| Dimension | Cognee’s published approach | Capyba’s product emphasis |
|---|---|---|
| Knowledge | Connected company sources and graph-oriented memory. | Reviewed facts, decisions, lessons and task-specific context packs. |
| Agents and tools | Agent-framework integrations, data ingestion and evaluation tools. | Supported adapters, portable packs and scoped MCP access. |
| Evaluation | Published benchmarks and evaluation tooling. | Comparable tests tied to keeping or rejecting a context change. |
| Economics | Memory and retrieval quality as part of the product workflow. | Provider accounting and full cost per accepted task. |
| Source handling | Source permissions and a company graph that changes with the data. | Source-to-pack access, review history and explicit processing routes. |
| Maturity | Public software, documentation and published evaluations. | Launching soon, with a team-reported local result. |
Why evaluate Capyba?
You want to understand whether an outdated instruction, conflicting source or unnecessary context is making a recurring task more expensive. You need a way to review a proposed correction, test it and decide whether to keep it.
Capyba connects these steps across text and code. Governed memory and source connections support it; the result has to be judged on accepted work and its full cost.
Choose for the requirement you have today.
If you need a deployable memory engine today, evaluate available products against that requirement. For shared company knowledge and a connected view of task economics, discuss your recurring workflow with Capyba.
Reviewed sources.
Competitor descriptions summarise vendor material. A feature absent from this comparison is not necessarily absent from the product.
- Company Brain: sources, graph memory and permission claims.
- Integrations documentation: data, agent and evaluation connections.
- Evaluation Results: published benchmark framing.