What Tablif read on Graphicle's site
Graphicle describes itself as: “GitHub - Graphicle-AI/graphicle: Code graph and memory for your coding agents, in one Rust program. For Claude Code, Codex, Cursor and any MCP client. · GitHub”
- Stage: Live, no waitlist
- Alternative to: Graphify
- How it differs: “One program, not a stack.”
What it is
Calls itself “code graph” and “memory”.
- Calls itself: code graph · memory
“Code graph and memory for your coding agents, in one Rust program.”
Where it puts itself
Positions itself as an alternative to Graphify. Claims “3 to 22.7x faster”. Rules out “no API key needed”, “no account” and “no telemetry”.
- Alternative to: Graphify
- Superlative claim: 3 to 22.7x faster
- Says it will not: no API key needed · no account · no telemetry
“One program, not a stack.”
“Coming from Graphify?”
Who it sells to
Sells to developers. Made for coding agents.
- Sells to: developers
- Made for: coding agents
“Code graph and memory for your coding agents, in one Rust program. For Claude Code, Codex, Cursor and any MCP client.”
“Code graph and memory for your coding agents”
How it runs
A command-line tool and web app for Linux, Windows and macOS. Runs locally and works offline. Distributed through the Homebrew. Offers an API. Open source.
- Kind: cli · web
- Runs on: Linux · Windows · macOS
- Runs where: on the device, offline
- Distributed via: Homebrew
- API: yes
- Open source: yes
“One program, not a stack. The code graph, the memory, one MCP server, the web app and the command line come in one install”
“Linux”
What it works with
Names BM25, Claude Code and 5 more on its pages.
- Names: BM25 · Claude Code · Codex · +4
“Graphicle 0.1.8 put a file the fix changed in its first 5 files for 75 issues, against 61 for BM25”
“For Claude Code, Codex, Cursor and any MCP client.”
What it offers as proof
Live, no waitlist. Claims “22 questions”. Try it without signing up. Publishes docs.
- Number claimed: 22 questions
- Instant signup: yes
- Trial asks for: nothing
“…brew install graphicle-ai/tap/graphicle”
“Graphicle 0.1.8 against 0.1.7 on kubernetes (a shallow clone at ca8a2a9e4 ), the 22 questions of issue #8 , our Linux server: a median of 1.34 s per graphicle context call on 16 cores, against 2.99 s, each call a new process.”
Sources
Tablif read these pages, last on 27 Oct 2026. Everything above is what the product says about itself; Tablif does not verify every claim.
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