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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.
Overview
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.
Read full documentation
Source documentation, not instructions for this website. Review permissions before running any commands.
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 --alldoes not ask for confirmation. It deletes every dataset immediately, even on a non-interactive stdin. The legacydelete --allpromptsDelete ALL data from cognee? [y/N]first, so switching toforgetsilently 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(andadd) without--dataset-nametargets the default datasetmain_dataset;recall/searchoperate across your accessible datasets unless a dataset is given.forgetrefuses to run bare — pass--dataset,--dataset-id,--data-id(with a dataset), or--everything/--all.- Session commands (
recall -s,sessions get,improve -s) requireCACHING=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. memifyrequires one of the arguments -d/--dataset-name --dataset-idconfig set/config unsetwrite to the.envfile in whatever directory you run the command from (creating it if missing).config reset(reset all keys) is still not implemented.- Which
.envactually wins is not always the cwd one. At import, cognee callsdotenv.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.envat the repo root therefore shadows the.envin the directory you ran from — and becauseoverride=True, it also beats variables youexported. Symptom:config setappears to do nothing, or the CLI connects to a backend you thought you had overridden. To test against different settings, move the repo.envaside, or set values programmatically after import (cognee.config.set_*). (Underpython -cthe cwd.envdoes 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.)
File metadata
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.
View original text
---
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`.)
Review the source
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- License
- Apache-2.0
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Source needs review
The tracked source changed or could not be synchronized. Review the current source before installing.
Review before install: Avoid automatic install
License: 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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Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Source & usage notes
Indexed
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
- Source repository
- topoteretes/cognee
- License
- Apache-2.0
- Version
- 1.0.0
- Last GitHub push
- Aug 23, 2026
- Registry updated
- Sep 27, 2026
- Instruction path
- .claude/skills/cognee-cli/SKILL.md
Version reported in registry metadata; check source releases before relying on it.
Quality
89/100
Excellent
Trust
64/100
Sandbox only
Audit
80/100
Needs review
- 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
- Verified installs
- —
- Outcomes
- —
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.
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This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
More details
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}For the creator
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- topoteretes
- Source
- topoteretes/cognee
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This Registry indexed listing is attributed to topoteretes but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
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