clearai-dsh
ClearAI 认知闭环:提出假设、执行验证、记录证据并修订结论。
clearailhc
@clearailhc
⬇ 2
★ 17
main
安装
dsh plugin --profile web add github:clearailhc/clearai-dsh
需要可复现安装时,可在仓库后追加 #commit 固定提交。
ClearAI 认知闭环:提出假设、执行验证、记录证据并修订结论。
该插件未提供要点说明,请参考仓库 README。
agent-presetai-agentsdeepseek-harnessdsh-pluginscientific-discoveryepistemic-loop
- 安装并启动 DeepSeek Harness:
npx @deepseek-ai/dsh web - 在终端执行上面的安装命令(CLI 会解析插件并核验来源)
- 用 dsh plugins list 确认已安装,必要时重启 Harness 生效
插件以当前 dsh 进程的权限运行,安装时可能执行代码。请先通读仓库源码与许可证,确认无破坏性命令与越权访问;本站只做索引,不对第三方插件安全性作担保。
| 代码仓库 | github.com/clearailhc/clearai-dsh |
| 许可证 | Apache-2.0 |
| 主要语言 | main |
| 下载量 | 2 |
| GitHub 星标 | 17 |
| 最近推送 | 2026-09-16 |
| 收录日期 | 2026-09-19 |
| 分类 | 开发与运行时 |
事实信息来自公开插件目录快照(2026-10-03),介绍文案由本站再加工。
以下为插件仓库 README 全文(原始内容,由公开目录抓取整理)。
[图片: ClearAI] English · 中文 **From answers to evidence. From evidence to improvement.** ClearAI is a **native DSH plugin** that brings the Epistemic Loop to DeepSeek Harness. A language model can produce a plausible answer in seconds. ClearAI is about what happens next: stating what would test the idea, running the work, recording what happened, evaluating the evidence, and revising what is believed — so that a conclusion has to *earn* its status instead of asserting it. [图片: The Epistemic Loop] > Let the model explore. Let the mechanism protect the boundary of fact. --- ## Install One command, and it needs nothing but Node: ```bash npx clearai-dsh install ``` It resolves the DSH CLI (from your `PATH`, or through `npx`), installs the plugin into your `web` profile, and reads the composed config back so you are not taking "success" on faith. Underneath it is the host's own install, so this is the same command: `dsh plugin --profile web add clearai-dsh`. **Restart `dsh web` after that** (`npx @deepseek-ai/dsh web`). Both halves of the plugin are cached inside the running process, so refreshing the browser is not enough. Then open a session and pick **ClearAI** in the preset picker. If it stops because **pnpm is not on your `PATH`**: DSH manages a profile by driving pnpm, so it needs one. Install it with `npm install -g pnpm`, or your system package manager. Prefer that to `corepack enable`, which installs a version *router* rather than pnpm, and the corepack shipped with current Node can fetch a pnpm it is unable to launch. From a checkout (development, not the install path): ```bash npm test # 13 suites — the list lives in test/run.sh node tools/build-package.mjs # assemble dist/ from source node tools/verify-package.mjs # rebuild and compare byte-for-byte node tools/verify-clean-install.mjs # install into an empty DSH_HOME through the real CLI node docs/diagrams/build.mjs # regenerate the loop diagram (needs google-chrome) ``` `dist/` is generated and never committed. See [DSH integration](docs/dsh-integration.md). ## Why this is not just another agent loop Most agent loops track one thing: whether the task is done. The Epistemic Loop also tracks **how a conclusion came to be trusted**: | | Task loop | Epistemic Loop | |---|---|---| | Driving question | What do I do next? | What do we know, and on what grounds? | | Completion | The model declares it | The system computes it from delivered evidence | | Judgment | Whoever did the work | Separated — above a level, the doer cannot judge its own result | | Failure | Deleted, retried, forgotten | Kept: a refuted hypothesis is a result, not noise | ClearAI implements that loop as mechanism, not advice. State is derived from the session record rather than stored twice, progress and phases are computed, and the tools the model holds contain **no field in which it could declare a step complete**. ClearAI does **not** claim recursive self-improvement. It provides the epistemic substrate that a self-improving system would need: an honest account of what changed, what supports it, who evaluated it, and what failed. See [Positioning](docs/positioning.md) and the [OpenRSI survey](docs/research-openrsi.md) for where that boundary sits. ## The loop, stage by stage The Epistemic Loop has seven stages. At runtime, these stages compress into four beats—plan, execute, observe, reflect—for a simpler operating rhythm. | Stage | What the model does | What the mechanism guarantees | What you see | |---|---|---|---| | Frame | Bounds the question, assumptions, scope, and outcome | The inquiry starts with an explicit frame | Scope and assumptions | | Hypothesize | Records candidate explanations or routes | Propositions remain distinct from admitted facts | Hypotheses | | Plan | Defines executable, evidence-bearing steps and criteria | Completion is advanced only through governed paths | Inspectable plan | | Observe | Runs permitted work and records what happened | Admission checks eligibility, never truth | Observations and artifacts | | Verify | Tests observations against the stated criteria | Verification remains tied to the proposition and its limits | Checks and evidence | | Evaluate | Assesses support, uncertainty, and conflicts | Higher-level work can require independent evaluation | Evaluation and basis | | Record and act | Preserves the result and chooses the next bounded action | History is retained; unresolved claims stay qualified | Facts, limits, and next step | Full version: [The Epistemic Loop](docs/epistemic-loop.md) ## What it looks like The plugin contributes three surfaces on top of stock DSH: a **deliverables** view in the middle column, and **worldlines / propositions & facts / external brain** panes on the right. **Propositions and facts** — every claim is one row: its current standing, its level, and who judged it. Confirmed conclusions move to the shelf with their scope; refuted ones stay, with the evidence that refuted them.  **Worldlines** — when two routes genuinely disagree, they run as separate branches with their own readings; the record keeps the ones that lost, and adoption is a human decision.  **Deliverables** — the middle column shows what a plan declared and what actually exists on disk, and refuses to conflate the two.  **External brain** — skills and memory appear as native DSH entries in one merged catalogue, with the usage of this session next to them.  ## Where it lands in DSH ClearAI adds an epistemic layer on the DSH **composition surface** — one host package, one agent preset, one client module. The DSH engine is not modified. `/goal` `/plan` `/evidence` `/worldline` `/plan-review` are the human's read-only state windows in the `/` menu (computed from the ledger on the spot); todo, subagents, workflows and model switching are DSH-native — working style is unbounded, but none of it can write the authoritative ledger (the authority boundary is pinned by tests).  ## Cases Three cases, written to show what the loop does on questions where the honest answer is not a clean result: - [AI for Science](docs/cases/ai4sci.md) — convergence order of WENO reconstructions near critical points, and what "we could not resolve it" honestly means. - [Mathematics](docs/cases/mathematics.md) — keeping finite numerical evidence strictly separate from proof. - [Physical-world process experiment](docs/cases/physical-experiment.md) — keeping the loop intact when execution leaves the computer. They are illustrations of the mechanism, not shipped run records. ## Documentation - [Positioning](docs/positioning.md) - [Design principles](docs/design-principles.md) - [Soul map: principle → mechanism → test](docs/soul-map.md) - [Glossary](docs/glossary.md) - [Loop philosophy](docs/loop-philosophy.md) · [Verification ontology](docs/verification-loop.md) - [Known gaps](docs/known-gaps.md) · [Release verification](docs/release-verification.md) - [Convergence and slimming plan](docs/optimization/plan.md) · [Full-coverage design](docs/optimization/epistemic-coverage.md) · [Execution progress](docs/optimization/progress.zh-CN.md) ## Work attribution This project is developed and maintained under the work attribution of [基点起源](https://jidianqiyuan.com/). ## Star history [](https://star-history.com/#Clearailhc/clearai-dsh&Date) ## License Apache-2.0. See [LICENSE](LICENSE). ## Status This repository is the DSH-native ClearAI plugin library: a local-first epistemic workspace delivered through DSH. What is not implemented, and what has not yet been verified in a real browser, is listed explicitly in [known gaps](docs/known-gaps.md).
数据来源:公开的 DeepSeek Harness 插件目录与各插件 GitHub 仓库。本站为独立第三方目录,与 DeepSeek、幻方(High-Flyer)及插件作者均无隶属或背书关系。