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.
Profil aset
Data, BI, dan analitik
CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis.
Skenario
Database and SQL
I need my agent to inspect database schemas, write SQL, and explain query results.
Kecocokan Agent
Claude Code + CLI + Codex
Cocok untuk Codex, Claude Code, Cursor, CLI, atau Agent khusus.
Pasang
Siap
npx skills add topoteretes/cognee --skill cognee-cli
Pemeliharaan
Terkini
Diperbarui hari ini
Risiko
Perlu ditinjau
Dependency or permission surface needs review
Kualitas GitHub
30K
92/100 Kualitas · 74/100 Kepercayaan
Tag cakupan
Catatan ulasan
Dependency or permission surface needs review · Permission surface may require sandboxing
Kartu adopsi Agent
Kepercayaan, audit, dan kesiapan pemasangan dalam sekali lihat
Skor ini menggabungkan metadata repositori publik, sinyal ulasan OpenAgentSkill, kebaruan pemeliharaan, dan kesiapan pemasangan. Ini adalah sinyal shortlist, bukan pengganti peninjauan manusia.
Kualitas
Sangat baikHigh-confidence pick with strong adoption and healthy maintenance signals.
Kepercayaan
Hanya sandboxKandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.
Audit
Perlu ditinjauTinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.
Trust Score OpenAgentSkill v5
Tinjauan manusia sebelum pemasangan
Jalankan hanya dalam sandbox dan bandingkan alternatif terdekat sebelum digunakan untuk kerja nyata.
Star
30K star GitHub
Aktivitas repositori
30K star dan 3.0K fork
Pemeliharaan
Diperbarui hari ini
Lisensi
Apache-2.0
Pasang
npx skills add topoteretes/cognee --skill cognee-cli
Keamanan pemasangan
Jalur pemasangan paket atau runtime standar
Cakupan izin
secrets or environment access, shell or command execution
Hasil Agent
Belum ada data hasil Agent
Dokumentasi
Konteks README/SKILL.md kuat
Ringkasan risiko
Tinjau sebelum produksi
- 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
Kesiapan pemasangan
Jalur pemasangan tersedia
- Jalur pemasangan tersedia
- Bukti repositori tersedia
- Lisensi dinyatakan
- Belum ada bukti hasil Agent-Proven
Metadata yang dapat dibaca Agent
Data keputusan yang dapat dibaca mesin untuk skill ini.
Gunakan blok ini atau JSON tersemat untuk memutuskan apakah Agent perlu memasang skill ini, memilih alternatif, atau meminta tinjauan manusia terlebih dahulu.
Tugas yang sesuai
- Alur kerja Agent riset
- Tim Claude Code
- Tim yang menghargai sinyal adopsi GitHub
- Sumber pencarian
Agent yang sesuai
Keputusan pemasangan
- Perintah
- npx skills add topoteretes/cognee --skill cognee-cli
- Kebijakan
- Tinjau
- Tinjauan manusia
- Ya
Kepercayaan dan risiko
- Kepercayaan
- 66/100
- Audit
- 83/100
- Tingkat risiko
- Perlu ditinjau
Lingkar hasil
- Endpoint
- /api/agent/outcome
- ID event
- resolve
- Hasil
- 5
Perintah pemasangan
npx skills add topoteretes/cognee --skill cognee-cliJangan gunakan ketika
- Tim yang membutuhkan SLA dengan dukungan vendor
- 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.
- No OpenAgentSkill engagement data yet
- Petunjuk izin berisiko tinggi: Shell or command execution, Secrets or environment access
Keamanan Agent v2
39/100 · Hindari pemasangan otomatis
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Tinggi
Eksekusi shell atau perintah
Metadata skill merujuk terminal, CLI, shell, subprocess, atau alur kerja eksekusi perintah.
Sedang
Akses jaringan
Skill kemungkinan mengambil halaman jarak jauh, API, repositori, atau layanan eksternal.
Sedang
Akses sistem file
Skill dapat membaca atau menulis file proyek, dokumen, artefak yang dihasilkan, atau status workspace lokal.
