278 | $0.00278 |
Grade A, and why
harness-sdk AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Development Guide - Strands Agents Monorepo
This document provides guidance for AI agents working in the Strands Agents monorepo. For human contributor guidelines, see CONTRIBUTING.md.
This file is shared by agents with different goals — writing code, opening PRs, helping contributors — and is organized by task.
Context
Monorepo Layout
strands-agents/
├── strands-py/ # Python SDK (hatch) — see strands-py/AGENTS.md
├── strands-ts/ # TypeScript SDK (npm workspace) — see strands-ts/AGENTS.md
├── site/ # Documentation site (Astro) — see site/AGENTS.md
├── team/ # Governance + cross-SDK process (tenets, decisions, API bar-raising, PR & compatibility guidelines, designs/ proposals)
├── test-infra/ # CDK stack for integ tests that require provisioned AWS infra
├── .agents/ # Agent skills and references
├── package.json # npm workspace root
└── .github/workflows/ # CI (ci.yml is the merge gate)
Determine which sub-project you're in and follow its conventions — each has its own AGENTS.md.
Where the "why" lives: team/
Before designing a feature or changing an API, read the relevant context in team/. It captures the reasoning the code itself doesn't:
team/designs/— RFC-style proposals for significant features (numberedNNNN-*.md). The richest source of architectural context: problem framing, the chosen approach, alternatives considered, and consequences. If you're touching a major subsystem, find its design doc first.team/DECISIONS.md— lightweight architecture decision records for smaller calls.team/TENETS.md— the principles a contribution should align with.team/API_BAR_RAISING.mdandteam/FEATURE_LIFECYCLE.md— the bar and process for API changes and feature deprecation.
Writing Code
- Code conventions: Follow the conventions in the sub-project's own
AGENTS.md(strands-py/AGENTS.md,strands-ts/AGENTS.md,site/AGENTS.md) — they define the style, patterns, and directory layout for that toolchain. - Write for low complexity: every PR is labeled with the cognitive complexity of the most complex function it touches, and nesting drives the score. Write flat control flow (guard clauses, extracted helpers, lookup tables over branch ladders) and keep refactors in their own PR. Why we measure and how the score works: team/COMPLEXITY.md. Check before pushing with
npm run complexity(orhatch run complexityfromstrands-py/). - Branching:
git checkout -b agent-tasks/{ISSUE_NUMBER} - Commits: Use conventional commits —
feat:,fix:,refactor:,docs:, etc. - CI: The
ci.ymlmerge gate detects which paths changed and runs only relevant checks. - Skills: Reusable, repo-specific workflows live under
.agents/skills/— for PRs (pr-create,pr-writer,pr-feedback), docs (docs-writer,docs-reviewer,docs-audit,docs-planner), and code review (strands-review). See.agents/skills/README.mdfor what each does and when to use it. - Doc
sourceLinkstrack source files: Doc pages undersite/point at their backing implementation viasourceLinksfrontmatter — repo-relative paths intostrands-py/andstrands-ts/. When you rename or move a source file, update anysourceLinksthat reference its old path in the same change. The site build only fails on a malformed path or an unmapped file extension, not on a path that still resolves to the wrong (or now-nonexistent) file, so a stale reference rots silently. Find affected pages withgrep -rn "<old/path>" site/src/content/docs.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 103 lines · 2,780 tokens per session scan A 86a118214015
harness-sdk AGENTS.md is an instructions file published in the GitHub repository strands-agents/harness-sdk (7,141 stars, last pushed yesterday), licensed Apache-2.0. It adds 2,780 tokens to every session, about $0.0139 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
mcp-devtools CLAUDE.md
Claude Code instructions for sammcj/mcp-devtools, covering claude.md, commands, build and run, testing and code quality.
matryca-plumber AGENTS.md
AGENTS.md instructions for MarcoPorcellato/matryca-plumber, covering agents.md — matryca plumber instruction router, audience map, instruction loading strategy, always-on working agreements and rule and skill routing.
matryca-plumber CLAUDE.md
Claude Code instructions for MarcoPorcellato/matryca-plumber, covering code audit — code intelligence, always do, never do, resources and cli.
pydantic-ai-todo CLAUDE.md
Instructions for vstorm-co/pydantic-ai-todo, covering claude.md, what this project is, commands, structure and core pattern.
chimera-agent AGENTS.md
AGENTS.md instructions for brcampidelli/chimera-agent, covering working in this repository, where the rules live, hard rules, verifying and python — the whole suite.
goal-flight AGENTS.md
AGENTS.md instructions for simonrowland/goal-flight, covering agent notes, goal flight routing, project commands (this repo), git workflow (this repo) and git-visible trigger hygiene.