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camelAI vs RELAI

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

camelAI compared with RELAI
DetailcamelAI logo camelAIRELAI logo RELAI
What it doesOpen-source home for AI agents The continual learning engine for AI agents
StageStartup Not given
Founded2022 Not given
Based inNot given Not given
Pricing modelFreemium Freemium
PricingcamelBot: free to start, no credit card required, credit packs from $4.99. camelRun: $0.01 per agent-hour of active run time, $0.10 per GB-month for storage, tokens free on your own provider keys or at provider's price on camelAI's keys with no markup. camelCode: free plan with your own model API ke RELAI Free: $0. RELAI Enterprise: Custom pricing.
Key features
  • Define agent model, instructions, tools and channels
  • Open-source AI agent runtime with Docker and Postgres self-hosting
  • AI agent history and file storage
  • Connect tools with OpenAPI, MCP, or custom code
  • Deploy to Slack, Discord, Telegram, GitHub, or custom apps
  • Sandboxed code execution for agents
  • Support for multiple AI models from Anthropic, OpenAI, OpenRouter, Amazon Bedrock
  • Custom Discord bot building with testing before publishing
  • Capture signals from code, requirements, and production traces
  • Build and maintain EvalsWiki as versioned behavioral knowledge
  • Find missing eval coverage and unclear expectations
  • Generate complete evals with scenarios, environments, and evaluators
  • Optimize harness across prompts, tools, workflows, and code
  • Multi-objective optimization for quality, cost, latency, and KPIs
  • Model selection, migration, and routing with evaluation
  • Regression-controlled improvement with evaluation evidence
  • Versioned storage in repository with pull requests
What makes it different
  • Thousands of agents at once without talking to sales
  • Open source agent runtime available for self-hosting
  • Agents survive crashes and deploys without losing history or pending work
  • Turns failures into replayable learning environments
  • Prevents regressions by keeping previous evals in the loop
  • Integrates with existing observability stacks and traces
  • Preserves business intelligence versioned in repository
  • Adapts harness to model changes without redefining use cases
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)58 +1 (up) since last check23 no change since last check
Trust Flow (Majestic)913
Citation Flow (Majestic)3625
Referring domains (Majestic)34379

5 details filled in for both companies.

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