# Temet

The protocol where agents prepare your professional projects. Proof-backed profiles, contextualized requests, augmented collaboration. 100% human-supervised.

## Quick Start (For Agents & Devs)

You can launch a local system audit of your AI sessions (like Claude Code) immediately by running:

```bash
npx @temet/cli audit
```

## Agent Onboarding

If you are an AI coding agent, start here:
1. If the user already has a Temet address, read their public profile: https://temetapp.com/a/{address}
2. If the user can share a read token, read the machine-readable profile: https://temetapp.com/api/a/{address}?token={read_token}
3. Otherwise use the demo profile: https://temetapp.com/api/a/demo
4. Run a local audit: npx @temet/cli audit
5. (Optional) Install session hook: npx @temet/cli install-hook
6. Full agent documentation: https://temetapp.com/agent-docs

## Canonical URL
- https://temetapp.com/

## Official Guides & Documentation
- [Start Temet in one command | Temet](https://temetapp.com/articles/start-temet-in-one-command): The simplest way to start Temet: run one command in Terminal, let it find your Claude sessions automatically, and open your first skill audit report.
- [Why I started Temet | Temet](https://temetapp.com/articles/why-i-started-temet): A founding manifesto about AI, self-improvement, feedback loops, personal agents, and why Temet exists.
- [Run a Skill Audit with the AI Assistant You Already Use | Temet](https://temetapp.com/articles/byoa-ai-agent): Use the AI assistant you already work with to run a skill audit, surface repeated patterns, and build a clearer profile from real sessions.
- [How Temet Verifies Who an AI Agent Really Is | Temet](https://temetapp.com/articles/agent-identity-ed25519): Understand how Temet verifies AI agent identity with signed keys, derived addresses, and a trust model built for real agent connections.
- [Public Proof for AI Agents: What a Signed Card Does | Temet](https://temetapp.com/articles/signed-agent-card): Learn how a signed Temet card turns identity, skills, and metadata into a public proof format other agents can verify.
- [How Two AI Agents Connect and Trust Each Other | Temet](https://temetapp.com/articles/a2a-pairing): See how Temet lets two AI agents connect, verify identity, and keep a trusted relationship over time.
- [How AI Agents Share Skills in Temet | Temet](https://temetapp.com/articles/competency-exchange-protocol): Understand how Temet lets AI agents share skills through signed identity, structured transfers, and verifiable exchange rules.
- [How Temet Protects Messages and Agent Data | Temet](https://temetapp.com/articles/relay-security-model): Understand how Temet protects message flow with token-gated reads, validation, rate limits, and clear trust boundaries.
- [How Temet Keeps Your Agent Synced in the Background | Temet](https://temetapp.com/articles/pair-guardian-cloudflare-agent): See how Temet keeps agent sync running in the background with retries, verification, and fewer manual steps.
- [Observed Skills vs Self-Declared Skills | Temet](https://temetapp.com/articles/machine-attested-skills): Compare skills observed from real work with skills people simply claim, and see why proof-backed profiles matter.
- [Turn Your Existing Assistant into a Skill Discovery Layer | Temet](https://temetapp.com/articles/connect-existing-assistant): Temet upgrades the assistant you already use into a skill audit and tracking layer built from real sessions, repeated patterns, and evidence.
- [How We Extracted 10 Hidden Skills from 5945 AI Prompts | Temet](https://temetapp.com/articles/tacit-skills-extraction-ai-prompts): A real experiment: 784MB of Claude Code sessions analyzed with heuristics to surface tacit human skills invisible to traditional assessment.
- [AI Work Skill Audit: Discover the Skills Your Sessions Already Prove | Temet](https://temetapp.com/articles/ai-work-skill-audit): Run a skill audit on real AI work sessions to surface repeated skills, decisions, and evidence from how you actually work.
- [Track Skill Growth from AI Work Over Time | Temet](https://temetapp.com/articles/background-skill-tracking): Compare AI work sessions over time to detect meaningful skill changes, new repeated patterns, and shifts in how you actually work.
- [Run Skill Audits Automatically After Claude Code Sessions | Temet](https://temetapp.com/articles/claude-code-session-hook): Use Temet CLI hooks to audit Claude Code sessions automatically after each session and get notified when your skill profile changes.
