THE COMPARISON / A CLOSER LOOK
AG2 vs Rivet
Compare the listed plans, useful capabilities, and practical tradeoffs.
Prices and features reflect editorial records. Check vendor terms before you buy; documentary checks do not imply hands-on testing.
AG2
🔴DeveloperAI Agent Frameworks
AG2 is an open-source, Python-native framework for building multi-agent systems with collaboration, state, human approvals, MCP and A2A interoperability.
SOURCE-CHECK COVERAGE
No scoped source-check record shown. Check current pricing and vendor terms before buying.
Starting Price
FreeRivet
🔴DeveloperAI Agent Frameworks
Rivet is an open-source visual programming environment for building AI agents with LLMs, created and maintained by Ironclad.
SOURCE-CHECK COVERAGE
No scoped source-check record shown. Check current pricing and vendor terms before buying.
Starting Price
FreeFeature Comparison
Focus the table and use arrow keys to scroll when columns extend beyond the screen.
AG2 - Pros & Cons
Pros
- ✓The core Python framework is free, open source and compatible with multiple model providers
- ✓AgentOS is designed to coordinate agents from several frameworks instead of forcing one stack
- ✓Human approvals, shared state and auditability address real production workflow needs
- ✓MCP and A2A support provide standards-based integration options
Cons
- ✗AG2 publishes no numerical pricing for Space, AgentOS, managed hosting or enterprise support
- ✗Multi-agent conversations can add latency, token cost and failure modes compared with one agent or deterministic code
- ✗The Python-first framework requires software engineering and operational expertise
- ✗Vendor-reported productivity results are not enough to predict performance on a buyer's own workload
Rivet - Pros & Cons
Pros
- ✓Visual + code hybrid — design in the editor, ship the same graph inside a real Node.js app
- ✓Remote debugger is genuinely unique; watching a production graph execute step-by-step is a massive win when troubleshooting agent behavior
- ✓YAML-first storage means Git-native version control and normal PR review workflows
- ✓MIT-licensed, no hosted-service lock-in, no credit meter
- ✓TypeScript type safety extends into graph input/output contracts
- ✓Actively maintained by Ironclad's engineering team with production-grade usage
Cons
- ✗TypeScript/Node-only — no Python runtime, which excludes most ML-shaped teams
- ✗No hosted execution or SaaS tier — you deploy and monitor the runtime yourself
- ✗Smaller community and plugin ecosystem than LangChain/LangGraph
- ✗Documentation is thinner than the largest agent frameworks; some patterns you'll figure out by reading source
- ✗Not a fit for teams that want a fully no-code experience — you'll still write TypeScript to embed and deploy
- ✗No built-in evals or agent tracing beyond the live debugger (integrations exist via plugins)
Not sure which to pick?
🎯 Take our quiz →🔒 Security & Compliance Comparison
Focus the table and use arrow keys to scroll when columns extend beyond the screen.
Price Alert Interest
Record the tools you want pricing updates for