cognee-cli

审查 · 66
已收录

Use when the user wants to drive cognee from the terminal with cognee-cli — remember/recall/forget/improve memory commands, managing datasets and config, or database migrations.

Verified installs0
Stars30.2K
版本1.0.0
质量92/100 · 优秀
信任66/100 · 仅限沙盒
审计83/100 · 需审查

供给资产档案

数据、BI 与分析

CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis.

浏览赛道

场景

Database and SQL

I need my agent to inspect database schemas, write SQL, and explain query results.

适配 Agent

Claude Code + CLI + Codex

适用于 Codex、Claude Code、Cursor、CLI 或自定义 Agent。

安装

就绪

npx skills add topoteretes/cognee --skill cognee-cli

维护状态

新鲜

今天有推送

风险

需审查

Dependency or permission surface needs review

GitHub 质量

30K

92/100 质量 · 74/100 信任

覆盖标签

数据Database and SQLdata-analysisagent-skill

审查说明

Dependency or permission surface needs review · Permission surface may require sandboxing

Agent 采用评分卡

一眼查看信任、审计与安装准备度

这些分数综合公开仓库元数据、OpenAgentSkill 审查信号、维护新鲜度与安装准备度。它用于候选筛选,不替代人工审查。

质量

优秀
92

高置信候选,具有较强的采用度与健康维护信号。

信任

仅限沙盒
66

有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。

审计

需审查
83

对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。

OpenAgentSkill 信任评分 v5

安装前需人工审查

仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

30K 个 GitHub Stars

仓库活跃度

30K 个 Star,3.0K 个 Fork

维护状态

今天有推送

许可证

Apache-2.0

安装

npx skills add topoteretes/cognee --skill cognee-cli

安装安全性

标准软件包或运行时安装路径

权限范围

secrets or environment access, shell or command execution

Agent 结果

暂未有 Agent 结果数据

文档

README/SKILL.md 上下文充分

风险摘要

生产前审查

  • The skill documents `forget --all` as a destructive command without confirmation, but it clearly warns users about this risk, so it's acceptable.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Dependency/runtime risk: command execution surface, credential or environment access

安装准备度

安装路径可用

  • 安装路径可用
  • 仓库证据可用
  • 已声明许可证
  • 暂无 Agent 验证结果证据

Agent 可读元数据

这个 Skill 的机器可读决策数据。

使用此区块或内嵌 JSON 判断 Agent 是否应安装该 Skill、选择替代方案,或先请求人工审查。

打开 JSON

适用任务

  • 研究 Agent 工作流
  • Claude Code 团队
  • 重视 GitHub 采用信号的团队
  • 检索来源

适用 Agent

CodexClaude CodeCursorOpenAgentSkill CLICLI

安装决策

命令
npx skills add topoteretes/cognee --skill cognee-cli
策略
审查
人工审查

信任与风险

信任
66/100
审计
83/100
风险级别
需审查

结果闭环

端点
/api/agent/outcome
事件 ID
resolve
结果
5

安装命令

npx skills add topoteretes/cognee --skill cognee-cli

不适用场景

  • 需要厂商支持 SLA 的团队
  • production agents without a repository review
  • The skill documents `forget --all` as a destructive command without confirmation, but it clearly warns users about this risk, so it's acceptable.
  • 暂未有 OpenAgentSkill 使用反馈数据
  • 高风险权限提示:Shell or command execution, Secrets or environment access

Agent 安全 v2

39/100 · 避免自动安装

实验性审查

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

通过 API 解析

Shell 或命令执行

Skill 元数据引用了终端、CLI、Shell、子进程或命令执行工作流。

网络访问

Skill 可能访问远程页面、API、仓库或外部服务。

文件系统访问

Skill 可能读取或写入项目文件、文档、生成产物或本地工作区状态。

Secrets or environment access

Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.

