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devglobe

Developer discovery network searchable by humans and AI agents—skills, location, and contribution signals.

  • Windows
  • macOS
  • Linux
  • Browser
  • Runs locally
  • Docker supported
  • Needs API key
Open websiteView on GitHub
devglobe screenshot
Popularity
33 Stars
GitHub stars
Recent activity
10/4/2026
Updated in the last 30 days
License
MIT
Permissive

Why it matters

We look beyond stars: what problem it solves, whether it creates real utility, and what makes its approach worth noticing.

Last 90 days

Problem

In the era of AI agents, efficiently and accurately identifying experts with specific skills from the vast pool of open-source contributors remains a significant challenge in developer discovery.

Practical value

By exposing developer data via the MCP protocol, it provides a technical interface for automated recruitment and collaboration, though its practical utility depends heavily on data freshness and coverage.

Innovation / differentiation

It combines 3D visualization with vector search and a multi-dimensional contribution scoring algorithm, transforming traditional static lists into an interactive, semantic search experience.

Leverage potential

By integrating Azure Cosmos DB and OpenAI for search, the project offers a useful reference for developers interested in data pipelines and MCP interface implementation.

Why now

As the AI agent ecosystem expands rapidly, the demand for machine-readable developer profiles and skill discovery is currently on the rise.

Community activity

In the last 90 days there were 141 new issues and 266 pull requests; the bounded issue/PR samples include 4 issue authors and 6 PR contributors, with 3 releases.

Maintainer responsiveness

The 100-issue window sample had a 40% close rate, and the 100-pull-request sample had a 98% merge rate. Maintainer-response observations covered 81% of that issue sample, with a 14% response rate and median first response of 1 days.

6 contributors in PR sample3 releasesIssue response rate 14% · sample 81 (81% coverage)Median first response 1dPR merge rate 98% · 100 sampled in window

Key highlights

  • Interactive 3D Globe — Explore developers pinned to their real-world locations using Three.js
  • AI-Powered Search — Hybrid + vector search via Azure Cosmos DB (e.g. "AI & deep learning", "full stack JS dev")
  • Composite Scoring — Each developer scored 0–100 across 6 dimensions

Quick start

How it is installed, how hard it is, and where to start.

Docker supportedRuns locally

Best for

  • Developers who want to try it on their machine
  • People who prefer Docker deploys

Watch outs

  • 5 inferred from materials — review under Sources below

More about it

DevGlobe is a developer discovery network—search by skill, location, and contribution signals, including machine-readable access for agents (e.g. via MCP). “Finding people” becomes a ranked directory instead of social-media archaeology.

Scoring methodology drives fairness; treat it as a lead source, not ground truth. It fits OSS community ops and teams hunting collaborators.

Sources

Each field shows its status and source — expand to review.

10 · Expand

  • Latest release

    Verified

    v0.6.0

    Source: GitHub API · latest_release=v0.6.0 · 10/10/2026

  • License

    Verified

    MIT

    Source: GitHub API · license.spdx_id=MIT · 10/10/2026

  • logo url

    Verified

    None

    Source: admin_cms · cms editor · 8/28/2026

  • needs api key

    Inferred from materials

    Yes

    Source: Project README · matched api key keywords · 8/16/2026

  • One-liner

    Verified

    {"en":"Developer discovery network searchable by humans and AI agents—skills, location, and contribution signals.","zh":"DevGlobe 解决了一个在 AI Agent 时代日益突出的问题：如何以机器可读的方式发现并连接具备特定技能的开发者。它通过 MCP 协议将开发者数据转化为 Agent 可用的工具，并结合向量搜索和多维度贡献评分，超越了传统的…"}

    Source: heuristic_batch_publish · batch-publish-tools heuristic write · 8/24/2026

  • Platforms

    Inferred from materials

    windows, macos, linux, browser

    Source: Project README · windows,macos,linux,browser · 8/16/2026

  • Category hint

    Inferred from materials

    ai-apps

    Source: Project README · hint=ai-apps · 8/16/2026

  • screenshot url

    Verified

    None

    Source: admin_cms · cms editor · 8/28/2026

  • supports docker

    Verified

    Yes

    Source: Repository file · dockerfile=true; compose=false · 10/10/2026

  • supports local

    Inferred from materials

    Yes

    Source: Project README · matched local keywords · 8/16/2026

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