Comparisons / CrewAI
BayesCore vs CrewAI
CrewAI coordinates multiple agents working as a team. The problem: agents trust each other's outputs blindly. One hallucination propagates through the whole crew. BayesCore verifies every step before the next agent acts — confidence gates, not just coordination.
| Feature | BayesCore | CrewAI |
|---|---|---|
| Uncertainty handling | First-class — pipeline pauses when any agent's confidence is insufficient | None — agents pass outputs to each other regardless of confidence |
| Inter-agent trust | Verified — each step's output is evaluated before the next agent receives it | Blind — agents accept each other's outputs as ground truth |
| Belief state | Beta-Bernoulli per agent, updated across runs | No uncertainty model — agents are stateless |
| Confidence gate | PROCEED / CLARIFY / ESCALATE at configurable threshold | No gate — crew executes the full task plan |
| Loop detection | Built-in — aborts on repeated agent/input fingerprints | Manual — developer must prevent infinite loops |
| MCP tool connections | Yes — any MCP server, tools auto-register in pipelines | Yes — tool ecosystem, no confidence gate on use |
| Interface | Desktop app, no code required | Python SDK — developer-only |
| Audit trail | Per-step trace with gate decision and confidence at runtime | Task logs — no structured confidence trace |
| Works offline | Yes — bundled Phi-3 Mini | Requires LLM API calls |
| Primary user | Knowledge workers running real tasks | Python developers orchestrating AI workflows |
| Pricing | Free web tool / $149 one-time | Open source / CrewAI Enterprise |