Repository intelligence

zhayujie/CowAgent

GitHub

Open-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-model, multi-channel. Lightweight, extensible, one-line install. (formerly chatgpt-on-wechat)

CLOUDM0N decision
REVIEW BEFORE ADOPTION
Trust REVIEW · 35/100
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
5
CLOUDM0N scanner findings
Critical
0
High
1
Medium
4
Low
0
View trust evidence & security findings
Why this score
No trust rationale was stored for this scan.
CLOUDM0N findings
HIGH
Remote download piped or chained into a shell requires manual review. 3 sample match(es) found.
MEDIUM
Dynamic code execution pattern detected. 4 sample match(es) found.
MEDIUM
The project can spawn operating-system processes; review command construction and input handling. 5 sample match(es) found.
MEDIUM
Broad permission or elevated-command pattern detected. 5 sample match(es) found.
MEDIUM
Dockerfile does not end with an explicit non-root USER.
Architecture from code16 modules · 56 edges
Structural evidence

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

Code files
482
Modules
16
Dependency edges
56
Core modules
(root)
2 files
agent
AI/LLM agents
119 files
bridge
6 files
channel
51 files
cli
11 files
common
shared code
18 files
desktop
77 files
models
data models
43 files
plugins
27 files
skills
4 files
translate
7 files
voice
26 files
Dependency flow
(root)agent
(root)bridge
(root)channel
(root)common
(root)plugins
agent(root)
agentbridge
agentchannel
agentcommon
agentmodels
bridge(root)
bridgeagent
bridgecommon
bridgemodels
Detected languages
Python · TypeScript · JavaScript · Shell
Detected frameworks
NumPy · Requests · aiohttp · python-telegram-bot
Architecture evidence details
flowchart TD
    %% cowagent — high-level architecture (DRAFT, refine me)
    n0["(root) · 2 files"]
    n1["agent · AI/LLM agents · 119 files"]
    n2["bridge · 6 files"]
    n3["channel · 51 files"]
    n4["cli · 11 files"]
    n5["common · shared code · 18 files"]
    n6["desktop · 77 files"]
    n7["models · data models · 43 files"]
    n8["plugins · 27 files"]
    n9["skills · 4 files"]
    n10["tests · tests · 91 files"]
    n11["translate · 7 files"]
    n12["voice · 26 files"]
    n0 --> n1
    n0 --> n2
    n0 --> n3
    n0 --> n5
    n0 --> n8
    n1 --> n0
    n1 --> n2
    n1 --> n3
    n1 --> n5
    n1 --> n7
    n2 --> n0
    n2 --> n1
    n2 --> n5
    n2 --> n7
    n2 --> n11
    n2 --> n12
    n3 --> n0
    n3 --> n1
    n3 --> n2
    n3 --> n4
    n3 --> n5
    n3 --> n7
    n3 --> n8
    n3 --> n12
    n4 --> n0
    n4 --> n1
    n5 --> n0
    n5 --> n1
    n5 --> n2
    n5 --> n8
    n7 --> n0
    n7 --> n1
    n7 --> n2
    n7 --> n5
    n8 --> n0
    n8 --> n1
    n8 --> n2
    n8 --> n3
    n8 --> n4
    n8 --> n5
    n8 --> n7
    n10 --> n0
    n10 --> n1
    n10 --> n2
    n10 --> n3
    n10 --> n4
    n10 --> n5
    n10 --> n7
    n10 --> n8
    n10 --> n11
    n10 --> n12
    n11 --> n0
    n12 --> n0
    n12 --> n2
    n12 --> n5
    n12 --> n7
    class n1 core
    class n7 data
    class n5 shared
    class n10 test
    classDef core fill:#e15759,color:#ffffff,stroke:#b04547
    classDef data fill:#59a14f,color:#ffffff,stroke:#46803e
    classDef shared fill:#79706e,color:#ffffff,stroke:#5d5654
    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 →
dify
langgenius/dify
62
Fit

Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.

Trust REVIEW · 10
Compare →
golutra
golutra/golutra
92
Fit

Multi-agent AI orchestration platform for automation, workflows, and developer tools. Golutra transforms Codex, Claude Code, and OpenClaw into a unified agent system with parallel execution, task orchestration, long-running workflows, and AI productivity workspace.

Trust REVIEW · 45
Compare →
SztuCode
rojim666/SztuCode
34
Fit

本地优先的 AI 编程 Agent,支持 TUI/桌面端、工具权限、会话记忆、Skills、Subagents 与 MCPA local-first AI coding agent with TUI and desktop clients, tool permissions, memory, Skills, Subagents, and MCP support.。

Trust REVIEW · 45
Compare →