logicrw/awesome-jev-projects

Awesome Jev: source-backed open-source ecosystem radar, plain-language project discovery, and automatic GitHub sync

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README & documentation

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English  •  简体中文  •  日本語  •  한국어 🌐 Search and filter ↗  |  🤖 Install the Agent Skill  |  📂 Categories  |  🚀 Submit a project (Issue only) When building autonomous agents, routing every small branching decision to a heavy reasoning model (System 2) incurs seconds of latency, runaway token costs, and context drift. TypeSafe Jev (System 1) is purpose-built for fast, typed discrete decisions: A community-maintained directory and radar for Jev, highlighting open-source projects with verified code and clear decision architectures. Entries are linked to commit-pinned source code and specific decision points for easy reference. Compatible implementations clearly…

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Read the full README ↗ · Preview checked 2026-09-29T22:55:14.987Z

Inside the original README — Document outline
  1. Awesome Jev — System-1 Agent Architecture Radar
  2. 💡 Why Jev & System-1 Decision Architecture?
  3. 📊 Architecture Comparison: System 1 (Jev) vs System 2 (Reasoning LLMs)
  4. 🎮 Key Interactive Features
  5. Sponsorship · Paid placements
  6. Install the Agent Skill
  7. Categories
  8. Browser & OS Action
  9. CLI & Pipelines
  10. Classification
  11. Code Navigation
  12. Context GC

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Documentation belongs to its respective authors. Reported project/model license: MIT. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

What this repository does

Awesome Jev: source-backed open-source ecosystem radar, plain-language project discovery, and automatic GitHub sync

Repository facts

Owner
logicrw
Primary language
JavaScript
Stars
514
Forks
44
Open issues + pull requests
0
License
MIT
Archived
No
Default branch
main
Created
2026-09-18T06:41:50.000Z
Last push
2026-09-24T15:50:47.000Z

Topics and intended use

Owner-supplied topics: ai-agents, awesome, awesome-list, decision-model, developer-tools, jev, jev-model, system-one, typesafe-ai

Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.

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Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.

README and project files

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Releases and changelog

Source and freshness

Source: GitHub. Metadata observed 2026-09-25T12:03:43.116Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

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