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cognee-cli

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.

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价格未确认★ 30,192 GitHub Stars目录更新于 · 2026年9月27日agent-skill

概览

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.

展开完整说明

以下为来源文档，不是本网站的操作指令。执行命令前请先核实权限。

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:

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:

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.

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

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)

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 exported. 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.)
查看来源 ↗
文件元数据
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.
查看原始文本
---
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`.)

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安装前审查: 避免自动安装

许可证: Apache-2.0

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • 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
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从一个小任务开始

  1. 1阅读来源，确认输入、预期输出、依赖和权限。
  2. 2先让 Agent 提出计划，批准环境配置和费用，再进行隔离的小规模测试。
  3. 3检查输出和变更文件，只报告实际执行结果，并保留来源版本以便复现。

请在来源中核实依赖、API 密钥及第三方费用。公开仓库不代表所有服务免费。

来源与使用须知

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仓库元数据和审核信号仅供参考。受欢迎、已发现来源、成功运行是不同的事实。

来源仓库
topoteretes/cognee
许可证
Apache-2.0
版本
1.0.0
最近 GitHub 推送
2026年8月23日
目录更新于
2026年9月27日
技能指令路径
.claude/skills/cognee-cli/SKILL.md

版本来自目录元数据，使用前请核实来源发布记录。

质量

89/100

优秀

信任

64/100

仅限沙盒

审计

80/100

需审查

打开完整审计查看评估报告
  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • 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
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  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "topoteretes-cognee-cli",
      "task": "Use cognee-cli in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/topoteretes-cognee-cli",
    "api": "https://www.openagentskill.com/api/agent/skills/topoteretes-cognee-cli",
    "audit": "https://www.openagentskill.com/skills/topoteretes-cognee-cli/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=topoteretes-cognee-cli&task=Use%20cognee-cli%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20cognee-cli%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20cognee-cli%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/topoteretes-cognee-cli/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/topoteretes-cognee-cli"
  }
}

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topoteretes
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[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/topoteretes-cognee-cli?metric=listed&label=Listed)](https://www.openagentskill.com/skills/topoteretes-cognee-cli?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
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[![Agent Proven](https://www.openagentskill.com/api/badge/topoteretes-cognee-cli?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/topoteretes-cognee-cli?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
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