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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.
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01
At a glance.
A compact read before the deeper capability notes and official setup links.
02
Core features.
Feature cards focus on what the tool helps users do, not generated setup commands.
Nexent is a zero-code platform for auto-generating production-grade AI agents, built on Harness Engineering principles.
Nexent provides a comprehensive feature set for building powerful AI agents:
⚙️ Multi-Model Integration OpenAI-compatible with any provider, full LLM/Embedding/VLM/STT/TTS coverage, supports domestic model switching
🤝 A2A Agent Collaboration Agent-to-Agent protocol enables seamless multi-agent cooperation and distributed workflows
🧠 Layered Memory Mechanism Two-tier memory (user-level + user-agent-level) for persistent context across conversations
📝 Progressive Skill Disclosure Dynamically loads Skill into context, maximizing context window efficiency
🔧 MCP Tool Ecosystem Plug-and-play extension system with custom development and third-party MCP service support
🌐 Internet Knowledge Integration Multi-source search blending real-time information with private data
04
Agent / Skill / MCP / Workflow fit.
This panel keeps technical format separate from the user-facing AI category.
05
Official setup path.
Generated install snippets are intentionally not mirrored here because they drift. The page links to source-owned setup docs instead.
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Evidence and adoption notes.
These notes help a user decide whether to investigate the official project further.
Source repository last pushed at 2026-05-18T02:54:55Z.
Generated from source metadata; confirm operational details in the official project before adopting it.
Review the upstream license, maintenance activity, and issue history before using it in production.
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