langwatch/better-agents
Standards for building agents, better
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
No releases in the last 90 days; the most recent was 253 days ago, with 11 contributors on GitHub.
Gained 80% fewer stars in the last 90 days than in the 90 days before.
Use Cases & Benefits
- Provides a CLI tool and standards for building AI agents with best practices and structured project setup.
- Ensures production-ready agents through standardized structure, versioned prompts, scenario testing, and full observability.
- Use for initializing new AI agent projects with guided setup for language, framework, and LLM provider integration.
- Use for maintaining and testing agent behavior with scenario tests and evaluation notebooks to ensure reliability.
- Use for collaborative prompt management with version control and integration into coding assistants like Kilocode or Claude Code.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
- Contributing guide: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
Better Agents is a CLI tool and a set of standards for agent building.
It supercharges your coding assistant (Kilocode, Claude Code, Cursor, etc), making it an expert in any agent framework you choose (Agno, Mastra, LangGraph etc) and all their best practices.
It's the best way to start any new agent project.
The structure and guidelines on
AGENTS.mdensure every new feature required for the coding assistant is properly tested, evaluated, and that the prompts are versioned.The
.mcp.jsoncomes with all the right MCPs set up so you coding assistant becomes an expert in your framework of choice and in writing Scenario tests for your agent.
scenarios/tests guarantee the agent behaves as expected, which simulates a conversation with the agent making sure it does what expected.
evaluations/notebooks holds dataset and notebooks for evaluating pieces of your agent pipeline such as a RAG or classification tasks it must doFinally,
prompts/hold all your versioned prompts in yaml format, synced and controlled byprompts.json, to allow for playground and team collaboration.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
148-3
Open issues
16+1
Compared with peers in AI Agents
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| vercel-labs/agent-desktop | 17.0K | +13.3K | 33 | today |
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| stablyai/orca | 116.8K | +6.6K | 40 | today |
| milind-soni/OpenMausBot | 13.5K | +6.0K | 45 | today |
| HKUDS/DeepTutor | 55.5K | +5.5K | 65 | 5 days ago |
| langwatch/better-agents | 1.6K | — | 23 | 253 days ago |
| Category median | 55.5K | +6.6K | 40 | — |
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