Production-grade platform for building agentic IM bots - 生产级多平台智能机器人开发平台/ Agent、知识库编排、插件系统 / Bots for Discord / Slack / LINE / Telegram / WeChat(企业微信, 企微智能机器人, 公众号) / 飞书 / 钉钉 / QQ / Matrix e.g. Integrated with ChatGPT(GPT), DeepSeek, Dify, n8n, Langflow, Coze, Claude, Gemini, GLM, Ollama, SiliconFlow, Moonshot, openclaw / hermes agent, deerflow
RepoWorth$25,192Current measured development value · 14.3 active build days
Rebuild complexity97.118/100Profile: Complex
1.8M code tokens772 source filesPython primary language
Authored code1.8M tokens · 205,335 source lines
Complexity97.118/100 · Complex
Primary stackPython
Scan coverage95.48% · Content scan
RepoWorth development valuation
One valuation, with the evidence behind it.
RepoWorth models the current development value represented by the visible repository evidence. It does not include ideation, intellectual property, business value, product discovery, or sale price.
RepoWorthCurrent measured development value$25,192
Modeled range $20,153 to $30,230
14.3 active build days114.5 engineering hours1.4M implementation tokens
Repository evidenceMeasured at the scanned commit1.8M tokens
205,335 source lines across 772 authored files
186 test files288 dependencies95.48% scan coverage
Measured RepoWorth history
The current RepoWorth starts the measured history.
This current scan is the first measured point. Later scans add comparable history when the repository changes. RepoWorth is not back-cast onto commits that were never scanned.
Recorded RepoWorth$25,192
Current measured reading
Measurement basisCurrent readingCurrent published repository scanEvidence coverage95%current scanComplexity97/100Measured from code scale and structural signalsMaintainability67/100Current structure, tests, and generated-code balance
This current scan establishes the RepoWorth baseline. Comparable value changes appear only after another completed scan under the same measurement basis.
52-week repository activity
1,084 commits across the public default-branch history.
Commit activity provides delivery context. It does not assign a historical RepoWorth to unscanned commits or treat commit count as value.
RepoWorth history compares completed repository scans only when their measurement basis is compatible. Commit activity is shown separately so delivery volume is not presented as code value.
Repository contributors
Top contributors.
Ranked from the public GitHub contributor evidence available at the latest scan. This table describes measured repository activity, not ownership or original authorship.
These values come from the same immutable repository scan as the headline RepoWorth. They stay tied to the scanned commit so the reading can be inspected against one exact source state.
Maintainability signal67/100
Established based on deterministic repository structure and complexity signals.
Production source1.3M tokens
First-party implementation tokens eligible for the modeled code-scale input.
Test evidence432.3K tokens
186 detected test files contribute separately from production code.
Configuration and infrastructure3.6K tokens
3 manifests and 0 workspace boundaries were detected.
Documentation147.8K tokens
88 documentation files remain visible as a distinct enablement signal.
Integration surface7,846 signals
288 dependency declarations and 535 public-interface signals were measured.
Repository structure9 levels deep
0 large files and 18,502 branch signals add structural context.
Excluded from authored evidence0 files
0 generated files were identified. Ignored and generated material does not inflate RepoWorth.
Measured repository distinctions
Repository evidence highlights.
Each highlight records a measured characteristic of the same repository scan used for this RepoWorth report.
architecture
Interface builder
At least 500 deterministic public interface signals were measured in source.
enablement
Documented foundation
At least 100,000 documentation tokens were measured in public documentation paths.
architecture
Integration surface
At least 1,000 deterministic integration signals were measured in source.
quality
Verification depth
At least 20 percent of measured source tokens are in test paths.
Technical effort profile
What makes this repository harder to rebuild.
Code scale, branching, dependencies, languages, structure, and visible test evidence shape the implementation and verification effort represented by this repository.
Code scaleHigh
Measured from the current source archive.
ComplexityHigh
Derived from branch density, dependencies, languages, and code scale.
VerificationHigh
Measures visible test code relative to the source corpus.
Development effort composition
Source volume alone does not explain the work.
This view separates authored evidence from the implementation, integration, verification, and engineering oversight represented by the current repository.
Reading boundary: These are modeled development inputs for the visible code. They do not include product discovery, company value, private systems, or commercial outcomes.
Weighted authored evidence1.4MProduction, tests, configuration, and documentation
Estimated implementation output1.4MImplementation, retries, integration, and verification
Engineering oversight114.5 hoursOrientation, integration, tests, and review
Active build time14.3 daysModeled effort represented by the current source state
Evidence boundary
What this valuation includes.
CodeValuation.com counted supported authored source on commit 38e35d328a13f6561c14a21ea734c2fa75c0e4d7, measured deterministic repository signals, then estimated implementation, rework, testing, integration, and engineering oversight.
Common generated and vendored files, build output, dependencies, lockfiles, minified assets, binaries, media, and private systems outside this repository.
Not claimed
Ideation, intellectual-property rights, security posture, production reliability, company value, sale price, revenue, user value, proprietary data, or the cost of discovering the original product.
This is a modeled current development valuation for the repository's visible code at a specific commit. It reflects code volume, implementation output, complexity, and engineering oversight. It is not a business valuation, investment appraisal, security review, or estimate of sale price, ideation, intellectual property, revenue, users, brand, proprietary data, undocumented domain knowledge, or private infrastructure.
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