Agenta records 45,760 monthly visits with +29.5% month-over-month growth and Freemium pricing. Maxim AI records 121,351 monthly visits with +10% growth and Contact for Pricing, Free Open Source pricing.
Open-source workspace for building, evaluating and shipping AI agents
Evaluate, monitor, and govern your AI applications in production
| Dimension / Metric | | |
|---|---|---|
| Official Domain | agenta.ai | getmaxim.ai |
| Pricing Model | Freemium | Contact for Pricing, Free Open Source |
| Monthly Visits | 45.76K (45,760) | 121.35K (121,351) |
| MoM Traffic Delta | +10.41K (+29.5%) | +11.07K (+10%) |
| Primary Market & Share | 🇺🇸 United States (23.1%) | 🇮🇳 India (25.9%) |
| Direct Visits / mo | 17.21K | 38.31K |
| User Rating | 4.4 | 4.3 |
| 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.
Evaluate, monitor, and govern your AI applications in production
Trace, test, and evaluate prompts and agents with datasets, experiments, and structured scoring.
Built-in dashboards and OpenTelemetry support give real-time insight into every AI request in production.
Model simulation and agent testing let you validate behavior before and after deployment.
Bifrost provides a unified, OpenAI-compatible API with routing, fallbacks, budgets, and semantic caching.
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
The collaboration layer for AI engineering teams
The collaboration layer for AI engineering teams
Standardize LLM evaluation, observability, and red teaming across your whole org
Standardize LLM evaluation, observability, and red teaming across your whole org
AI governance, testing, and observability for regulated enterprises
AI governance, testing, and observability for regulated enterprises
