Add graph-backed memory and context retrieval to agent workflows
Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.
Skill by agentskillexchange
Chalk Labs
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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/agentskillexchange-add-graph-backed-memory-and-context-retrieval-to-agent-workfl
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
Use cases: agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
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
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/add-graph-backed-memory-and-context-retrieval-to-agent-workflows
What's inside
- Skill name
Add graph-backed memory and context retrieval to agent workflows- Description
- Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.
- License
- MIT
- Instructions
- 34 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- name: only lowercase letters, digits and single hyphens allowed
- name: "Add graph-backed memory and context retrieval to agent workflows" does not match folder "add-graph-backed-memory-and-context-retrieval-to-agent-workflows"
Files (1)
- SKILL.md
SKILL.md (first lines)
# Add graph-backed memory and context retrieval to agent workflows Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows. ## Prerequisites Python, Cognee, LLM provider credentials, optional graph/vector database backend ## Installation Prerequisite: Python 3.10 to 3.14. Install Cognee with uv or pip: - uv pip install cognee - pip install cognee For Claude Code persistent memory, upstream documents installing the Cognee integration plugin: - claude plugin marketplace add topoteretes/cognee-integrations - claude plugin install cognee-memory@cognee - Source: https://github.com/topoteretes/cognee - Extracted from upstream docs: https://raw.githubusercontent.com/topoteretes/cognee/HEAD/README.md ## Documentation - https://docs.cognee.ai ## Source - [Agent Skill Exchange](https://agentskillexchange.com/skills/add-graph-backed-memory-and-context-retrieval-to-agent-workflows/)
From agentskillexchange/skills, MIT.
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Signals
- Stars
- 58
- Forks
- 96
- Open issues
- 4
- Last commit (this folder)
- Jul 23, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/agentskillexchange/skills
- Website
- agentskillexchange.com
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
Add graph-backed memory and context retrieval to agent workflows skill. Agent Mart. https://agentmart.dev/skills/agentskillexchange-add-graph-backed-memory-and-context-retrieval-to-agent-workfl (last updated 2026-10-24)