Agenta records 45,760 monthly visits with +29.5% month-over-month growth and Freemium pricing. PromptLayer records 85,899 monthly visits with -4.6% growth and Free Trial, Contact for Pricing pricing.
Open-source workspace for building, evaluating and shipping AI agents
The collaboration layer for AI engineering teams
| Dimension / Metric | | |
|---|---|---|
| Official Domain | agenta.ai | promptlayer.com |
| Pricing Model | Freemium | Free Trial, Contact for Pricing |
| Monthly Visits | 45.76K (45,760) | 85.9K (85,899) |
| MoM Traffic Delta | +10.41K (+29.5%) | -4.18K (-4.6%) |
| Primary Market & Share | 🇺🇸 United States (23.1%) | 🇺🇸 United States (10.9%) |
| Direct Visits / mo | 17.21K | 14.09K |
| User Rating | 4.4 | 4.5 |
| Supported Platforms | Website | Website |
Open-source workspace for building, evaluating and shipping AI agents
Assemble agents from templates or from scratch, give them models, skills and tools, and run them from a chat UI, Slack or Telegram.
Wire agents into Notion, GitHub, HubSpot, Slack, Linear, Drive and more over MCP, and swap tools or skills without rewriting the agent.
Score agent outputs, collect feedback and inspect every run with duration, token usage and cost logging so improvements are measurable.
Decide which actions run unattended and which require approval, while credentials stay in a vault your agent can use but cannot read.
The collaboration layer for AI engineering teams
Edit, version, diff and roll back prompts from a visual dashboard with no coding, so product, marketing and content teams can iterate on prompts while engineers keep control of the deploy.
Run dataset-backed tests with human and AI graders, trigger regression evals whenever a prompt changes, backtest new versions against historical data and compare prompts across models.
Connect production traces to the exact prompt version that produced them and inspect failures, cost, latency and token usage by feature, model or user.
Build, trace and improve agent workflows with prompts, tool calls, evaluations and logs in one place, so multi-step runs can be tested before they ship.
Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceRun many coding agents in parallel, each in its own worktree
Free / Open-sourceRun many coding agents in parallel, each in its own worktree
Free / Open-sourceBuild, deploy, and govern production-ready agentic AI workflows
Free / Open-sourceBuild, deploy, and govern production-ready agentic AI workflows
Free / Open-sourcePut always-on AI agents on your team chat
Track, evaluate, and ship AI models and agents in one connected environment.
Track, evaluate, and ship AI models and agents in one connected environment.
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceOpen-source workspace to build, deploy and govern AI agents
Free / Open-sourceSelf-driving agent platform you run in your own cloud
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Standardize LLM evaluation, observability, and red teaming across your whole org
Standardize LLM evaluation, observability, and red teaming across your whole org
A multiplayer control plane for AI coding agents
A multiplayer control plane for AI coding agents
