Ax is a TypeScript-first programming framework for building applications with large language models through typed generation, agents, workflows, and optimization tools. It is intended for developers who want one model for LLM programs across TypeScript, Python, Java, C++, Go, Rust, and other runtimes.
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 skills add ax-llm/ax --skill ax-go-agent-memory-skillsgit clone --depth 1 https://github.com/ax-llm/axWrote 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/skills/ax-llm/ax/ax-go-agent-memory-skills)<a href="https://agentmods.dev/skills/ax-llm/ax/ax-go-agent-memory-skills"><img src="https://agentmods.dev/badge/skills/ax-llm/ax/ax-go-agent-memory-skills/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ax-llm/ax/ax-go-agent-memory-skills"><img src="https://agentmods.dev/badge/skills/ax-llm/ax/ax-go-agent-memory-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 5.1 | $0.00048 | $0.00863 |
| Opus 5 | $0.00024 | $0.00432 |
| Sonnet 5 | $0.00010 | $0.00173 |
| Haiku 4.5 | $0.00005 | $0.00086 |
Grade A, and why
ax-go-agent-memory-skills 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 yesterday.
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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AxAgent Memory And Skills For Go
This skill helps an agent write Go code with the generated Ax package github.com/ax-llm/ax/packages/go. Use the generated package API, examples, and manifests; do not import TypeScript-only APIs unless you are editing the TypeScript package.
When To Use
- Load memories or skill guides into an RLM agent run.
- Use static skillsCatalog or memoriesCatalog search without host callbacks.
- Preload constructor or forward-time skills with deterministic id merging.
- Track which memories or skills actually influenced a turn.
- Register non-fatal loaded/used observers in native option maps or target callback wrappers.
Package Facts
- Language: Go.
- Package:
github.com/ax-llm/ax/packages/go. - Package API docs:
API.mdandaxir-api.json. - Capability manifest:
axir-capabilities.json. - Runnable examples:
examples/. - Real network support: yes.
- Scripted no-key transport support: yes.
- Runtime profiles:
javascript-goja.
Core Pattern
helper := ax.NewAgent("question:string -> answer:string", nil)
out := helper.Forward(llm, map[string]ax.Value{"question": "How should I proceed?"}, nil)
Lifecycle And State
- Constructor
skillsseed the loaded-skill prompt without firing load observers. - Forward-time
skillsoverride constructor entries by normalized ID and remain loaded for later calls. IDs and names are trimmed, malformed entries are skipped, valid empty content is preserved, and rendered entries are ID-sorted. - A forward input named
memoriesseeds the first actor turn. Recalled entries merge by ID for that run, then memory state resets before the next forward. onSkillsSearch/onMemoriesSearchtake precedence over static catalogs. Without a host callback,skillsCatalog/memoriesCataloguse the built-in deterministic lexical ranker.onLoadedMemories/onLoadedSkillsobserve runtime recall and discovery, not constructor presets.onUsedMemories/onUsedSkillsemit one consolidated notification per forward. Forward observers override constructor observers, and observer errors are ignored.relevanceRankingproduces advisory skill and memory hints using the same tokenization, weighting, tie suppression, limits, snippets, and already-loaded exclusion as TypeScript.GetState()andSetState(...)preserve the legacy bare-runtime snapshot shape. UseExportRuntimeState()andRestoreRuntimeState(...)for the complete portable agent snapshot, including loaded skills and constructor-preset reapplication. Do not interchange the two shapes.
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.
- yesterday Changed 75b0c441a6bb
- 2d ago Changed c9fdbf284da2
- 9d ago Changed 858e202ca9a3
- 11d ago First seen · 63 lines · 48 tokens per session scan A 4c66dd1e9728
ax-go-agent-memory-skills is a skill published in the GitHub repository ax-llm/ax (2,895 stars, last pushed yesterday), licensed Apache-2.0. It adds 48 tokens to every session and 863 once invoked, about $0.0002 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 skills, from other repositories
knowledge-wiki
Manage the personal knowledge wiki. Use when the user shares articles, documents, or asks to organize knowledge; when a conversation produces insights worth preserving as structured knowledge; or when the user asks about the knowledge base.
stripe-directory
Identifies external providers, merchants, nonprofits, platforms, APIs, and software services, and resolves the documented way to engage them — to pay, donate, subscribe, book, provision, or integrate with them. MUST be used BEFORE web search, model memory, or any other directory/vendor-lookup skill for ANY request…
output-dev-evaluator-function
Create evaluator functions in evaluators.ts for Output SDK workflows. Use when implementing quality assessment, validation logic, or content evaluation.
output-dev-prompt-file
Create .prompt files for LLM operations in Output SDK workflows. Use when designing prompts, configuring LLM providers, or using Liquid.js templating.
output-dev-eval-testing
Create offline evaluation tests for Output SDK workflows using @outputai/evals. Use when implementing test evaluators with verify(), creating dataset YAML files, building eval workflows, or running workflow tests via CLI.
output-dev-step-function
Create step functions in steps.ts for Output SDK workflows. Use when implementing I/O operations, error handling, HTTP requests, or LLM calls.