Tinggi
Secrets or environment access
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
- Petunjuk izin berisiko tinggi: Shell or command execution, Secrets or environment access
- Dependency or permission surface needs review
Target pemasangan
Pasang skill ini di alur Agent Anda
Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.
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-cliRencana resolusi Agent
Biarkan Agent memverifikasi kecocokan sebelum memasang.
API Resolve mengembalikan skill utama, alternatif, kebijakan keamanan, catatan audit, target pemasangan, dan prompt siap pakai.
Buka JSON
/api/agent/resolve?task=Use%20cognee-cli%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Teks Resolve
/api/agent/resolve?task=Use%20cognee-cli%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Serah-terima pemasangan
/api/skills/topoteretes-cognee-cli/install
Agent harus memeriksa
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Salin prompt
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.Serah-terima Agent
Berikan jalur pemasangan kepada Agent, bukan direktori lain.
Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.
Serah-terima pemasangan
/api/skills/topoteretes-cognee-cli/install
Format teks LLM
/api/skills/topoteretes-cognee-cli/install?format=text
Cari alternatif
/api/skills/search?q=cognee-cli&limit=3
Prompt Agent
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-cliMetadata Registry
Profil yang dapat dibaca Agent untuk pemilihan skill otomatis.
API Registry menyediakan sinyal keputusan, kepercayaan, audit, use case, dan pemasangan tanpa mengikis UI.
Manifest
/api/registry/manifest/topoteretes-cognee-cli
Teks LLM
/api/registry/manifest/topoteretes-cognee-cli?format=text
Alias pemasangan
/api/registry/install/topoteretes-cognee-cli
Rekomendasikan
/api/registry/recommend?task=Use%20cognee-cli%20in%20an%20agent%20workflow&limit=3
Kecocokan Agent
Agent riset
Tag use case
Platform
Claude Code
Laporan audit
Perlu ditinjau · 83/100
Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.
Panel keputusan Agent
Pilihan utama untuk Agent riset
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Peran di stack
Pilihan utama
Kecocokan utama
Agent riset
Label kepercayaan
Siap produksi
Jalur pemasangan
Perintah siap
Gunakan saat
- Alur kerja Agent riset
- Tim Claude Code
- Tim yang menghargai sinyal adopsi GitHub
Bukti
- 30,192 star GitHub
- recent repository activity
- install command or GitHub repo available
- profil kualitas 92/100
tinjau dulu
- The skill documents `forget --all` as a destructive command without confirmation, but it clearly warns users about this risk, so it's acceptable.
- No OpenAgentSkill engagement data yet
Jalur implementasi
- 1Pasang di Agent sandbox dan jalankan satu tugas Agent riset dari awal hingga akhir.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Profil kepercayaan
Hanya sandbox
Kandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.
Adopsi GitHub
Lulus30K star GitHub
Aktivitas star/fork
Lulus30K star dan 3.0K fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
LulusDiperbarui hari ini
Kejelasan lisensi
LulusApache-2.0
Sinyal positif
- Tinjauan AI disetujui
- Jalur pemasangan tersedia
- Bukti repositori tersedia
- Repositori yang baru dipelihara
- Large GitHub adoption signal
- Perintah pemasangan tidak memiliki pola berisiko tinggi yang jelas
- Loop hasil siap tetapi membutuhkan eksekusi Agent nyata pertama
Tinjau sebelum memasang
- 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
- Belum ada laporan hasil Agent nyata
- Tinjauan manusia diperlukan sebelum pemasangan tanpa pengawasan
Tindakan yang disarankan
Jalankan hanya dalam sandbox dan bandingkan alternatif terdekat sebelum digunakan untuk kerja nyata.
Profil kualitas
Sangat baik kandidat untuk alur kerja Agent
High-confidence pick with strong adoption and healthy maintenance signals.
Kecocokan alur kerja
Gunakan skill ini pada skenario berikut
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Work with data stores
Database and SQL
I need my agent to inspect database schemas, write SQL, and explain query results.
