cognee-server
Use when the user wants to run the cognee API server (and optional UI) on their own machine — starting it, checking it's healthy, connecting the SDK or other clients to it, and choosing the right auth posture.
Supply asset profile
Design and creative production
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add topoteretes/cognee --skill cognee-server
Maintenance
fresh
Pushed today
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
30K
92/100 Quality · 78/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
30K GitHub stars
Repo activity
30K stars, 3.0K forks
Maintenance
Pushed today
License
Apache-2.0
Install
npx skills add topoteretes/cognee --skill cognee-server
Install safety
standard package or runtime install path
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- 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
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- Design and creative workflows
- Claude Code teams
- teams that value GitHub adoption signals
- Inspect visual requirements
Suited agents
Install decision
- Command
- npx skills add topoteretes/cognee --skill cognee-server
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 70/100
- Audit
- 86/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add topoteretes/cognee --skill cognee-serverDo not use when
- teams that need a vendor-supported SLA
- high-compliance environments without internal security review
- No OpenAgentSkill engagement data yet
- High-risk permission hints: Shell or command execution, Secrets or environment access
- Dependency or permission surface needs review
Alternative
Frontend Design
171.1K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
Taste Skill: Anti-Slop Frontend
79.4K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
Canvas Design
171.1K Stars
npx skills add anthropics/skills --skill canvas-design
Alternative
Anthropic Brand Guidelines
171.1K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
42/100 · Avoid automatic install
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Shell or command execution
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Secrets or environment access
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
- High-risk permission hints: Shell or command execution, Secrets or environment access
- Dependency or permission surface needs review
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
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-serverAgent resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20cognee-server%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20cognee-server%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/topoteretes-cognee-server/install
Agent should check
- 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.
Copy prompt
Task: Use cognee-server in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20cognee-server%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/topoteretes-cognee-server/install
Install command: npx skills add topoteretes/cognee --skill cognee-server
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/topoteretes-cognee-server/install
LLM text format
/api/skills/topoteretes-cognee-server/install?format=text
Find alternatives
/api/skills/search?q=cognee-server&limit=3
Agent prompt
Use cognee-server for this task. Review https://www.openagentskill.com/api/skills/topoteretes-cognee-server/install, then install with: npx skills add topoteretes/cognee --skill cognee-serverRegistry metadata
Agent-readable profile for automatic skill selection.
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.
Manifest
/api/registry/manifest/topoteretes-cognee-server
LLM text
/api/registry/manifest/topoteretes-cognee-server?format=text
Install alias
/api/registry/install/topoteretes-cognee-server
Recommend
/api/registry/recommend?task=Use%20cognee-server%20in%20an%20agent%20workflow&limit=3
Agent fit
Design and creative
Platforms
Claude Code
Audit report
Needs review · 86/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Primary pick for Design and creative
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Design and creative
Trust label
Production-ready
Install path
Command ready
Use when
- Design and creative workflows
- Claude Code teams
- teams that value GitHub adoption signals
Evidence
- 30,192 GitHub stars
- recent repository activity
- install command or GitHub repo available
- 92/100 quality profile
review first
- No OpenAgentSkill engagement data yet
Implementation path
- 1Install it in a sandbox agent and run one Design and creative task end to end.
- 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.
Trust profile
Sandbox only
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS30K GitHub stars
Stars/forks activity
PASS30K stars, 3.0K forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
PASSApache-2.0
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Large GitHub adoption signal
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- 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
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Excellent candidate for agent workflows
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Use this skill in these scenarios
Create assets
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Add it to a complete workflow
Design, build, test, and ship interfaces
Frontend and UI
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
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.
Alternative shortlist
Compare before you install
Similar skills that may fit this task.
