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.
Latest metrics (snapshot 2026-10-14)
| stars | 5940 |
|---|---|
| forks | 740 |
| issues | 277 |
| pushed_at | 2026-10-14T10:23:12Z |
History
History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.
| Date | GitHub stars |
|---|---|
| 2026-10-14 | 5940 |
ADC Momentum: 46/100
| Growth velocity | 43 |
|---|---|
| Consistency | 35 |
| Recency | 98 |
| Agent demand | 0 |
| Basis | bootstrap |
ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method
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Details
| description | 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. |
|---|---|
| url | https://github.com/ModelEngine-Group/nexent |
| language | Python |
| license | MIT |
| topics | agent agentic-ai agentic-framework agentic-rag agentic-workflow ai harness harness-engineering llm mcp multi-agent rag |
| created_at | 2025-04-28T10:44:33Z |
| homepage | http://modelengine-group.github.io/nexent/ |
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