Repository intelligence

harshkedia177/axon

GitHub

Graph-powered code intelligence engine — indexes codebases into a knowledge graph, exposed via MCP tools for AI agents and a CLI for developers.

CLOUDM0N decision
REVIEW BEFORE ADOPTION
Trust REVIEW · 90/100
Good fit if

Teams whose requirements match this repository’s core capability.

Watch out for

Review deployment and security evidence before production adoption.

Practical intelligence

What matters before you adopt it

Best for
Teams whose requirements match this repository’s core capability.
Main trade-offs
Review deployment and security evidence before production adoption.
Trust & CVEs

Security evidence without the noise

Trust remains a decision signal; CVEs and scanner evidence explain what is driving the risk.

Security findings
1
CLOUDM0N scanner findings
Critical
0
High
0
Medium
1
Low
0
View trust evidence & security findings
Why this score
No trust rationale was stored for this scan.
CLOUDM0N findings
MEDIUM
The project can spawn operating-system processes; review command construction and input handling. 5 sample match(es) found.
Architecture from code4 modules · 0 edges
Structural evidence

Modules and dependency edges extracted from repository code. This is code evidence, not README inference.

Code files
145
Modules
4
Dependency edges
0
Core modules
src/axon
107 files
Dependency flow
No dependency edges were extracted.
Detected languages
Python · TypeScript
Detected frameworks
FastAPI
Architecture evidence details
flowchart TD
    %% axoniq — high-level architecture (DRAFT, refine me)
    n0["src/axon · 107 files"]
    n1["tests · tests · 38 files"]
    class n1 test
    classDef test fill:#499894,color:#ffffff,stroke:#397975
Agent handoff
Use with any agent
JSON API
Alternatives

Nearby repositories worth comparing before adoption.

Compare top options →
codebase-memory-mcp
DeusData/codebase-memory-mcp
71
Fit

This MCP server transforms how developers interact with codebases by building a persistent knowledge graph that indexes repositories in milliseconds across 155 programming languages. With sub-millisecond query speeds and 99% token reduction, it enables AI coding assistants like Cursor, Claude Code, and Windsurf to understand your entire codebase context without drowning in context windows. Built as a single static binary with zero dependencies, it runs anywhere.

Trust REVIEW · 55
Compare →
akb
dnotitia/akb
47
Fit

AKB — Agent Knowledgebase. Organizational memory for AI agents: vault-scoped docs / tables / files unified by URI graph, served over MCP.

Trust REVIEW · 70
Compare →
Waggle-mcp
Abhigyan-Shekhar/Waggle-mcp
41
Fit

MCP server for external memory layer for AI agents + more . Download from pypi , and get started

Trust REVIEW · 80
Compare →