Operate local tools
Local desktop
I need my agent to operate local files and desktop apps in a repeatable workflow.
Kecocokan alur kerja
Tambahkan ke alur kerja lengkap
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Ingest, retrieve, and cite
RAG knowledge base
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Daftar alternatif
Bandingkan sebelum memasang
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Ringkasan
--- 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`.)
Detail teknis
- Versi
- 1.0.0
- Lisensi
- Apache-2.0
- Pembaruan terakhir
- 23 Agu 2026
- Diterbitkan
- 23 Agu 2026
Ringkasan keputusan
Pilihan utama
30,192 star GitHub
Audit
Tinjauan pemasangan
Tinjauan pemasangan dan adopsi
- Keamanan
- 69/100
- Pemeliharaan
- 100/100
- Pasang
- 92/100
Bukti tervalidasi Agent
Bukti tervalidasi Agent
Laporan hasil setelah resolve, tinjau, pasang, dan satu eksekusi terbatas.
- Tingkat sukses
- —
- Kegagalan terbaru
- —
- Hasil
- 0
- Kualitas output
- —
- Gagal
- 0
- Tidak relevan
- 0
- Pemasangan
- 0
- Diblokir risiko
- 0
- Perlu penyiapan
- 0
- Produksi
- 0
Belum ada data hasil Agent. Eksekusi pertama dapat melaporkan keberhasilan, kebutuhan setup, blok risiko, kegagalan, atau tidak relevan melalui /api/agent/outcome.
Pasang
Tambahkan ke alur Agent
Gratis dan sumber terbuka. Tinjau laporan sebelum memasang pada Agent produksi.
Siklus pertumbuhan
Kit berbagi
Draf berbasis skenario untuk cognee-cli, siap untuk posting manual di X.
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
Balasan opsional dengan perintah pemasangan
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
Sumber listing
Diindeks Registry
Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.
- Kreator
- topoteretes
- Sumber
- topoteretes/cognee
- Diindeks oleh
- Indeks komunitas OpenAgentSkill
Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.
Klaim skill iniKlaim pemilik
Klaim listing skill ini
Listing Diindeks Registry ini dikaitkan dengan topoteretes, tetapi belum ditandai resmi. Klaim untuk menambahkan sinyal pemilik terverifikasi dan membuat pembaruan peluncuran, pemasangan, serta audit berikutnya lebih tepercaya.
Kit backlink kreator
Tambahkan badge bukti ke README Anda
Tampilkan listing kanonis, sinyal kepercayaan dan audit saat ini, serta bukti Agent-Proven nyata di tempat pengembang mengevaluasi repositori.
[](https://www.openagentskill.com/skills/topoteretes-cognee-cli)
[](https://www.openagentskill.com/skills/topoteretes-cognee-cli)
[](https://www.openagentskill.com/skills/topoteretes-cognee-cli/audit)
[](https://www.openagentskill.com/skills/topoteretes-cognee-cli)Penulis
topoteretes
@topoteretes
Tag
Kecocokan platform
Sinyal kesehatan
- Star GitHub
- 30.2K
- Skor kualitas
- 55/100
- Push GitHub terakhir
- 23 Agu 2026
- Petunjuk framework
- Tidak diketahui
- Tampilan OpenAgentSkill
- 0
- Salinan pemasangan
- 0
- Klik keluar
- 0
Sinyal komunitas
Bagikan apakah skill ini bermanfaat untuk alur kerja Agent Anda. Masukan gabungan meningkatkan peringkat dari waktu ke waktu.
Kepercayaan & keamanan
Hanya sandbox
- Adopsi GitHub30K star GitHubLulus
- Aktivitas star/fork30K star dan 3.0K fork; aktivitas issue tidak tersedia dalam metadata saat iniLulus
- Pemeliharaan terbaruDiperbarui hari iniLulus
- Kejelasan lisensiApache-2.0Lulus
- Kelengkapan README/SKILL.mdMetadata memuat konteks penggunaan dan alur kerja yang cukupLulus
- Risiko dependensi/runtimecommand execution surface, credential or environment accessPerbaiki
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