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-rust-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-rust-agent-memory-skills)<a href="https://agentmods.dev/skills/ax-llm/ax/ax-rust-agent-memory-skills"><img src="https://agentmods.dev/badge/skills/ax-llm/ax/ax-rust-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-rust-agent-memory-skills"><img src="https://agentmods.dev/badge/skills/ax-llm/ax/ax-rust-agent-memory-skills.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00041 | $0.00932 |
| Opus 5.5 | $0.00016 | $0.00373 |
| Sonnet 5.5 | $0.00008 | $0.00186 |
| Haiku 4.5 | $0.00004 | $0.00093 |
Grade A, and why
ax-rust-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.
This is a copy
91% identical to ax-python-agent-memory-skills — 30 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AxAgent Memory And Skills For Rust
This skill helps an agent write Rust code with the generated Ax package axllm. 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: Rust.
- Package:
axllm. - 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-quickjs.
Core Pattern
let helper = axllm::agent("question:string -> answer:string")?;
let out = helper.forward(&llm, inputs, None)?;
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.contextMapis TypeScript's context map: the distiller reads its text (TypeScript's section template when it has none), and after each completed run the context-map Distiller and Cartographer programs update it in place. Since 25.0.0 the text and item ids follow TypeScript's format ([rr-00002], a blank line before each section, a trailing newline); a map saved by a 24.x port loads with its items and is normalized by its next update.get_state()andset_state(...)preserve the legacy bare-runtime snapshot shape. Useexport_runtime_state()andrestore_runtime_state(...)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 7efbaac83454
- 6d ago Changed ccd7fbdb77f9
- 7d ago Changed cd8abb6158ca
- 9d ago Changed 7f7bd5134d21
- 10d ago Changed d2d6d212c8b6
- 12d ago Changed b9df655de7a6
- 14d ago Changed 4e2c81e43c26
- 16d ago Changed c28b8bd50419
- 19d ago Changed 1eaa762939af
- 20d ago First seen · 64 lines · 41 tokens per session scan A 69256b9b228d
ax-rust-agent-memory-skills is a skill published in the GitHub repository ax-llm/ax (2,971 stars, last pushed yesterday), licensed Apache-2.0. It adds 41 tokens to every session and 932 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to ax-python-agent-memory-skills, differing in 30 lines, and is treated as a copy.
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