  • 高风险权限提示:Shell or command execution, Secrets or environment access
  • Dependency or permission surface needs review

安装目标

在你的 Agent 工作流中安装此 Skill

通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install topoteretes-cognee-cli

Agent 解析计划

让 Agent 在安装前验证匹配度。

Resolve API 返回首选 Skill、替代方案、安全策略、审计说明、安装目标和可直接执行的提示词,无需抓取此页面。

打开文本计划

Agent 应检查

  • 从 Resolve API 检查任务匹配与替代方案。
  • 检查审计评分、信任评分和安全策略警告。
  • 检查 Codex、Claude Code、Cursor 或 CLI 的安装目标兼容性。

复制提示词

Task: Use cognee-cli in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20cognee-cli%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/topoteretes-cognee-cli/install
Install command: npx skills add topoteretes/cognee --skill cognee-cli
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent 交接

把安装路径交给 Agent,而不是再给一个目录页。

通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。

打开安装 API

Agent 提示词

Use cognee-cli for this task. Review https://www.openagentskill.com/api/skills/topoteretes-cognee-cli/install, then install with: npx skills add topoteretes/cognee --skill cognee-cli

Registry 元数据

用于自动选择 Skill 的 Agent 可读档案。

本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号,让 Agent 无需抓取界面即可排序。

打开 Manifest

适配 Agent

100/100

研究 Agent

平台

Claude Code

审计报告

需审查 · 83/100

对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。

查看审计报告查看评估报告

Agent 决策面板

适合 研究 Agent 的首选

将其作为优先候选,再在你的 Agent 环境中验证 README 与安装路径。

100
就绪度
采用
阶段

栈中角色

首选

主要匹配

研究 Agent

信任标签

可用于生产

安装路径

命令已就绪

适用场景

  • 研究 Agent 工作流
  • Claude Code 团队
  • 重视 GitHub 采用信号的团队

证据

  • 30,192 个 GitHub Stars
  • 仓库近期活跃
  • 已提供安装命令或 GitHub 仓库
  • 92/100 质量档案

先审查

  • The skill documents `forget --all` as a destructive command without confirmation, but it clearly warns users about this risk, so it's acceptable.
  • 暂未有 OpenAgentSkill 使用反馈数据

实施路径

  1. 1在沙盒 Agent 中安装它,并端到端完成一次研究 Agent任务。
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

信任档案

仅限沙盒

有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。

66
OpenAgentSkill 信任评分

GitHub 采用度

通过

30K 个 GitHub Stars

Star/Fork 活跃度

通过

30K 个 Star,3.0K 个 Fork; 当前元数据中没有议题活跃度信息

近期维护

通过

今天有推送

许可证清晰度

通过

Apache-2.0

积极信号

  • AI 审查已通过
  • 安装路径可用
  • 仓库证据可用
  • 近期维护的仓库
  • Large GitHub adoption signal
  • 安装命令未发现明显高风险模式
  • 结果闭环已就绪,但需要首次真实 Agent 运行

安装前审查

  • The skill documents `forget --all` as a destructive command without confirmation, but it clearly warns users about this risk, so it's acceptable.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
  • 暂未有真实 Agent 结果报告
  • 无人值守安装前需要人工审查

建议操作

仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。

质量档案

优秀 适用于 Agent 工作流的候选

高置信候选,具有较强的采用度与健康维护信号。

92
GitHub Stars
30K
新鲜度
今天
安装就绪
许可证
Apache-2.0
安装前审查: The skill documents `forget --all` as a destructive command without confirmation, but it clearly warns users about this risk, so it's acceptable.

工作流匹配

在这些场景使用此 Skill

工作流匹配

加入完整工作流

替代方案短名单

安装前对比

可能适合该任务的相近 Skill。

对比全部

概览

--- name: cognee-cli description: Use when the user wants to drive cognee from the terminal with cognee-cli — remember/recall/forget/improve memory commands, managing datasets and config, or database migrations. ---

# Use the cognee CLI

`cognee-cli` ships with the package (entry point in `cognee/cli/_cognee.py`; each command lives in `cognee/cli/commands/`). Every command has `--help` with examples — prefer that over guessing flags. Needs `LLM_API_KEY` configured, same as the SDK.

