Workflows
12 recipes, filter by use case, license, or difficulty.
QM: prove the destructive-action denials hold in every security posture, even the loosest
Run YC's company-wide QM agent with one org-wide security posture, and prove the predeclared hard denials (recursive delete, destructive SQL, mass delete) are refused in every posture including the loosest, so loosening the posture only relaxes approvals, never the destructive-action guardrails.
Verify an agent-skills plugin before you ship or install it
Check that a Claude Code / agentskills.io skills package is structurally valid, every SKILL.md has proper frontmatter and a name matching its folder, and the plugin marketplace manifest parses, so a broken skill never fails to load after you publish it.
E2B: run model-written code in a sandbox, not on your box
Execute AI-generated code in an isolated E2B cloud sandbox with the API key read from the environment, so untrusted code never touches your laptop or prod.
Write an agent loop in code with smolagents (sandboxed)
Stand up a smolagents CodeAgent that writes Python to act instead of emitting JSON tool calls, and run that model-written code in a sandbox, not on your machine.
Hermes /learn: author a reusable skill from a source, not by hand
Use Hermes Agent's /learn to turn a doc, a repo, or a workflow you just performed into a standards-compliant SKILL.md (and an automatic slash command), instead of hand-writing a skill file that drifts from the real docs.
Hermes + OKF: a knowledge folder your agent reads before it answers
Wire an OKF knowledge bundle into Hermes so the agent reads knowledge/index.md first, validated bundle conformance + a SOUL.md house rule that points at it.
OKF: turn your repo's tribal knowledge into a bundle your agent reads first
Write one markdown concept per thing worth knowing, cross-linked, as a conformant OKF bundle in version control that any agent can read with no SDK.
Hermes + DeepSeek V4 Flash: a one-line reasoning-effort throttle
Run one model from cheap-and-fast to deep-and-careful with a single reasoning_effort setting, so you don't pay for deep thinking on easy turns.
Hermes on MiMo-V2.5: a 1M-context agent for pennies
Set MiMo-V2.5 as your everyday Hermes model: 1M context at $0.14/$0.28 per 1M tokens, with tool-use enforcement on for a non-GPT model.
Mem0: A Personalization Layer Your Assistant Remembers With
Add user, session, and agent-level memory to an assistant so it remembers preferences across conversations.
Mnemosyne: Fully Local Agent Memory, No Cloud at All
Give your agent persistent memory in a single SQLite file: store a fact, recall it by keyword, fully offline.
Meeting Processor: Raw Dump to Structured Note
Paste a raw meeting dump into your vault and have Claude turn it into action items, decisions, and links.