better-agents
Better Agents is a CLI tool and standards framework for building AI agents across multiple frameworks (Agno, Mastra, LangGraph, etc.). It provides project scaffolding, prompt versioning, scenario-based testing, and evaluation notebooks to accelerate agent development with coding assistants.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | langwatch/better-agents |
| Owner | langwatch |
| Primary language | TypeScript |
| License | MIT — OSI-approved |
| Stars | 1.5k |
| Forks | 154 |
| Open issues | 15 |
| Latest release | v0.1.23 (2026-02-22) |
| Last updated | 2026-06-03 |
| Source | https://github.com/langwatch/better-agents |
What better-agents is
TypeScript-based CLI that generates standardized agent project structures with integrated testing infrastructure (Scenario tests for behavior validation, Jupyter notebooks for evaluations), prompt management via YAML with version control, MCP configuration for coding assistants, and LangWatch observability hooks.
Get the better-agents source
Clone the repository and explore it locally.
git clone https://github.com/langwatch/better-agents.gitcd better-agents# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Requires Node.js 22+; verify target environment supports this version before adoption.
- Mandatory setup flow includes selecting framework, coding assistant, and LLM provider; ensure team standardizes choices before widespread rollout.
- LangWatch API key is required for prompt management and observability features; factor in account creation and authentication workflow.
- Telemetry is enabled by default (opt-out via BETTER_AGENTS_TELEMETRY=0); review org's data practices and inform teams.
- Scenario tests and evaluation notebooks introduce new testing paradigms; training and documentation review needed for consistent adoption.
When to avoid it — and what to weigh
- Requires Non-Node.js Agent Runtime — The CLI is Node.js-based and strongly assumes TypeScript/JavaScript agents. Projects needing pure Python or Go agents may find the scaffolding and MCP setup misaligned with their stack.
- No LangWatch Integration Needed — The framework is heavily integrated with LangWatch for observability and prompt management. Teams already using competing observability platforms or internal prompt stores may see friction and lock-in concerns.
- Strict Independence from Third-Party Platforms — Setup requires API keys from LangWatch and external LLM providers. Organizations with airgapped environments or policies against external SaaS integrations should avoid this scaffolding approach.
- Existing Mature Agent Codebases — Projects with established agent architectures and testing patterns may find retrofitting the Better Agents structure costly; the tool is optimized for greenfield projects, not legacy refactoring.
License & commercial use
MIT License (permissive OSI license). Allows commercial use, modification, and distribution with minimal restrictions; only requires retention of copyright and license notice.
MIT license permits commercial use without explicit restriction. However, the tool's integration with external platforms (LangWatch, LLM providers) introduces dependency considerations. Users should review LangWatch's terms of service for production use and clarify any data-use clauses. No special commercial license or support agreement is bundled in the repo.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Strong |
| License clarity | Clear |
| Deployment complexity | Low |
| DEV.co fit | Good |
| Assessment confidence | High |
Security posture not detailed in provided data. Considerations: (1) LangWatch API key and LLM provider credentials must be secured via .env; telemetry opt-out is available but enabled by default. (2) MCP configuration exposes coding assistant integrations; review MCP scope and permissions. (3) Prompt versioning in version control should avoid hardcoding secrets. (4) No mention of input validation, rate limiting, or prompt injection safeguards in the README. Teams should conduct security review before production use and enforce credential rotation policies.
Alternatives to consider
LangChain Hub + LangServe
Offers prompt versioning and deployment tooling but less opinionated structure; requires more manual scaffolding and testing setup. Better Agents provides more standardized templates.
Mastra (native)
If standardizing on Mastra framework only, using Mastra's own templates may reduce external dependencies. Better Agents trades Mastra-only focus for multi-framework flexibility.
Prompt Flow (Azure/Microsoft)
Enterprise-grade orchestration with built-in evaluation and monitoring, but tightly coupled to Azure ecosystem. Better Agents is more framework-agnostic and CLI-driven for local dev.
Build on better-agents with DEV.co software developers
Use Better Agents to scaffold production-ready AI agent projects with integrated testing, prompt management, and observability—in minutes. Start with npm install -g @langwatch/better-agents or npx @langwatch/better-agents init my-agent-project. Review LangWatch integration and team workflow requirements before rollout.
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better-agents FAQ
Does Better Agents lock us into LangWatch?
Can we use Better Agents with pure Python agents?
What if we already have agent projects underway?
How often is Better Agents updated?
Custom software development services
DEV.co helps companies turn open-source tools like better-agents into production software. Our software development services cover the full lifecycle — architecture, web development, integration, and maintenance — delivered by software developers and web developers who ship. Engage our software development agency to implement or customize it for your ai frameworks stack.
Standardize Your Agent Development Today
Use Better Agents to scaffold production-ready AI agent projects with integrated testing, prompt management, and observability—in minutes. Start with npm install -g @langwatch/better-agents or npx @langwatch/better-agents init my-agent-project. Review LangWatch integration and team workflow requirements before rollout.