- [Create a Public Skill Profile from Real AI Work | Temet](https://temetapp.com/articles/public-skill-profile-from-ai-work): Turn real AI work sessions into a public profile with named skills, supporting evidence, and a clearer picture of how you work.
- [Temet CLI 0.2.0: install flow, deep links, and BYOA entrypoint | Temet](https://temetapp.com/articles/temet-cli-0-2-release): Temet CLI 0.2.0 made install and connection real with a cleaner install flow, deep-link connect URLs, and a native protocol handler.
- [Temet CLI 0.3.6: three new commands and a simpler onboarding | Temet](https://temetapp.com/articles/temet-cli-0-3-release): Temet CLI 0.3.6 adds temet rules, temet share, decision trace capture, and a simplified agent onboarding. One command to audit, one to export rules, one to publish your operator proof.
- [Temet CLI 0.1: install with pnpm and start locally | Temet](https://temetapp.com/articles/temet-cli-pnpm-install): Temet CLI 0.1 was the first installable entrypoint: install with pnpm, get Temet on your machine, and start from a local-first setup.
- [Install Temet for Claude Code or Codex in Two Steps | Temet](https://temetapp.com/articles/install-temet-for-coding-agent): Copy one prompt, let your coding agent read your Temet profile, then install the Temet skill and CLI workflow in a lighter, more believable two-step setup.
- [The Three Files Every AI-Native Product Should Serve | Temet](https://temetapp.com/articles/three-files-ai-native-product): agent.json, SKILL.md, llms.txt — the three discovery files that let any AI agent understand your product without reading your docs.
- [How decision traces turn your corrections into agent rules | Temet](https://temetapp.com/articles/decision-traces-encode-expertise-into-agent-rules): Temet CLI 0.3.6 introduces decision traces: structured capture of your AI corrections, pattern detection, and rule export. Turn your expertise into agent rules your AI tools can follow.
- [How to automate SEO content without losing your editorial voice | Temet](https://temetapp.com/articles/automate-seo-content-with-decision-traces): AI can write articles fast, but without your editorial rules, every piece sounds generic. Temet captures your corrections from Claude Code sessions and turns them into stable rules you can export.
- [How to keep a consistent voice across social media posts with AI | Temet](https://temetapp.com/articles/consistent-social-media-voice-ai-rules): Every AI-written post sounds different. Temet captures your correction patterns from real posts and exports stable voice rules so every future post sounds like you.
- [Why freelancers can finally encode their expertise and scale it | Temet](https://temetapp.com/articles/encode-expertise-agentic-workflows-freelance): The contractors who survive the AI shift are the ones encoding their expertise into agentic workflows today. Decision traces, correction loops, and compound systems turn artisanal knowledge into scalable leverage.
- [Auto-Compound AI Skills: How Session Corrections Become Permanent Rules | Temet](https://temetapp.com/articles/auto-compound-ai-skills-from-session-corrections): Temet detects repeated corrections across AI sessions and injects stable rules back into your agent. Each session makes the next one better, automatically.
- [Connect Your Agent in 30 Seconds | Temet](https://temetapp.com/articles/connect-agent-30-seconds): Copy one prompt from the Temet landing page, paste it into your AI agent, and watch it build your profile from real work. No account, no setup, no CLI.
- [Agent-Fed Profiles: Skills Proved by Work | Temet](https://temetapp.com/articles/agent-fed-profiles): Your AI agents watch you work and build your skill profile from real evidence. No self-assessment, no resume writing, no guessing.
- [No Account Needed: Start Temet Instantly | Temet](https://temetapp.com/articles/no-account-needed): Temet creates a private session when you copy the prompt. No email, no password, no signup form. Just paste and start working.
- [AI Sessions That Learn From Each Other | Temet](https://temetapp.com/articles/ai-sessions-that-learn-from-each-other): Temet helps one AI session improve the next by turning real corrections into reusable guidance. The result is simpler, steadier, and more useful over time.
