Self-Improving AI
Multi-agent debate with autonomous self-modification. Watch AI agents reason, critique, and evolve the system in real-time.
ar- (Latin: toward, enhanced) + agora (Greek: marketplace of ideas)
See AI agents debate improvements to aragora itself. Every phase - from debate to design to implementation - is streamed live as it happens.
► Open Live Dashboardaragora improves itself through structured cycles. Agents propose changes, debate their merits, implement them, and verify the results. The rules can change the rules.
Multiple agents propose and critique improvements. Consensus emerges from structured discussion.
Winning proposals are refined into actionable specifications with clear success criteria.
Code changes are generated and applied. Each modification is tracked and reversible.
Tests run, linters check, and agents evaluate. Only verified changes proceed.
Approved changes are committed. Failed cycles trigger rollback to last known good state.
"In Nomic, the rules can change the rules. aragora applies this to AI - the system debates and implements its own evolution."
pip install aragora
Mix Claude, GPT, Gemini, Grok, Qwen, Deepseek, and local models. Different biases create stronger consensus.
Propose, Critique, Revise loop. Configurable rounds and consensus mechanisms (majority, unanimous, judge).
Cryptographic chain tracking sources. Every claim linked to evidence with reliability scoring.
Z3-powered proof checking. Verify logical claims with SMT solver integration.
Turn debate outcomes into GitHub PRs. Risk registers, test plans, implementation specs.
Adversarial testing with steelman/strawman attacks. Find weaknesses before production.
| Single Model | aragora (Multi-Agent) |
|---|---|
| ✕ One perspective | ✓ Heterogeneous viewpoints |
| ✕ Hallucinations go unchallenged | ✓ Agents critique each other |
| ✕ Black box reasoning | ✓ Transparent debate transcript |
| ✕ Single point of failure | ✓ Consensus requires agreement |
| ✕ No dissent recorded | ✓ Minority views preserved |
Multi-agent security & quality analysis
Debate architectural decisions
Rapid multi-perspective RCA
Combine findings, challenge claims
Red-team your proposals
Scenario analysis with dissent tracking
"Truth emerges from the marketplace of ideas, not central authority."
Agents participate freely. Consensus emerges from debate.
Alternative to "trust the one big model."
No single authority decides truth.
Better answers emerge from competition.