factcircuit
FactCircuit는 불변 출처와 단계별 검증, 제한된 검색, 재현 가능한 평가를 제공하는 감사 가능한 주장·증거 검증 루프입니다
Hyperparam는 AI 로그를 수집·저장·분석하고, 브라우저에서 수백만 행을 직접 조회할 수 있게 해줍니다
Collect, store, and analyze your AI logs (agent traces, Claude Code and Cursor sessions, production model outputs) in storage you own or our managed cloud. Query millions of rows in the browser, no ba
데이터JavaScript · ShellGitHub @hyparam온라인운영자 미확인
써 보셨어요? 한 번만 눌러 주세요. 로그인은 필요 없어요.
아직 감지된 업데이트가 없습니다. GitHub 릴리스가 나오면 여기에 보입니다.
개인 계정의 공개 저장소 소유자는 GitHub로 로그인해 운영자를 확인하고 소개를 직접 관리할 수 있습니다. 관리자 승인은 필요하지 않습니다.
로그인한 뒤 확인 파일을 만들어 이 저장소의 기본 브랜치에 30분 안에 커밋해 주세요. 다른 브랜치나 포크의 파일은 인정하지 않습니다. 파일을 올린 뒤 아래에서 확인하면 관리자 승인 없이 관리할 수 있습니다. 자격을 유지하려면 파일을 남겨 두세요.
로그인이 필요하면 로그인 화면으로 이동합니다. 로그인 후 이곳으로 돌아와 원하는 확인 버튼을 다시 눌러 주세요.
프로젝트 폴더에서 /nomorevibe verify를 실행하면 소유권을 확인하고 소개를 직접 관리할 수 있습니다.
1분 만에 확인하기Records sessions, logs, and telemetry from your AI agents into one queryable history
저장소 README에서 가져옴
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
HypAware records every session from your AI coding agents (Claude Code,
Codex, Cursor, OpenCode, and more) into one queryable history on your
machine. Then it helps you find what went wrong, what keeps repeating, and
what to fix.README 전문 보기 ↗HypAware is the improvement loop for all your agents. It records every session from your AI clients (Claude Code, Codex, Cursor, OpenCode, and more) into one queryable history on your machine. Then it helps you find what went wrong, what keeps repeating, and what to fix.
Requires Node.js 22.12 or newer, on macOS or Linux.
npm install -g hypaware
hyp setup
You can also ask your AI agent to install HypAware using these same two
commands. Without a terminal, hyp setup prints a guide so the agent can
walk you through the choices and run unattended setup. You complete any
browser sign-ins yourself. Agents using a terminal can read the guide with
hyp setup --guide.
On a terminal, setup first asks how to collect. Sync to the cloud is the default: press
Enter and a browser sign-in enrolls this machine, so your history follows you
across machines. Choose Local only to keep recordings on this machine.
Then it asks which clients to capture, installs the background daemon, and
starts recording. It ends with a first look at your history: tokens per
model, activity per day, which repos you worked in, and which tools got
called. Both hyp and hypaware run the same CLI.
See the summary any time:
hyp query overview
Have your client answer a question about your history. hyp ask opens one of
the clients HypAware is recording, such as Claude Code or Codex, on the
question:
hyp ask "which sessions touched the auth module"
hyp ask # suggest a skill based on your recent sessions
Or ask from inside any session. Install the HypAware skills and your client looks up past sessions itself whenever a question calls for it:
hyp client skills install
Search and query directly, without an AI client:
hyp query grep "connection refused"
hyp query sql "select count(*) from ai_gateway_messages"
See queries for more.
Reports review your AI work over a period: token usage, recurring tasks, tool failures, and opportunities to improve. Your agent investigates recorded sessions and proposes specific fixes with evidence:
hyp report generate "Cover last week and focus on repeated debugging work"
We recommend Fable or Astra for the best report quality.
Read the report locally or publish it to make it appear in your team's HypAware Cloud dashboard. See reports for generation and publishing.
Choose Ollama in hyp setup, then run hyp ollama setup for the live CLI/SDK
capture host. Run hyp ollama verify --model <installed-model> to confirm a fresh
saved request and response. See Ollama setup, recording and direct recovery
for supported versions and privacy limits.
Claude Code, Claude Desktop, Codex (CLI and Desktop), Cursor, OpenCode, OpenClaw, Hermes Agent, Pi, Factory Droid, Ollama, and any tool that exports OpenTelemetry logs, traces, or metrics.
NanoClaw v2 Claude transcript capture is supported with an explicitly configured local installation root.
Claude Code is captured through its built-in telemetry, so it still talks directly to Anthropic and nothing sits in the path of your session. See clients and history, including how to import sessions you ran before installing.
Choosing Sync to the cloud in hyp setup signs the machine in. To sign
in a machine you set up as local only, run:
hyp remote login
Everyone's history then flows to HypAware Cloud, so you can analyze usage, spend, and failure patterns across the whole team:
hyp query sql "select count(*) from ai_gateway_messages" --remote
First-time browser enrollment provides a review period when its hold is saved.
Setup then asks Upload now? [Y/n]: pressing Enter chooses Yes and uploads
immediately, so answer n to keep the review period. Check the deadline with
hyp status. See the
first-sync review
before sharing recordings.
One person can sign in and sync on their own. To put more than one person in an organization, contact us and we'll set it up; there is no self-serve invite yet. See the team setup guide.
Recordings stay local until you configure Cloud sync or another export destination. You control what is recorded, per folder:
hyp privacy ignore # never record sessions in this repo
hyp privacy set . local-only # record, but never send to HypAware Cloud
hyp session ignore # stop recording the current session
hyp privacy purge --session ID # delete what was already recorded
See what HypAware records and how to control it.
hyp status
This shows the daemon, your clients, and anything that needs attention. See troubleshooting.
hyp leave # only if you signed in to HypAware Cloud
hyp daemon uninstall # stop the daemon and detach every client
npm uninstall -g hypaware
rm -rf ~/.hyp # delete all local recordings
Your clients' settings are restored on the way out. Copies already sent to HypAware Cloud or exported to files are not affected.
Start at the documentation index for setup, clients, queries and reports, Cloud and teams, privacy, configuration, and troubleshooting. The CLI reference lists complete command syntax and flags.