cognee-permissions
Use when working with cognee's permission system — understanding or changing how users, roles, and tenants get access to datasets, how ACL grants work, where permissions are enforced in add/cognify/search/delete, and how the grant records surface in the memory-provenance view.
Profil aset
Riset dan pekerjaan pengetahuan
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Skenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
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-permissions
Pemeliharaan
Terkini
Diperbarui hari ini
Risiko
Perlu ditinjau
Permission surface may require sandboxing
Kualitas GitHub
30K
92/100 Kualitas · 80/100 Kepercayaan
Tag cakupan
Catatan ulasan
Permission surface may require sandboxing · SKILL.md content appears truncated in the provided excerpt; ensure the full document is present in the repository.
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-permissions
Keamanan pemasangan
Jalur pemasangan paket atau runtime standar
Cakupan izin
filesystem or document access, network or browser access
Hasil Agent
Belum ada data hasil Agent
Dokumentasi
Usable metadata, review docs
Ringkasan risiko
Tinjau sebelum produksi
- SKILL.md content appears truncated in the provided excerpt; ensure the full document is present in the repository.
- Quality score needs review
- Permission surface needs review: filesystem or document access, network or browser access
- Permission surface: filesystem or document access, network or browser 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 Database and SQL
- Tim Claude Code
- Tim yang menghargai sinyal adopsi GitHub
- Understand table relationships
Agent yang sesuai
Keputusan pemasangan
- Perintah
- npx skills add topoteretes/cognee --skill cognee-permissions
- Kebijakan
- Tinjau
- Tinjauan manusia
- Ya
Kepercayaan dan risiko
- Kepercayaan
- 72/100
- Audit
- 87/100
- Tingkat risiko
- Perlu ditinjau
Lingkar hasil
- Endpoint
- /api/agent/outcome
- ID event
- resolve
- Hasil
- 5
Perintah pemasangan
npx skills add topoteretes/cognee --skill cognee-permissionsJangan gunakan ketika
- Tim yang membutuhkan SLA dengan dukungan vendor
- production agents without a repository review
- SKILL.md content appears truncated in the provided excerpt; ensure the full document is present in the repository.
- Petunjuk izin berisiko tinggi: Secrets or environment access
- Permission surface may require sandboxing
Skill alternatif
Last30days Skill
53.5K Star
npx skills add mvanhorn/last30days-skill -g
Skill alternatif
Academic Research Skills
38.4K Star
npx skills add Imbad0202/academic-research-skills
Skill alternatif
GPT Researcher
28.0K Star
npx skills add assafelovic/gpt-researcher
Skill alternatif
DeepResearch
19.8K Star
npx skills add Alibaba-NLP/DeepResearch
Keamanan Agent v2
55/100 · Tinjau sebelum memasang
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
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.
Sedang
Akses database
Skill dapat memeriksa skema, mengkueri database, atau bekerja dengan penyimpanan persisten.
- Petunjuk izin berisiko tinggi: Secrets or environment access
- Permission surface may require sandboxing
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-permissionsRencana 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-permissions%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Teks Resolve
/api/agent/resolve?task=Use%20cognee-permissions%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Serah-terima pemasangan
/api/skills/topoteretes-cognee-permissions/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-permissions in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20cognee-permissions%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/topoteretes-cognee-permissions/install
Install command: npx skills add topoteretes/cognee --skill cognee-permissions
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-permissions/install
Format teks LLM
/api/skills/topoteretes-cognee-permissions/install?format=text
Cari alternatif
/api/skills/search?q=cognee-permissions&limit=3
Prompt Agent
Use cognee-permissions for this task. Review https://www.openagentskill.com/api/skills/topoteretes-cognee-permissions/install, then install with: npx skills add topoteretes/cognee --skill cognee-permissionsMetadata 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-permissions
Teks LLM
/api/registry/manifest/topoteretes-cognee-permissions?format=text
Alias pemasangan
/api/registry/install/topoteretes-cognee-permissions
Rekomendasikan
/api/registry/recommend?task=Use%20cognee-permissions%20in%20an%20agent%20workflow&limit=3
Kecocokan Agent
Database and SQL
Platform
Claude Code
Laporan audit
Perlu ditinjau · 87/100
Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.
Panel keputusan Agent
Pilihan utama untuk Database and SQL
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
Database and SQL
Label kepercayaan
Siap produksi
Jalur pemasangan
Perintah siap
Gunakan saat
- alur kerja Database and SQL
- 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
- 1 event interaksi OpenAgentSkill
tinjau dulu
- SKILL.md content appears truncated in the provided excerpt; ensure the full document is present in the repository.
Jalur implementasi
- 1Pasang di Agent sandbox dan jalankan satu tugas Database and SQL 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
- SKILL.md content appears truncated in the provided excerpt; ensure the full document is present in the repository.
