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nexent-backend

@modelengine-group⭐ 6.1k stars

Use when designing, implementing, debugging, or reviewing Nexent relational schemas, FastAPI endpoints, backend services, database access, SQL migrations, or backend/SDK configuration. Includes table/field naming, types, JSONB boundaries, audit fields, keys, and indexes even before code paths exist. Skip frontend-only work and unrelated SDK algorithms.

Choose how to use this skill

You do not need every option. Choose the path your AI client supports. The stable page stays the same; versioned files are immutable.

1. Native installer

This listing has no registered native installer command. Use the complete package or source fallback below, depending on what your client supports.

Do not guess an installer command or replace an existing version without reviewing the diff.

2. Complete package recommended

Download the ZIP when available. It includes SKILL.md plus the references, security notes and version metadata.

No complete ProSkills package is published for this listing yet.

3. Prompt-only

Copy the prompt above when the agent can read the stable page or when you want to adopt the workflow without installing a skill.

Need only the instruction file?

Download SKILL.md only if your client requires a single file. The complete ZIP is safer for a full installation because it preserves the references and release context.

No path installs or executes anything by itself. Your agent still needs access to the project files. Before updating, compare the installed version and review the diff.

—/10

// RATINGS

⭐GitHub Stars
⭐⭐⭐⭐⭐ 6.1k on GitHubGitHub ↗

Very popular

🟢ProSkills Score
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📍

Not yet listed on ClawHub or SkillsMP

// README

Nexent Banner

Website English 中文 Documentation Docker Pulls Codecov (with branch)

Nexent is a zero-code platform for auto-generating production-grade AI agents, built on Harness Engineering principles. It provides unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes — no orchestration, no complex drag-and-drop required, using pure language to develop any agent you want.

One prompt. Endless reach.

🚀 Get Started Now

⭐ Before you get started, please star us on GitHub — your support drives us forward!

Deploy on Your Own

If you need to run Nexent locally or in your private infrastructure, we offer two deployment options:

System Requirements

ResourceDockerKubernetes
CPU4 cores (min) / 8 cores (rec.)4 cores (min) / 8 cores (rec.)
Memory8 GiB (min) / 16 GiB (rec.)16 GiB (min) / 64 GiB (rec.)
Disk40 GiB (min) / 100 GiB (rec.)100 GiB (min) / 200 GiB (rec.)
Architecturex86_64 / ARM64x86_64 / ARM64
SoftwareDocker 24+, Docker Compose v2+Kubernetes 1.24+, Helm 3+

Note: Recommended configurations ensure optimal performance in production environments.

Docker Deployment (Recommended for Individuals/Small Teams)

Quick and straightforward for most users. Prerequisites: Docker 24+ and Docker Compose v2+:

git clone https://github.com/ModelEngine-Group/nexent.git
cd nexent
bash deploy.sh docker

The root deploy.sh only forwards to the target deploy script; the native Docker implementation is bash deploy/docker/deploy.sh. The Docker and Kubernetes deploy scripts share the same deployment configuration model. Interactive runs show Bash TUI menus for component selection, port policy, and image source. infrastructure is required; application and data-process are selected by default and can be disabled when you want a smaller deployment. Use b/Backspace to return to the previous TUI step and q to quit. Use --defaults to skip the TUI and deploy with saved deploy.options or built-in defaults. Non-interactive runs can also pass the same choices with --version, --components, --port-policy development|production, and --image-source general|mainland|local-latest. Successful deployments save non-sensitive choices to each deploy directory's deploy.options for reuse on the next run.

Docker and Kubernetes both use deploy/env/.env as the runtime configuration file. Existing deploy/env/.env is kept as-is. If it does not exist, the deploy scripts first reuse docker/.env, then fall back to deploy/env/.env.example. Monitoring-specific settings are generated from deploy/env/monitoring.env.example into deploy/env/monitoring.env.

Docker uninstall is handled by bash uninstall.sh docker. It can preserve or delete data volumes: run it interactively, pass --delete-volumes true|false, or use bash uninstall.sh docker delete-all to remove containers and persistent data.

Offline image packages can be built with bash build.sh --package --target docker --compress true or bash deploy/offline/build_offline_package.sh --target docker --compress true. The package includes image tar files, load-images.sh, push-images.sh, root deploy/uninstall entrypoints, deployment scripts, SQL files, manifest.yaml, and checksums.txt. Package deploys use saved deploy.options or built-in defaults without opening the TUI; add --config to configure interactively. Deploy with bash deploy.sh --load-images docker ... on the target host, or use bash deploy.sh --push-images --image-registry-prefix registry.example.com/nexent docker ... to push loaded images to an internal registry and deploy with that image prefix. When --push-images is used without a prefix, deploy.sh asks for it before push-images.sh prompts for the registry username and password.

For detailed deployment instructions, see Docker Installation.

Kubernetes Deployment (For Enterprise Production)

Ideal for enterprise scenarios requiring high availability and elastic scaling. Prerequisites: Kubernetes 1.24+ and Helm 3+:

git clone https://github.com/ModelEngine-Group/nexent.git
cd nexent
bash deploy.sh k8s

The native Kubernetes implementation is bash deploy/k8s/deploy.sh. It installs two independent Helm releases: nexent-infrastructure for Elasticsearch, PostgreSQL, Redis, and MinIO, then nexent for application services after infrastructure and the Elasticsearch API key are ready. Use --release-scope all|infrastructure|nexent to operate both releases or either side independently. The script reads deploy/env/.env and renders explicit Helm ConfigMap and Secret overrides. Use --persistence-mode local|dynamic|existing, --storage-class/--sc, --local-path, --local-node-name, and --existing-claim-prefix to control PVC behavior.

Kubernetes uninstall is handled by bash uninstall.sh k8s. By default it removes nexent first and nexent-infrastructure second. The same --release-scope option supports application-only removal and dependency-protected infrastructure removal.

Kubernetes offline packages use the same builder with --target k8s or --target all. Run load-images.sh on every cluster node that needs the images, or use --push-images --image-registry-prefix registry.example.com/nexent to push the images to an internal registry before deploying with the same version, image source, and image registry prefix.

For detailed deployment instructions, see Kubernetes Installation.

✨ Core Features

Nexent provides a comprehensive feature set for building powerful AI agents:

FeatureDescription
⚙️ Multi-Model IntegrationOpenAI-compatible with any provider, full LLM/Embedding/VLM/STT/TTS coverage, supports domestic model switching
🤖 Zero-Code Agent GenerationDescribe requirements in natural language, generate executable agents instantly, what you think is what you get
🤝 A2A Agent CollaborationAgent-to-Agent protocol enables seamless multi-agent cooperation and distributed workflows
🧠 Layered Memory MechanismTwo-tier memory (user-level + user-agent-level) for persistent context across conversations
📝 Progressive Skill DisclosureDynamically loads Skill into context, maximizing context window efficiency
🗄️ Personal-Grade Knowledge BaseReal-time import and intelligent retrieval for 20+ document formats, auto summaries, fine-grained access control
🔧 MCP Tool EcosystemPlug-and-play extension system with custom development and third-party MCP service support
🌐 Internet Knowledge IntegrationMulti-source search blending rea

// HOW IT'S BUILT

KEY FILES

.agents/skills/nexent-backend/SKILL.mdREADME.md

// REPO STATS

6.1k stars