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cognee

Routes Cognee AI memory platform tasks across SDK memory APIs, graph/RAG retrieval, configuration, custom pipelines, session memory, CLI, API, MCP, and…

Skill by VectorSpaceLab

IndexedApache-2.0★ 341
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/vectorspacelab-cognee

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Routes Cognee AI memory platform tasks across SDK memory APIs, graph/RAG retrieval, configuration, custom pipelines, session memory, CLI, API, MCP, and deployment workflows.

Use cases: backend, ml, agent-building

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/cognee

What's inside

Skill name
cognee
Description
Routes Cognee AI memory platform tasks across SDK memory APIs, graph/RAG retrieval, configuration, custom pipelines, session memory, CLI, API, MCP, and deployment workflows.
License
Apache-2.0
Metadata
disco-role: operating
Instructions
56 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (38)

  • SKILL.md
  • package-overview.md · references/
  • repo-provenance.md · references/
  • repo-routing-metadata.json · references/
  • troubleshooting.md · references/
  • check_install.py · scripts/
  • SKILL.md · sub-skills/advanced-graphs-pipelines/
  • custom-graphs-pipelines.md · sub-skills/advanced-graphs-pipelines/references/
  • migration-visualization.md · sub-skills/advanced-graphs-pipelines/references/
  • troubleshooting.md · sub-skills/advanced-graphs-pipelines/references/
  • inspect_custom_model.py · sub-skills/advanced-graphs-pipelines/scripts/
  • SKILL.md · sub-skills/agent-session-memory/
  • agent-session-memory.md · sub-skills/agent-session-memory/references/
  • api-reference.md · sub-skills/agent-session-memory/references/
  • troubleshooting.md · sub-skills/agent-session-memory/references/
  • check_agent_memory_payloads.py · sub-skills/agent-session-memory/scripts/
  • SKILL.md · sub-skills/api-cli-services/
  • cli-reference.md · sub-skills/api-cli-services/references/
  • deployment.md · sub-skills/api-cli-services/references/
  • services-mcp.md · sub-skills/api-cli-services/references/
  • troubleshooting.md · sub-skills/api-cli-services/references/
  • check_cli_surface.py · sub-skills/api-cli-services/scripts/
  • check_mcp_surface.py · sub-skills/api-cli-services/scripts/
  • SKILL.md · sub-skills/configuration-backends/
  • backend-matrix.md · sub-skills/configuration-backends/references/
  • configuration.md · sub-skills/configuration-backends/references/
  • troubleshooting.md · sub-skills/configuration-backends/references/
  • check_cognee_environment.py · sub-skills/configuration-backends/scripts/
  • SKILL.md · sub-skills/core-memory/
  • api-reference.md · sub-skills/core-memory/references/
  • troubleshooting.md · sub-skills/core-memory/references/
  • workflows.md · sub-skills/core-memory/references/
  • cognee_memory_smoke.py · sub-skills/core-memory/scripts/
  • SKILL.md · sub-skills/search-retrieval/
  • api-reference.md · sub-skills/search-retrieval/references/
  • search-modes.md · sub-skills/search-retrieval/references/
  • troubleshooting.md · sub-skills/search-retrieval/references/
  • choose_search_mode.py · sub-skills/search-retrieval/scripts/

SKILL.md (first lines)

# Cognee Repo Skill

Use this skill when the user asks about Cognee, AI memory, persistent agent memory, graph RAG, Cognee SDK/CLI/API/MCP usage, Cognee configuration, custom graph extraction, session memory, or self-hosted Cognee services.

Cognee is a Python package and service stack for ingesting data, building a graph/vector-backed memory layer, and recalling knowledge for agents.

## First checks

For a safe installed-package check:

```bash
python scripts/check_install.py --help
python scripts/check_install.py --json
```

Minimal package install:

```bash
python -m pip install "cognee"
python - <<'PY'
import cognee
print(cognee.__version__)
print(cognee.SearchType.GRAPH_COMPLETION)
PY
```

Do not assume provider credentials or optional databases are configured. Most real ingestion/search workflows need an LLM and embedding provider; backend-specific workflows need matching extras and services.

## Route map

| User intent | Read |
| --- | --- |
| Store, build, recall, improve, or delete memory with SDK calls | [sub-skills/core-memory/SKILL.md](sub-skills/core-memory/SKILL.md) |
| Choose `SearchType`, tune recall/search, handle empty results or invalid query knobs | [sub-skills/search-retrieval/SKILL.md](sub-skills/search-retrieval/SKILL.md) |
| Configure LLMs, embeddings, database/storage backends, optional extras, env vars, and paths | [sub-skills/configuration-backends/SKILL.md](sub-skills/configuration-backends/SKILL.md) |
| Define custom graph schemas, custom tasks/pipelines, ontology workflows, memify, migration, export, or visualization | [sub-skills/advanced-graphs-pipelines/SKILL.md](sub-skills/advanced-graphs-pipelines/SKILL.md) |
| Use session memory, feedback entries, agent memory decorators, agent identities, or multi-agent isolation | [sub-skills/agent-session-memory/SKILL.md](sub-skills/agent-session-memory/SKILL.md) |
| Operate Cognee through CLI, FastAPI, MCP, Docker Compose, UI, cloud/local service connection, or push/sync | [sub-skills/api-cli-services/SKILL.md](sub-skills/api-cli-services/SKILL.md) |

## Shared references

- [references/package-overview.md](references/package-overview.md) — package identity, public surface, and sub-skill boundaries.
- [references/troubleshooting.md](references/troubleshooting.md) — cross-cutting install/import/credential/backend issues.
- [references/repo-provenance.md](references/repo-provenance.md) — source snapshot and refresh baseline.
- [references/repo-routing-metadata.json](references/repo-routing-metadata.json) — structured router placement used by DisCo repo-skills import tooling.

## Operating rules

- Prefer `remember`/`recall` for memory-shaped user requests; prefer `add`/`cognify`/`search` for explicit pipeline control.
- Before diagnosing workflow failures, separate three causes: package install, provider credentials, and database/storage backend state.
- Never tell a future agent to open original Cognee docs, examples, notebooks, tests, or scripts. Use the bundled references and scripts in this skill tree.
- Keep real API keys, cloud tokens, local filesystem paths, and service URLs in the user’s runtime configuration, not in copied guidance.
- Treat Docker, MCP, UI, and API servers as long-running services; run only `--help`, version, or check scripts unless the user asks to start them.
- If a current checkout has changed from the provenance snapshot, refresh this skill before relying on implementation-specific details.

From VectorSpaceLab/AREX-Skill, Apache-2.0.

More from VectorSpaceLab/AREX-Skill

Signals

Stars
341
Forks
26
Open issues
0
Last commit (this folder)
Aug 26, 2026 (2 months ago)
Last release
Sep 2, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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cognee skill. Agent Mart. https://agentmart.dev/skills/vectorspacelab-cognee (last updated 2026-10-24)