Repository intelligence

TGYD-helige/pi

GitHub

A collection of modular, composable, and ESM-only TypeScript packages providing shared runtime contracts, persistence adapters, and orchestration helpers for Pi runtime applications.

CLOUDM0N decision
REVIEW BEFORE ADOPTION
Trust REVIEW · 35/100
Good fit if

TypeScript and Node.js developers building custom AI agents who want to selectively load specific agent tools like browser automation, scheduled tasks, or workspace integrations without bloated dependencies

Watch out for

Does not work out of the box as a standalone application; host applications must manually implement HTTP routing, authentication, model runtime configuration, and user interfaces

Practical intelligence

What matters before you adopt it

Best for
TypeScript and Node.js developers building custom AI agents who want to selectively load specific agent tools like browser automation, scheduled tasks, or workspace integrations without bloated dependencies
Developers looking to deploy AI agent integrations directly into enterprise workspaces like Lark, WeCom, or DingTalk
Teams utilizing the DeepSeek Harness ecosystem and looking to deploy Pi runtime extensions through compatible hosts
Main trade-offs
Does not work out of the box as a standalone application; host applications must manually implement HTTP routing, authentication, model runtime configuration, and user interfaces
All packages are strictly ESM-only, limiting integration with older CommonJS projects
Compatibility with DeepSeek Harness (DSH) is highly sensitive to version mismatches among the host, DSH, Pi, and extension package versions
Why it stands out
Supports both local JSON files and production MySQL databases through native Prisma persistence adapters
Modular extension registry allowing on-demand loading of packages via focused `./extension` subpath entry points
Includes a wide range of pre-built integrations, ranging from basic telemetry (Langfuse, OpenTelemetry) to advanced media utilities (AI video generation with bundled FFmpeg runtimes)
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. 4 sample match(es) found.
MEDIUM
Dynamic code execution pattern detected. 2 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. 2 sample match(es) found.
MEDIUM
1 lifecycle install script(s) require review.
Architecture from code22 modules · 2 edges
Structural evidence

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

Code files
320
Modules
22
Dependency edges
2
Core modules
(root)
1 files
packages/pi-attachments
5 files
packages/pi-browser-use
15 files
packages/pi-channels
20 files
packages/pi-computer-use
13 files
packages/pi-dingtalk
6 files
packages/pi-goal
17 files
packages/pi-image-gen
27 files
packages/pi-lark
7 files
packages/pi-memory
18 files
packages/pi-memory-mem0
18 files
packages/pi-security
7 files
Dependency flow
packages/storagepackages/pi-task-scheduler
Detected languages
TypeScript · JavaScript · SQL · Shell
Detected frameworks
Vitest
Architecture evidence details
flowchart TD
    %% pi — high-level architecture (DRAFT, refine me)
    n0["(root) · 1 file"]
    n1["packages/pi-attachments · 5 files"]
    n2["packages/pi-browser-use · 15 files"]
    n3["packages/pi-channels · 20 files"]
    n4["packages/pi-computer-use · 13 files"]
    n5["packages/pi-dingtalk · 6 files"]
    n6["packages/pi-goal · 17 files"]
    n7["packages/pi-image-gen · 27 files"]
    n8["packages/pi-lark · 7 files"]
    n9["packages/pi-memory · 18 files"]
    n10["packages/pi-memory-mem0 · 18 files"]
    n11["packages/pi-security · 7 files"]
    n12["packages/pi-task-scheduler · 8 files"]
    n13["packages/pi-teamwork · 4 files"]
    n14["packages/pi-telemetry · 15 files"]
    n15["packages/pi-video-gen · 48 files"]
    n16["packages/pi-web-access · 33 files"]
    n17["packages/pi-wecom · 6 files"]
    n18["packages/shared · shared code · 7 files"]
    n19["packages/storage · 25 files"]
    n20["tests · tests · 20 files"]
    n19 --> n12
    n20 --> n15
    class n18 shared
    class n20 test
    classDef shared fill:#79706e,color:#ffffff,stroke:#5d5654
    classDef test fill:#499894,color:#ffffff,stroke:#397975
Evidence, security & integrations
Integrations
Security notes
Still unknown
The README does not provide concrete API schemas or configuration parameters for the individual packages
Does not detail system resource, memory, or CPU requirements for heavier extension tools like computer-use and local video processing
Does not specify which databases besides MySQL are supported by the @amaster.ai/pi-storage Prisma schema
Agent handoff
Use with any agent
JSON API
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