- Quality score needs review
- Permission surface needs review: filesystem or document access, network or browser access
- Permission surface: filesystem or document access, network or browser access
- 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
Work with data stores
Database and SQL
I need my agent to inspect database schemas, write SQL, and explain query results.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Kecocokan alur kerja
Tambahkan ke alur kerja lengkap
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.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Daftar alternatif
Bandingkan sebelum memasang
Similar skills that may fit this task.
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GPT Researcher
Run autonomous deep research over web and local sources
DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
Ringkasan
--- name: cognee-permissions description: Use when working with cognee's permission system — understanding or changing how users, roles, and tenants get access to datasets, how ACL grants work, where permissions are enforced in add/cognify/search/delete, and how the grant records surface in the memory-provenance view. ---
# The cognee permission system
## The master switch
`ENABLE_BACKEND_ACCESS_CONTROL` decides whether any of this runs:
- `true` (default): multi-tenant mode. Every API call requires auth, every dataset operation is permission-checked, and each user+dataset pair gets isolated graph/vector/relational databases (tracked in the `DatasetDatabase` model, supported backends: Kuzu, LanceDB, SQLite, Postgres). - `false`: single-user mode. Permission checks short-circuit to allowed, there is no per-dataset isolation, and **every user's operations resolve to the same shared databases and datasets**. Authentication is a separate knob: `REQUIRE_AUTHENTICATION`. Unset, it inherits this switch (so turning access control off also turns auth off) — but if `REQUIRE_AUTHENTICATION=true` is set, endpoints still demand a login; authenticated users are identified but *not isolated*, all pointing at the same data. The reverse misconfiguration (`REQUIRE_AUTHENTICATION=false` with access control on) is ignored: auth is forced on with a warning, because multi-tenant isolation is meaningless without identity (`get_authenticated_user.py`).
## The core model: principals, permissions, ACL grants
Everything reduces to one relation — **a grant**: *principal* × *permission* × *dataset*, stored as one `ACL` row (`modules/users/models/ACL.py`).
- **Principal** (`Principal.py`) is polymorphic: `User`, `Role`, and `Tenant` all inherit from it. Any of the three can hold a grant, which is how role-wide and tenant-wide access work — one ACL row covers every member. - **Permission** (`Permission.py`) is one of exactly four names, defined in `permissions/permission_types.py`: `read`, `write`, `delete`, `share`. `share` is the meta-permission: it gates granting/revoking access for others. - **Membership** is separate from grants: `UserRole` and `UserTenant` link users into roles/tenants. A user's effective access is the union of their own grants and the grants of every role/tenant they belong to.
## How grants come into existence
1. **Dataset creation** (`modules/data/methods/create_authorized_dataset.py`): the creating user is granted **all four permissions** on the new dataset. If the user has a `parent_user_id` (sub-users/agent identities), the parent is auto-granted all four as well — parents always see their children's datasets. 2. **Explicit sharing** (`permissions/methods/ authorized_give_permission_on_datasets.py`): the caller must hold `share` on the target datasets, then any principal (user, role, or tenant) can be granted any permission. Revocation mirrors this (`authorized_revoke_permission_on_datasets.py`). 3. **Capabilities — tenant-scoped grants of actions, not data** (landing via PR #4302, currently in review): a new `principal_capabilities` table, keyed on `(principal, tenant, capability)`. Where an ACL row grants access to *a dataset*, a capability grants *an action inside a tenant* — the first one being `manage_users`. The catalog of capability names is code (`CAPABILITY_TYPES` in `permission_types.py`), not a database table, "because the code is what gives each name meaning"; only the assignment of a capability to a principal is data. `tenant_id` is stored on every row because a user can belong to multiple tenants: it pins each grant to the user's membership in one specific tenant, so holding a capability in one tenant never carries over to the same user's other tenants. Resolution (`get_effective_capabilities(user, tenant)`) returns the union of what the tenant grants all of its members, what the user's roles in that tenant grant, and what the user was granted personally — there is no deny in the model, resolution is gated on actual tenant membership, and the tenant owner short-circuits as holding every capability. Grant/revoke endpoints ride the permissions router.
## Where permissions are enforced
The single chokepoint for dataset resolution is `get_authorized_existing_datasets(datasets, permission, user)` — every entrypoint resolves names/IDs through it with the permission it needs:
| Operation | Required permission | Enforcement path | |---|---|---| | `add` / `cognify` / `remember` | `write` | dataset resolution before the pipeline runs | | `search` / `recall` / visualize | `read` | dataset resolution; retrieval is restricted to documents of readable datasets | | `delete` / prune of a dataset | `delete` | `datasets.py` resolves with `"delete"` | | grant/revoke for others | `share` | `authorized_give/revoke_permission_on_datasets` |
Two behaviors worth knowing:
- **Denied reads return empty results, not 403.** A search against a dataset you cannot read yields `[]` — deliberate, to avoid leaking which datasets exist. When debugging "search returns nothing", check grants before checking the graph.