## Core flow

The memory commands are the primary surface as of cognee 1.x:

```bash cognee-cli remember "Your text here" # also accepts file paths / URLs cognee-cli remember ./docs --dataset-name my_project cognee-cli recall "Your question" # query the graph cognee-cli recall "keyword" --query-type CHUNKS cognee-cli forget --all # wipe local state ```

`remember` is ingest + graph build in one step (`add` + `cognify` under the hood); `--background`/`-b` runs the cognify stage in the background, and `--dry-run` estimates LLM tokens/cost without ingesting. `recall` takes `--datasets`/`-d`, `--top-k`/`-k` (default 10), and `--session-id`/`-s`.

`forget` targets `--dataset`, `--dataset-id`, `--data-id` (needs a dataset), or `--everything`/`--all` — one unified command covering what `delete`, `prune`, and `empty_dataset` used to do separately.

> **`forget --all` does not ask for confirmation.** It deletes every dataset > immediately, even on a non-interactive stdin. The legacy `delete --all` > prompts `Delete ALL data from cognee? [y/N]` first, so switching to `forget` > silently drops that safety net — script it with care.

Search types match exactly 7 of the SDK's `SearchType` enum (`cognee/modules/search/types/SearchType.py`), those 7 being chosen in (`cognee/cli/config.py:SEARCH_TYPE_CHOICES`): GRAPH_COMPLETION, RAG_COMPLETION, CHUNKS, SUMMARIES, CODE, CYPHER, GRAPH_REPORT Others must be reached from the SDK, not CLI; e.g. call cognee.recall with `query_type=SearchType.TEMPORAL`

Note the CLI defaults `--query-type` to `GRAPH_COMPLETION`, whereas the SDK's `cognee.recall()` auto-routes when `query_type` is omitted.

## Session memory and enrichment

Session entries are currently written from the SDK — `cognee.remember(..., session_id="chat_1")` — not the CLI (`cognee-cli remember` has no session flag). The CLI side of session memory is reading and bridging:

```bash cognee-cli recall "question" -s chat_1 # session cache first: without -d/-t # this searches the session directly cognee-cli sessions get # retrieve session Q&A history cognee-cli improve -d my_project -s chat_1 # bridge session content into the graph cognee-cli improve -d my_project # enrich/index the graph (no session) cognee-cli feedback ... # attach feedback to results ```

`improve` also takes `--node-name`, `--feedback-alpha` (default 0.1), and `--background`/`-b`. `remember`/`improve` build their graphs through `cognify()`, so cognify-level settings (e.g. `CONTRADICTION_DETECTION=true`) apply to them too.

## Legacy / lower-level commands

`add`, `cognify`, `search`, `memify`, and `delete` still ship and are what the memory commands call underneath. Use them only to drive a single stage in isolation; prefer `remember`/`recall`/`forget`/`improve` otherwise.

```bash cognee-cli add "text" && cognee-cli cognify # what `remember` does in one step cognee-cli search "question" # `recall` minus routing/scope/session sources cognee-cli memify -d my_project # custom extraction/enrichment tasks cognee-cli delete --all # superseded by `forget --all` ```

## Management

```bash cognee-cli datasets list # dataset operations cognee-cli config get [key] [--show-secrets] # view one/all settings (API keys masked by default) cognee-cli config set <key> <value> # set + persist to ./.env in the cwd cognee-cli config unset <key> # reset a key to its default (also persisted) cognee-cli -ui # launch API server + UI (see cognee-server skill) cognee-cli serve --url http://localhost:8000 # connect CLI/SDK to a running instance ```

