Cogni vs Ryph
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Cogni compared with Ryph
| Detail | C
Cogni | 
Ryph |
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| What it does | Memory that reasons
| Open-source AI agent orchestration platform for incident response and automation
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| Stage | Not given
| Not given
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| Founded | Not given
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| Based in | US
| Not given
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| Pricing model | Freemium
| Open source
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| Pricing | Free plan at $0 USD; Pro plan at $5 USD per month.
| Not given
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| Key features | - Entity-graph spreading activation for cross-vocabulary retrieval
- Works with any LLM model
- No LLM or GPU in retrieval path
- Point-in-time and windowed recall
- Timestamped memories
- Fixed recall cost as memory grows
| - Incident response with agent investigation and pull request generation
- Automated workflows triggered on schedules or webhooks
- Agent summoning from GitHub, GitLab and Radicle with /ryph command
- Semantic memory system for shared and persistent agent learning
- Credentials kept behind gateways with no access in sandbox
- Customized environments per repository with cached dependencies
- Browser use for agent interactions with live watching
- Artifacts and pages for reports and overviews
- Deployment options from laptop to Kubernetes
- Tool proxy with allowlisted MCP server integrations
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| What makes it different | - Reaches answers across unrelated documents that share no keywords, where vector search scores zero
- Deterministic retrieval with no model in the path, so results never vary between queries
- Constant per-query cost regardless of memory size, even at 32,000 words
- No infrastructure to run—no vector database, cluster, or GPU needed
- Works with any model, so small local models gain the most from better retrieval
| - Agents work without holding real credentials or keys
- Changes ship as patches that require review before merge
- Runs on your own infrastructure from laptop to cloud
- Semantic memory learns across runs with deduplication and contradiction handling
- Built-in safety assuming agents can be manipulated or exploited
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| Free plan | Not given
| Not given
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| Open source | Not given
| Not given
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| Platforms | Not given
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| Public API | Not given
| Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 4 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 2 | 0 |
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| Citation Flow (Majestic) | 21 | 0 |
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| Referring domains (Majestic) | 34 | 0 |
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4 details filled in for both companies.
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