GitHub Repository Detail
topoteretes/cognee
topoteretes/cognee · generated-local-file
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine — a GitHub Skill repository verified at commit fd5045f with 11 SKILL.md files for data analysis workflows.
Skill Overview
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine — a GitHub Skill repository verified at commit fd5045f with 11 SKILL.md files for data analysis workflows.
What task this skill solves
This is a repository-level resource. The directory does not split its multiple Skills into duplicate entries. Review the representative paths and sampled commit, then use the upstream README for installation and runtime requirements.
- Check the default branch, sampled commit, and last push.
- Use representative SKILL.md paths to judge task coverage.
- Independently review upstream code, scripts, license, and permissions before installation.
Resource Type
GitHub Hot Skill Repositories
Categories
Data & Analysis
Tags
Data Analysis, agent-memory, agent-skills, ai, ai-agents, GitHub Skills
The download is an EasyGlobe-authored bilingual repository brief with verification evidence, not a redistributed repository or directly installable single Skill.
Detailed Skill Introduction
What topoteretes/cognee is for
topoteretes/cognee is an AI agent skill resource for Data & Analysis workflows. Based on the archived project material, its core value is: Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine — a GitHub Skill repository verified at commit fd5045f with 11 SKILL.md files for data analysis workflows.. This detail page focuses on the practical questions to answer before adopting the skill: what task it solves, how setup works, which README notes matter, where the local Markdown copy is available, and whether the workflow can be adapted for Claude, Codex, Gemini, Kimi, GLM, ChatGPT, or an internal AI agent.
README summary
> This is an EasyGlobe-authored bilingual repository brief, not a redistributed third-party Skill and not an installable copy of the repository. Review the upstream repository before use.
README capability notes
| Path | Frontmatter name | Frontmatter description | SHA-256 |
| --- | --- | --- | --- |
| .claude/skills/cognee-cli/SKILL.md | 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. | 225931b0e5e0997b28fc30f0e3da7ad6ff8c5b264a7be65c98ce7f015aa7e15a |...
Workflow fit and practical value
The current taxonomy places topoteretes/cognee under Data & Analysis, with tags such as Data Analysis, agent-memory, agent-skills, ai, ai-agents, GitHub Skills. That means the skill should be evaluated through the lens of repeatable work: what task it helps an AI agent perform, what context the agent needs, what output a user should expect, and whether the workflow can be reused as a team SOP. The archived README is used as the first source of truth whenever it includes feature lists, examples, setup notes, or usage guidance. The local Markdown download is useful for review, internal documentation, and adapting the instructions into your own agent skills repository.
Installation, usage, and platform notes
No explicit installation section was found in the archived README. Open the original source for the official setup path; the download button provides the local Markdown copy saved by EasyGlobe. Use this skill when the task involves Data Analysis, agent-memory, agent-skills, ai, ai-agents, GitHub Skills. It can be adapted into Claude Skills, Codex Skills, Gemini Skills, Kimi Skills, GLM Skills, or a team SOP. If the README does not include a complete command-by-command setup path, the Skill URL remains the official source for the latest installation instructions. Platform support should be confirmed from the original project, but the information on this page is organized so it can be reused as a reference for Claude, Codex, Gemini, Kimi, GLM, ChatGPT, or internal AI agent workflows.
Capabilities
| Path | Frontmatter name | Frontmatter description | SHA-256 |
| --- | --- | --- | --- |
| .claude/skills/cognee-cli/SKILL.md | 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. | 225931b0e5e0997b28fc30f0e3da7ad6ff8c5b264a7be65c98ce7f015aa7e15a |
| .claude/skills/cognee-community/SKILL.md | cognee-community | Use when the user needs something that ships outside cognee core — community database adapters (Qdrant, Milvus, Weaviate, Redis, Pinecone, FalkorDB, Memgraph, DuckDB, NetworkX, …), data-source connectors (Slack, Gmail, Notion, Confluence, Google Drive), custom tasks/pipelines/retrievers (Exa, ScrapeGraph, codify), Keywords AI observability — or wants to contribute a package to the cognee-community repo. | e209920e483a3e2a0f8bf0fb8a25a40abf19f87ad9ff9c4ebaa27409169f7e0a |
| .claude/skills/cognee-docker/SKILL.md | cognee-docker | Use when the user wants to run cognee with Docker or docker compose — trying it out from the prebuilt image, starting the API server in a container, or bringing up the full stack (UI, MCP, Postgres, Neo4j) with compose profiles. | a55b712264657fe1d306027c342050ec3815cad399c2678d5615d3e9d3233d46 |
| .claude/skills/cognee-install/SKILL.md | cognee-install | Use when the user wants to install cognee and run their first remember → recall flow with the Python SDK — fresh setup, virtual env, extras selection, or a minimal working example. | 93387b9bf6761bc73b7d39ee643b7879565700de7d1a6d3aadace6999967faa4 |
| .claude/skills/cognee-integrations/SKILL.md | cognee-integrations | Use when the user wants to connect cognee to external services — switching LLM or embedding providers (OpenAI, Azure, Gemini, Anthropic, Ollama, OpenRouter), changing databases (Postgres, PGVector, Neo4j, Neptune, Turso), S3 storage, or the MCP server for IDE integration. | b9c18daf592c3adf434545f40ac5bd4ccc3ee56c0b3291488c607d1b5e913772 |
Source: https://github.com/topoteretes/cognee
Supported Platforms
Use this skill as a reference template for these AI agents, model workflows, or team SOPs.
Configuration & Updates
No standalone configuration section was detected in the archive. If the source project requires API keys, account auth, CLI setup, or plugin config, follow the Skill URL.
README Command Examples
No displayable command code block was detected in the README.
Tags
FAQ
Is topoteretes/cognee a single Skill?
No. This page represents one GitHub repository. It may contain multiple Skills, and at least one sampled SKILL.md passed the name and description frontmatter gate.
What is in the repository brief download?
It contains an EasyGlobe-authored bilingual summary, repository metadata, representative paths, and frontmatter content hashes. It does not contain the third-party repository or original Skill text.
How is the hot rank calculated?
The score combines weekly/monthly GitHub trend signals, log-normalized stars, age-adjusted stars per day, recent push/release activity, and Skill packaging, documentation, license, and static safety clarity.
Is verification a security audit?
No. Verification confirms repository eligibility, valid frontmatter, and a limited set of static risk patterns. Independently review upstream code, scripts, and permissions before installation.