Microsoft TypeAgent is sample code exploring how a personal software agent can use natural-language interfaces to work with application agents. It is intended for investigating how language models can combine with structured software components for actions, memory, planning, and collaboration. The catalogue entries provide agents, skills, instructions, and an MCP integration for this project.
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 microsoft/TypeAgent --skill typeagent-memorygit clone --depth 1 https://github.com/microsoft/TypeAgentWrote 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/microsoft/typeagent/typeagent-memory)<a href="https://agentmods.dev/skills/microsoft/typeagent/typeagent-memory"><img src="https://agentmods.dev/badge/skills/microsoft/typeagent/typeagent-memory/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/microsoft/typeagent/typeagent-memory"><img src="https://agentmods.dev/badge/skills/microsoft/typeagent/typeagent-memory.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 | $0.00039 | $0.00246 |
| Opus 5.5 | $0.00016 | $0.00098 |
| Sonnet 5.5 | $0.00008 | $0.00049 |
| Haiku 4.5 | $0.00004 | $0.00025 |
Grade A, and why
typeagent-memory 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 1mo 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.
What it actually says
TypeAgent memory
This workspace has a persistent conversation memory. Turns are captured automatically. Use the tools when the user wants an explicit save or a direct lookup.
remember
Call remember when the user asks to remember a fact, or when you learn a durable workspace rule that later sessions must follow.
{
"memory": "This repo uses pnpm. Never run npm install here.",
"source": "chat"
}
recall
Call recall when the user asks what was decided, how something is done here, or what happened in an earlier session.
{ "query": "what package manager does this repo use?" }
Answer from the tool result. If type is NoAnswer, say you do not have that in memory.
Do not invent memories. Do not use these tools for the current turn's ordinary work when the injected memory context already answers the question.
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.
- 1mo ago First seen · 33 lines · 39 tokens per session scan A 7b0aefc26346
typeagent-memory is a skill published in the GitHub repository microsoft/TypeAgent (748 stars, last pushed yesterday), licensed MIT. It adds 39 tokens to every session and 246 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-25.
Other skills, from other repositories
forget
Remove a personal fact, preference, relationship detail, topic, or prior event from Muse's active memory and stop existing copies or automations from bringing it back. Use for explicit requests such as 'forget that', 'don't remember this about me', or 'remove that from your memory'. Do not use when 'forget it' merely…
mem0-oss-to-platform
Plan, then execute, a migration of a project from the mem0 open-source / self-hosted SDK (local Memory class) to the mem0 Platform / hosted SDK (MemoryClient). TRIGGER when: the developer wants to move, switch, or migrate mem0 off OSS/self-hosted to the hosted API, e.g. "migrate my mem0 setup to the platform", "switch…
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…
shellm
Reference for the shellm system — recursive LLM shell, identity management, memory, skills, trajectory, and all CLI tools. Use when working on shellm itself, debugging agent behavior, or understanding how the pieces fit together.