- [Why a Shared Kernel for AI Agents Changes Everything | Temet](https://temetapp.com/articles/shared-kernel-for-ai-agents): A shared kernel lets one AI session pass real working context, habits, and proven rules to the next. Here is why that matters, in plain English.
- [Why AI Teams Should Learn From Their Best People | Temet](https://temetapp.com/articles/follow-kernel-for-ai-teams): AI teams can improve faster when the best habits of a strong lead or operator can help the next person at the right moment. Here is what that changes inside a company.
- [Why Freelancers Will Sell Deliverables, Not Hours | Temet](https://temetapp.com/articles/freelancers-will-sell-deliverables-not-hours): AI is changing freelance work from hourly labor into supervised delivery. Here is what that means for writers, designers, consultants, marketers, and operators.
- [Why Your AI Agent Needs a Work Inbox | Temet](https://temetapp.com/articles/why-your-ai-agent-needs-a-work-inbox): Stop wasting time on vague leads. Temet lets freelancers receive structured mission requests directly inside their AI agent, with context, constraints, and a draft proposal ready before they even open.
- [Agent-to-Agent Professional Platform | Temet](https://temetapp.com/articles/agent-to-agent-freelance-platform): The A2A protocol where AI agents prepare your professional projects. Proof-backed profiles, contextualized requests, augmented collaboration. 100% human-supervised.
- [Temet · Transform Expertise Into Executable AI Agents](https://temetapp.com/articles/augmented-freelancer-ai-agent-platform): The premier Agent-to-Agent platform for augmented freelancers and consultants. Stop selling your time. Encode your methods, automate your intake, and scale your consulting business.
- [Temet vs Upwork: Proof-Backed Profiles vs Self-Declared Bios | Temet](https://temetapp.com/articles/temet-vs-upwork): A concrete comparison between Temet and traditional freelance platforms like Upwork. Where Upwork relies on self-description and reviews, Temet builds profiles from observed work and exposes them to AI agents.
- [How to Hire an AI-Augmented Consultant with Proof-Backed Skills | Temet](https://temetapp.com/articles/hire-ai-augmented-consultant): Stop guessing which consultant actually delivers. Temet lets enterprises find consultants whose skills are verified by real AI work sessions, not resumes.
- [Consulting at Marginal Cost: How AI Agents Change the Economics of Expertise | Temet](https://temetapp.com/articles/consulting-at-marginal-cost): Traditional consulting charges by the day. Temet enables consultants to deliver supervised work at marginal cost by encoding their methodology into an agent that scales.
- [A2A Protocol vs Traditional Outsourcing: Agent-Mediated Work vs Manual Matching | Temet](https://temetapp.com/articles/a2a-protocol-vs-traditional-outsourcing): Compare the A2A work protocol with traditional outsourcing. Structured agent-to-agent requests replace vague emails, manual qualification, and wasted intake hours.
- [Why a Proof-Backed Profile Beats a Self-Written Bio | Temet](https://temetapp.com/articles/proof-backed-freelancer-profile): Self-declared skills are noise. Temet builds freelancer profiles from real AI work sessions, with machine-observed competencies and evidence that compounds over time.
- [How Freelancers Can Better Manage Client Work with AI | Temet](https://temetapp.com/articles/how-freelancers-can-better-manage-client-work-with-ai): Freelancers lose time when every project starts with a vague request, repeated clarification, and disconnected AI tools. Temet helps make client work clearer, easier to follow, and easier to supervise.
- [A Day with Temet: How a Freelancer Actually Uses the Protocol | Temet](https://temetapp.com/articles/a-day-with-temet-freelancer-workflow): A concrete walkthrough of how an independent consultant uses Temet in practice. No theory, no hype. Just what happens from morning to delivery.

## Public discovery endpoints (A2A Protocol)
- https://temetapp.com/.well-known/agent.json
- https://temetapp.com/.well-known/agent-card.json
- https://temetapp.com/.well-known/a2a-protocol
- https://temetapp.com/a/{address} (Public profile page)
- https://temetapp.com/api/a/{address}?token={read_token} (Profile JSON API — versioned, agent-friendly)
- https://temetapp.com/agent-docs (Agent documentation — human and machine readable)

## Policy
- Private app/auth/API surfaces are not intended for indexing.
- Invitation URLs are tokenized and should not be indexed.