## Roles, tenants, and who may manage them
- **User management** (listing tenant users, assigning/removing roles, adding/removing users) is allowed for the **tenant owner** always, and today for members of roles named in `USER_MANAGEMENT_ALLOWED_ROLE_NAMES` (currently `{"admin"}`, `permissions/permission_types.py`). That name-matching is a known footgun — any customer group that happens to be called "admin" gets user management — and PR #4302 replaces it: the check becomes "does the requester hold the `manage_users` capability in this tenant" (owner always passes), with the role-name match kept only as a deprecated fallback so tenants upgrading from the old check don't lose user management until their `admin` role is granted the capability. - **Role visibility**: members of a role can see the role itself and their co-members; anyone with user-management permission sees all (`tenants/methods/get_users_in_role.py`). Lookups are tenant-scoped — a role id from another tenant cannot be used to read that tenant's members.
## The grant records in memory provenance (the new grant view)
`api/v1/visualize/memory_provenance.py` surfaces the ACL grants as first-class graph data. Each grant becomes an `AclGrantRecord`:
```python {"principal_id": ..., "principal_kind": "user" | "role" | "tenant", "permission": ...} ```
and is rendered into the provenance graph as an edge from the principal node to the dataset, with the permission mapped to a relation name (`_ACL_EDGE_RELATIONS`):
| permission | provenance edge | |---|---| | read | `reads` | | write | `writes` | | delete | `can_delete` | | share | `can_share` |
Grants are rendered (never dropped) even when the principal is unknown, because "an ACL row exists because someone granted it". The view is exposed through the schema router (`get_schema_router.py`): `visualize_memory_provenance` (HTML) and `get_memory_provenance_payload` (JSON) — this is where you *see* the permission state of a memory rather than query it.
## HTTP API surface (`api/v1/permissions/routers/get_permissions_router.py`)
| Endpoint | What it does | |---|---| | `POST /permissions/datasets/{principal_id}` | grant a permission on datasets to a principal (requires `share`) | | `DELETE /permissions/datasets/{principal_id}` | revoke a permission | | `POST /permissions/roles` · `DELETE /permissions/roles/{role_id}` | create/delete a role | | `POST/DELETE /permissions/users/{user_id}/roles` | add/remove a user to/from a role | | `POST /permissions/users/{user_id}/tenants` | add a user to a tenant | | `GET /permissions/tenants/{tenant_id}/roles/{role_id}/users` | members of a role (self-visible to members) | | `GET /permissions/tenants/{tenant_id}/roles/users/{user_id}` | a user's roles | | `GET /permissions/tenants/{tenant_id}/users` | users in a tenant | | `GET /permissions/tenants/me` | the caller's tenants |
## Key files map
- Models: `cognee/modules/users/models/` — `ACL`, `Principal`, `Permission`, `Role`, `Tenant`, `UserRole`, `UserTenant`, `DatasetDatabase` (and `PrincipalCapability` once #4302 lands) - Methods: `cognee/modules/users/permissions/methods/` — grant/revoke, checks, dataset resolution, document filtering - Enforcement chokepoint: `cognee/modules/data/methods/` (`get_authorized_existing_datasets`, `create_authorized_dataset`) - Grant provenance view: `cognee/api/v1/visualize/memory_provenance.py` - HTTP API: `cognee/api/v1/permissions/routers/get_permissions_router.py`
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
- 78/100
- 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-permissions, siap untuk posting manual di X.
cognee-permissions: Use when working with cognee's permission system — understanding or changing how users, roles... 30.2K stars https://www.openagentskill.com/skills/topoteretes-cognee-permissions?ref=x
Balasan opsional dengan perintah pemasangan
Listing + install path for cognee-permissions: https://www.openagentskill.com/skills/topoteretes-cognee-permissions?ref=x Install: npx skills add topoteretes/cognee --skill cognee-permissions
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-permissions)
[](https://www.openagentskill.com/skills/topoteretes-cognee-permissions)
[](https://www.openagentskill.com/skills/topoteretes-cognee-permissions/audit)
[](https://www.openagentskill.com/skills/topoteretes-cognee-permissions)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
- 1
- 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 publik memerlukan konteks README/SKILL.md yang lebih kuatInfo
- Risiko dependensi/runtimenetwork or browser surface, database surfaceInfo
Skill terkait
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
53.5K StarAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarDeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
19.8K Star