FalkorDB – Ultra‑fast GraphDB for LLM‑powered Knowledge Graphs
From the repo · “A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).”
FalkorDB provides a super fast graph database for your startup, utilizing GraphBLAS for sparse adjacency matrix graph representation to power Knowledge Graphs for Large Language Models (LLMs)
- •Building a knowledge graph for an LLM
- •Needing a high-performance graph database for complex relationships
- •Developing applications requiring fast graph queries and traversals
Run `./falkordb_client -h localhost -p 8000 -q 'MATCH (n) RETURN n'` to query all nodes in the graph
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/falkordb && curl -fsSL https://workflowstacks.com/api/skills/falkordb/claude-skill -o ~/.claude/skills/falkordb/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
FalkorDB – Ultra‑fast GraphDB for LLM‑powered Knowledge Graphs is a very large Rust project (~121k lines across 222 code files, plus 155 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Other license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2CLAUDE.mdThe instructions the AI actually follows
- 3Cargo.tomlDependencies and the commands it exposes
- 4src/allocator.rsInside src/ — the main logic begins here
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/falkordb && curl -fsSL https://workflowstacks.com/api/skills/falkordb/claude-skill -o ~/.claude/skills/falkordb/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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Do this with a working workflow
Pages we wrote and tested that put a skill like this to work — importable n8n templates, outcome guides and Claude Desktop configs.
GitHub MCP config
Search repos, read code, open issues and PRs from Claude.
MCP configMemory (knowledge graph) MCP config
Persistent memory across chats via a local knowledge graph.
MCP configContext7 (live docs) MCP config
Pull up-to-date library docs into Claude so it codes against the real API.
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