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Taste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Canvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Anthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
Overview
--- name: cognee-server description: Use when the user wants to run the cognee API server (and optional UI) on their own machine — starting it, checking it's healthy, connecting the SDK or other clients to it, and choosing the right auth posture. ---
# Start the cognee server locally
## From an installed cognee (no Docker)
```bash cognee-cli -ui ```
launches the full local stack: FastAPI backend on **http://localhost:8000** and the UI on **http://localhost:3000**. Needs `LLM_API_KEY` in the environment or `.env`. The interactive API reference is at http://localhost:8000/docs, health at `/health`.
For API-only serving via Docker instead, use the cognee-docker skill (the prebuilt `cognee/cognee:main` image or `docker compose up` from the repo).
## Auth posture
`ENABLE_BACKEND_ACCESS_CONTROL` decides everything:
- `true` (default): multi-tenant — auth required on every API call, per user+dataset database isolation. - `false`: single-user local mode — no auth, shared local databases. Right choice for a personal dev server; never for anything exposed.
`REQUIRE_AUTHENTICATION=false` is ignored while access control is on; to turn auth off you must set `ENABLE_BACKEND_ACCESS_CONTROL=false`.
## Connecting clients to the running server
- **SDK / CLI against the server** (instead of embedded local mode):
```bash cognee-cli serve --url http://localhost:8000 # local instance cognee-cli serve # cognee cloud (device flow) cognee-cli serve --logout # disconnect ```
In Python: `await cognee.serve(url="http://localhost:8000")`.
- **HTTP**: main routes live under `/api/v1/` — the memory API is `remember` (plus `remember/entry`), `recall`, `improve`, `forget`; `sessions` covers session memory; `datasets`, `users`, `visualize` handle the rest. The legacy `add`, `cognify`, `search`, `memify`, and `delete` routes still exist and are what the memory routes call underneath (see `cognee/api/client.py` for the registered routers, or `GET /openapi.json` on a running server).
Note there is **no `/api/v1/feedback` route** — `feedback` exists as a CLI command and in the SDK, but is not exposed over HTTP.
## Graph visualization without the full UI
```python from cognee.api.v1.visualize import visualization_server
shutdown = visualization_server(port=8080) # synchronous; returns a shutdown callable ```
## Troubleshooting
- Port 8000 already taken → stop the other service or remap (compose: `"8080:8000"`). - 401/403 on every call → you're in multi-tenant mode; either authenticate or set `ENABLE_BACKEND_ACCESS_CONTROL=false` and restart. - `recall`/`search` returns `[]` instead of erroring → permission-filtered result; check dataset access rights for the calling user.
Technical details
- Version
- 1.0.0
- License
- Apache-2.0
- Last updated
- Aug 23, 2026
- Published
- Aug 23, 2026
Decision snapshot
Primary pick
30,192 GitHub stars
Audit
Install review
Install and adoption review
- Security
- 74/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for cognee-server, ready for a manual X post.
cognee-server: Use when the user wants to run the cognee API server (and optional UI) on their own machine —... 30.2K stars https://www.openagentskill.com/skills/topoteretes-cognee-server?ref=x
Optional reply with install command
Listing + install path for cognee-server: https://www.openagentskill.com/skills/topoteretes-cognee-server?ref=x Install: npx skills add topoteretes/cognee --skill cognee-server
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- topoteretes
- Source
- topoteretes/cognee
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
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.
Creator backlink kit
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/topoteretes-cognee-server)
[](https://www.openagentskill.com/skills/topoteretes-cognee-server)
[](https://www.openagentskill.com/skills/topoteretes-cognee-server/audit)
[](https://www.openagentskill.com/skills/topoteretes-cognee-server)Author
topoteretes
@topoteretes
Tags
Platform fit
Health signals
- GitHub stars
- 30.2K
- Quality score
- 55/100
- Last GitHub push
- Aug 23, 2026
- Framework hints
- Unknown
- OpenAgentSkill views
- 0
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Sandbox only
- GitHub adoption30K GitHub starsPASS
- Stars/forks activity30K stars, 3.0K forks; issue activity unavailable in current metadataPASS
- Recent maintenancePushed todayPASS
- License clarityApache-2.0PASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskcommand execution surface, credential or environment accessFIX
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