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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 deployment workflows.

VectorSpaceLab/AREX-Skill

インストール方法を見る

含まれるファイル（38）

SKILL.md3.7 KB
references/package-overview.md2.9 KB
references/repo-provenance.md2.1 KB
references/repo-routing-metadata.json479 B
references/troubleshooting.md2.3 KB
scripts/check_install.py3.2 KB
sub-skills/advanced-graphs-pipelines/references/custom-graphs-pipelines.md3.2 KB
sub-skills/advanced-graphs-pipelines/references/migration-visualization.md2.4 KB
sub-skills/advanced-graphs-pipelines/references/troubleshooting.md2.1 KB
sub-skills/advanced-graphs-pipelines/scripts/inspect_custom_model.py2.4 KB
sub-skills/advanced-graphs-pipelines/SKILL.md2.3 KB
sub-skills/agent-session-memory/references/agent-session-memory.md3.1 KB
sub-skills/agent-session-memory/references/api-reference.md2.8 KB
sub-skills/agent-session-memory/references/troubleshooting.md1.9 KB
sub-skills/agent-session-memory/scripts/check_agent_memory_payloads.py1.7 KB
sub-skills/agent-session-memory/SKILL.md2.1 KB
sub-skills/api-cli-services/references/cli-reference.md5.2 KB
sub-skills/api-cli-services/references/deployment.md3.3 KB
sub-skills/api-cli-services/references/services-mcp.md7.6 KB
sub-skills/api-cli-services/references/troubleshooting.md4.2 KB
sub-skills/api-cli-services/scripts/check_cli_surface.py4.9 KB
sub-skills/api-cli-services/scripts/check_mcp_surface.py3.1 KB
sub-skills/api-cli-services/SKILL.md2.3 KB
sub-skills/configuration-backends/references/backend-matrix.md4.5 KB
sub-skills/configuration-backends/references/configuration.md13.5 KB
sub-skills/configuration-backends/references/troubleshooting.md3.2 KB
sub-skills/configuration-backends/scripts/check_cognee_environment.py3.8 KB
sub-skills/configuration-backends/SKILL.md3.2 KB
sub-skills/core-memory/references/api-reference.md3.1 KB
sub-skills/core-memory/references/troubleshooting.md1.9 KB
sub-skills/core-memory/references/workflows.md2.9 KB
sub-skills/core-memory/scripts/cognee_memory_smoke.py1.2 KB
sub-skills/core-memory/SKILL.md2.4 KB
sub-skills/search-retrieval/references/api-reference.md3.2 KB
sub-skills/search-retrieval/references/search-modes.md2.6 KB
sub-skills/search-retrieval/references/troubleshooting.md1.9 KB
sub-skills/search-retrieval/scripts/choose_search_mode.py2.3 KB
sub-skills/search-retrieval/SKILL.md2.2 KB

SKILL.md（原文）

インストールする前に、エージェントに与えられる指示の中身を確認できます。

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:

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

Minimal package install:

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
Choose `SearchType`, tune recall/search, handle empty results or invalid query knobs	sub-skills/search-retrieval/SKILL.md
Configure LLMs, embeddings, database/storage backends, optional extras, env vars, and paths	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
Use session memory, feedback entries, agent memory decorators, agent identities, or multi-agent isolation	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

Shared references

references/package-overview.md — package identity, public surface, and sub-skill boundaries.
references/troubleshooting.md — cross-cutting install/import/credential/backend issues.
references/repo-provenance.md — source snapshot and refresh baseline.
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.

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