## Relational DB migrations (Alembic)

```bash cognee-cli upgrade # apply migrations cognee-cli downgrade cognee-cli history cognee-cli current ```

Typically needed after version upgrades when the server refuses to start on an old schema.

## Gotchas

- The CLI initializes cognee lazily; the first command in a fresh environment is slow (DB + model setup), later ones are fast. - `remember` (and `add`) without `--dataset-name` targets the default dataset `main_dataset`; `recall`/`search` operate across your accessible datasets unless a dataset is given. - `forget` refuses to run bare — pass `--dataset`, `--dataset-id`, `--data-id` (with a dataset), or `--everything`/`--all`. - Session commands (`recall -s`, `sessions get`, `improve -s`) require `CACHING=true` (the default) — with it off, session reads return nothing and SDK session writes raise. To cut read latency and token cost while keeping session memory, `cognee-cli config set AUTO_FEEDBACK false` — by default cognee makes one structured-output LLM call per answered query to self-tune its memory. - `memify` requires one of the arguments -d/--dataset-name --dataset-id - `config set`/`config unset` write to the `.env` file in whatever directory you run the command from (creating it if missing). `config reset` (reset *all* keys) is still not implemented. - **Which `.env` actually wins is not always the cwd one.** At import, cognee calls `dotenv.load_dotenv(override=True)`, which resolves relative to the *cognee package location*, not your working directory. In a source/editable checkout (`uv pip install -e .`) a `.env` at the repo root therefore shadows the `.env` in the directory you ran from — and because `override=True`, it also beats variables you `export`ed. Symptom: `config set` appears to do nothing, or the CLI connects to a backend you thought you had overridden. To test against different settings, move the repo `.env` aside, or set values programmatically after import (`cognee.config.set_*`). (Under `python -c` the cwd `.env` does win, because dotenv falls back to the cwd when `__main__` has no `__file__` — which is why the same command can behave differently as a script vs. `-c`.)

技术详情

版本
1.0.0
许可证
Apache-2.0
最近更新
2026年8月23日
发布时间
2026年8月23日

决策摘要

首选

100
就绪
采用
阶段

30,192 个 GitHub Stars

审计

安装审查

安装与采用审查

83
需审查
安全性
69/100
维护状态
100/100
安装
92/100
打开完整审计查看评估报告

Agent 验证证据

Agent 验证证据

来自解析、审查、安装和一次小范围运行后的结果报告。

0
已验证
Needs first agent run自动安装: 先审查最近: 未知
成功率
近期失败
结果
0
输出质量
失败
0
不相关
0
安装次数
0
风险拦截
0
需要配置
0
生产环境
0

暂时没有 Agent 结果数据。首次 Agent 执行可以通过 /api/agent/outcome 报告成功、需要设置、风险拦截、失败或不相关。

安装

加入 Agent 工作流

免费且开源. 在生产 Agent 中安装前请先审查报告。

增长闭环

分享工具包

X

为 cognee-cli 准备的场景化草稿,可手动发布到 X。

策展说明
cognee-cli: Use when the user wants to drive cognee from the terminal with cognee-cli — remember/recall/f...

30.2K stars

https://www.openagentskill.com/skills/topoteretes-cognee-cli?ref=x
打开 X 草稿
可选:带安装命令的回复
Listing + install path for cognee-cli:
https://www.openagentskill.com/skills/topoteretes-cognee-cli?ref=x

Install: npx skills add topoteretes/cognee --skill cognee-cli
打开回复草稿

收录来源

Registry 收录

可认领

此列表来自公开来源,维护者认领获批前不会标记为官方。

创作者
topoteretes
收录方
OpenAgentSkill 社区索引

归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。

认领此 Skill

所有者认领

认领此 Skill 页面

这条 Registry 收录 列表归属于 topoteretes,但尚未标记为官方。认领后可增加已验证所有者信号,使后续发布、安装和审计更新更值得信赖。

创作者外链工具包

将证据徽章加入你的 README

在开发者评估仓库的位置展示规范页面、当前信任与审计信号,以及真实的 Agent 验证证据。

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/topoteretes-cognee-cli?metric=listed&label=Listed)](https://www.openagentskill.com/skills/topoteretes-cognee-cli)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/topoteretes-cognee-cli?metric=trust&label=Trust)](https://www.openagentskill.com/skills/topoteretes-cognee-cli)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/topoteretes-cognee-cli?metric=audit&label=Audit)](https://www.openagentskill.com/skills/topoteretes-cognee-cli/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/topoteretes-cognee-cli?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/topoteretes-cognee-cli)

作者

T

topoteretes

@topoteretes

平台适配

健康信号

GitHub Stars
30.2K
质量评分
55/100
最近 GitHub 推送
2026年8月23日
框架提示
未知
OpenAgentSkill 浏览量
0
复制安装命令
0
跳转点击
0

社区信号

告诉我们这个 Skill 是否对你的 Agent 工作流有帮助。汇总反馈会持续改善排序。

信任与安全

仅限沙盒

66
  • GitHub 采用度30K 个 GitHub Stars通过
  • Star/Fork 活跃度30K 个 Star,3.0K 个 Fork; 当前元数据中没有议题活跃度信息通过
  • 近期维护今天有推送通过
  • 许可证清晰度Apache-2.0通过
  • README/SKILL.md 完整度元数据包含足够的用法与工作流上下文通过
  • 依赖与运行时风险command execution surface, credential or environment access修复