Continua vs Hermes Agent
Self-improving agent vs evidence reasoning system
Hermes is a self-improving, provider-agnostic autonomous agent with strong tooling and persistent context. Continua shares several architectural ideas but is purpose-built around exhaustive evidence processing and decision intelligence.
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Capability matrix
| Capability | Continua | Hermes Agent |
|---|---|---|
| TB-level ontology processing | ✅ Core | ◐ Can build workflows/tools; not a native product promise |
| Up to 1B-token working context | ✅ | ❌ Model/architecture dependent |
| 100% page / corpus coverage | ✅ Core promise | ❌ No equivalent guarantee |
| Web research | ✅ | ✅ |
| Entity linking / state reconstruction | ✅ | ◐ Implementable |
| Contradictions / missing information | ✅ | ◐ Workflow-dependent |
| Whitebox execution / steering | ✅ | ✅ Strong |
| Multiple LLM vendors | ✅ | ✅ Major strength |
| Self-improving skills | ✅ | ✅ Core strength |
| RSI / evolution strategies | ✅ | ◐ Public claims focus on skill learning |
| Persistent Projects / working context | ✅ | ✅ |
| Data rooms | ✅ | ◐ Build/integrate |
| Translation | ✅ | ✅ Model/tool dependent |
| Deal Q&A | ✅ | ◐ Buildable |
| Sharing + permissions | ✅ | ◐ Integration dependent |
| Viewer analytics | ✅ | ◐ Integration dependent |
| BI / dashboards / visualization | ✅ | ◐ Buildable, not a native BI suite |
| Zero data retention | ✅ | ◐ Deployment/provider dependent |
Where Continua is stronger
- Purpose-built TB-level evidence ontology processing.
- 1B-token effective working context and explicit complete-corpus coverage.
- Native entity linking, policy, context and state reconstruction.
- Evidence lineage and high-stakes decision auditability.
- Integrated Projects, data rooms, viewer analytics and BI around the evidence.
- Zero-retention investigation mode.
- Systematic self-improvement driven by large-scale data processing, grounded in TB-level corpus processing rather than reusable agent skills alone.
Where Hermes is stronger
- Broad autonomous tool and computer execution.
- Provider-agnostic model routing.
- Open and extensible agent architecture.
- Persistent working context as a general-agent capability.
Why Continua is different
Process ontology from TB-level big data
Continua is designed to process TB-level heterogeneous data into a structured ontology of entities, relationships, policies, rules, constraints, context, states, claims, contradictions, gaps, timelines and causal relationships.
Up to a 1B-token working context
Continua can reason over an effective working context of up to 1 billion tokens, enabling investigations across corpora that exceed the native context of a single frontier model.
Full-context coverage
Continua is designed around 100% page / corpus coverage for investigations where one buried clause, addendum, event, requirement or contradiction can change the outcome.
Whitebox reasoning and steering
Users can steer what the investigation looks for, how evidence is compared, what criteria matter and how conclusions are composed.
Projects, data rooms and analytics
Continua can support persistent Projects, data rooms, sharing, permissions, viewer analytics, translation, deal Q&A, BI, dashboards and data visualization.
Multi-model self-improvement
Continua can orchestrate multiple LLM vendors and evolve investigation skills through self-improvement, RSI and evolution strategies.
Hermes is a self-improving agent that can do many things. Continua is a self-improving evidence system designed to know what the complete record actually supports.
Best-fit use cases
Frequently asked questions
Does Continua support web research?
Yes. Continua supports web source discovery and web research in addition to private-data analysis.
Does Continua support persistent Projects and data rooms?
Yes. Continua can support persistent Projects and data rooms, with sharing, permissions, viewer analytics, translation and deal Q&A.
Can Continua build dashboards?
Yes. Continua can support BI, dashboards and data visualization alongside document, structured-data and web evidence.
Does Continua always retain uploaded data?
No. Continua supports a zero-data-retention mode for sensitive investigations; persistence can be enabled intentionally for Projects and data-room workflows.
Make the complete evidence set computable
Process the files, web sources, structured data, policies, relationships and states — not just the passages a retrieval layer thinks are relevant.
Start with ContinuaRun Your First Investigation Free
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