go-fuzz

go-fuzz

dvyukov
+
+

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About

Graphify is an open source knowledge graph engine that turns any input, including code, docs, papers, meetings, images, browser tabs, and commits, into one traversable graph with complete recall. It is built as persistent memory for AI coding assistants, giving tools like Claude Code, Codex, OpenCode, Cursor, Gemini CLI, GitHub Copilot CLI, Aider, Factory Droid, Kimi Code, Kiro, Pi, and Google Antigravity a queryable understanding of a project instead of making them repeatedly grep through files. Users can point Graphify at any directory, and it builds an initial corpus through AST extraction, semantic analysis, and Leiden clustering, transforming an entire codebase or document corpus into a graph in one pass. Unlike RAG pipelines that re-embed everything on every change, Graphify maintains a living graph that updates only affected nodes and edges when files change, allowing the rest of the corpus to stay intact even at enterprise scale.

About

Go-fuzz is a coverage-guided fuzzing solution for testing Go packages. Fuzzing is mainly applicable to packages that parse complex inputs (both text and binary) and is especially useful for hardening systems that parse inputs from potentially malicious users (anything accepted over a network). go-fuzz has recently added preliminary support for fuzzing Go Modules. If you encounter a problem with modules, please file an issue with details. Data is a random input generated by go-fuzz, note that in most cases it is invalid. The function must return 1 if the fuzzer should increase the priority of the given input during subsequent fuzzing if the input must not be added to the corpus even if it gives new coverage, and 0 otherwise; other values are reserved for future use. The fuzz function must be in a package that go-fuzz can import. This means the code you want to test can't be in package main. Fuzzing internal packages is supported, however.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI-assisted software teams and research groups that need a persistent knowledge graph to help coding agents understand codebases, documents, architecture, and project context across sessions

Audience

Developers looking for a solution to manage their network protocol fuzzing operations

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Graphify
United States
graphifylabs.ai/

Company Information

dvyukov
github.com/dvyukov/go-fuzz

Alternatives

claude-mem

claude-mem

cmem.ai

Alternatives

LibFuzzer

LibFuzzer

LLVM Project
CMEM Cloud

CMEM Cloud

cmem.ai
Atheris

Atheris

Google
Hindsight

Hindsight

Vectorize
Constellation

Constellation

ShiftinBits Inc
ClusterFuzz

ClusterFuzz

Google

Categories

Categories

Integrations

Aider
C++
Claude Code
Codex CLI
Cursor
Factory Droid
Gemini CLI
Go
Google Antigravity
Hermes Agent
Java
Kimi Code
Kimi Code CLI
Kiro
OpenAI Codex
OpenClaw
Python
Ruby
Rust
Swift

Integrations

Aider
C++
Claude Code
Codex CLI
Cursor
Factory Droid
Gemini CLI
Go
Google Antigravity
Hermes Agent
Java
Kimi Code
Kimi Code CLI
Kiro
OpenAI Codex
OpenClaw
Python
Ruby
Rust
Swift
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