AgentIndex icon
AgentIndex
OnCo logo
OnCo
★ 237
vs
dense-mem logo
dense-mem
★ 39

OnCo vs dense-mem

OnCo: OnCo is an open, cited knowledge graph dedicated to cancer, aiming for total information dominance across all aspects of the disease. It provides a comprehensive repository of data, research, treatments, and patient information accessible via a website, static JSON API, and command-line tools.; dense-mem: Dense-Mem is a self-hosted, durable memory layer for AI agents designed to preserve evidence, detect conflicts, and prevent silent rewriting of facts. It provides typed claims, verification gates, server-side embeddings, and structured recall, enabling host LLMs to focus on conversation and judgment while Dense-Mem manages memory state.

01

TL;DR

OnCo logo
OnCoRAG / Knowledge Base · ★ 237

Patients and Carers: Access plain-English information on cancers, treatments, side effects, and evidence-graded complementary approaches.

Read OnCo full review →
dense-mem logo
dense-memMemory & Context · ★ 39

Providing durable and verifiable memory for AI agents in complex tasks.

Read dense-mem full review →
02

Side-by-Side Comparison

Field
OnCo logoOnCo
dense-mem logodense-mem
Category
RAG / Knowledge Base
Memory & Context
Stars
★ 237
★ 39
License
MIT
Apache-2.0
Install Command
npx onco
mkdir dense-mem-local && cd dense-mem-local && curl -fsSLo docker-compose.yml https://raw.githubusercontent.com/markhuangai/dense-mem/main/examples/docker-compose.base.yml && curl -fsSLo .env.example https://raw.githubusercontent.com/markhuangai/dense-mem/main/examples/.env.example && cp .env.example .env && docker compose up -d
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Oncology, Knowledge Graph, Cancer Research
AI Memory, Knowledge Graph, Conflict Detection
03

Features

OnCo logoOnCo
01Interactive Website Interface: Offers filters, tooltips, molecule renderings, a graph explorer, and an 'Ask OnCo' question answering system.
02Static JSON API: Provides programmatic access to the corpus with CORS, Markdown context files for language models, Atom feeds, and RDF triples.
03Command-Line Tool (CLI) and MCP Server: Enables agents and scripts to search, fetch, compare, and query the cancer corpus directly.
04Multi-language Support: Offers eight interface languages with translated TL;DRs to enhance accessibility for a global audience.
dense-mem logodense-mem
01First-class evidence provenance, tracing memories from source fragments to facts.
02Facts pass through typed claims, verification, and promotion gates.
03Explicit conflict detection where comparable conflicts return clarification tasks, preventing silent overwrites.
04Clear responsibility boundary: host LLM judges, Dense-Mem manages durable state, gates, and audit metadata.
05Self-hosted with operator control over storage, team isolation, API keys, and data egress boundaries.
04

Use Cases

OnCo logoOnCo
↳Patients and Carers: Access plain-English information on cancers, treatments, side effects, and evidence-graded complementary approaches.
↳Clinicians and Researchers: Explore the state of the art, history, ongoing research, and bottlenecks in cancer, with direct links to primary sources.
↳AI Agents and Scripts: Programmatically search, fetch, compare, and query the knowledge graph for data integration, analysis, and LLM context.
↳Investors and Policymakers: Understand market landscapes, treatment approvals by region, funding, and the overall progress in oncology.
dense-mem logodense-mem
↳Providing durable and verifiable memory for AI agents in complex tasks.
↳Building enterprise AI systems that require strong data governance, auditability, and trusted knowledge.
↳Resolving conflicting information in AI knowledge bases through user clarification and structured processes.
↳Enhancing AI agent reliability and explainability by preserving evidence and preventing silent fact rewriting.
05

Best For

OnCo logoOnCo
Hidden Gem
dense-mem logodense-mem
—
FAQ

FAQ

What is the difference between OnCo and dense-mem?
Both OnCo and dense-mem are in the RAG / Knowledge Base category. OnCo has 237 stars, while dense-mem has 39 stars.
Which is better, OnCo or dense-mem?
The best choice depends on your use case. Choose OnCo if Patients and Carers: Access plain-English information on cancers, treatments, side effects, and evidence-graded complementary approaches., and dense-mem if Providing durable and verifiable memory for AI agents in complex tasks..
Is OnCo free or open source?
Yes, OnCo is open source on GitHub (MIT).
Is dense-mem free or open source?
Yes, dense-mem is open source on GitHub (Apache-2.0).
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Related

Alternatives to OnCo →Alternatives to dense-mem →OnCo details →dense-mem details →