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ModelEngine-Group/nexent

Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.

Python MIT main Stack scanned README.md
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Stars
5,085
Forks
641
Watchers
223
Issues
257
Commits
5,316
Awesome lists
1

Activity and growth

Tracked growth, recent movement, and commit velocity from stored repository snapshots.

Latest capture 2026-06-15 10:50

Star growth, last 7 days
0 0.0%
Commit velocity, last 7 days
0 0.0%
Stars since baseline
0
Snapshot coverage
1

Tracked growth

1 capture since 2026-06-15

Stars from baseline 0

Stars history

Total stars

Commits history

Default branch commits

Detected stack

Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.

Scanned 2026-06-15 10:50

Stack signals
7
Package managers
3
Manifest files
4
Dependencies
157

Frameworks and tools

  • Celery task queue · high confidence
  • FastAPI web framework · high confidence
  • LangChain ai framework · high confidence
  • Next.js web framework · high confidence
  • pytest test framework · high confidence
  • React frontend framework · high confidence
  • Tailwind CSS css framework · high confidence
npm PEP 517 uv javascript python

Dependency files

4 manifests
  • backend/pyproject.toml python ecosystem, 37 dependencies
  • doc/package.json javascript ecosystem, 1 dependency
  • frontend/package.json javascript ecosystem, 66 dependencies
  • sdk/pyproject.toml python ecosystem, 53 dependencies

Classification

Searchable topics, generated tags, and stack labels that explain where this repository fits.

Topics
12
Tags
0
Stacks
7

Topics

#agent #agentic-ai #agentic-framework #agentic-rag #agentic-workflow #ai #harness #harness-engineering #llm #mcp #multi-agent #rag

Generated tags

No generated tags yet.

Stack labels

Celery FastAPI LangChain Next.js pytest React Tailwind CSS

AI development signals

Agent instructions and tool configuration paths found in the repository tree.

41 paths

AI agent config detected

41 config paths 30 files 11 directories
Agent instructions 3 Claude Code 21 Cursor 17

Key config paths

Review config paths

Showing the first 24 paths. 17 more detected.

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