Home/Compare/contexto vs ragflow

Comparison

contexto vs ragflow

Verdict

Pick contexto when contexto is primarily TypeScript; ragflow is Go; pick ragflow when ragflow is primarily Go; contexto is TypeScript.

Markdown twin · contexto alternatives · ragflow alternatives

GraphCanon updated today

contexto logo

contexto

ekailabs/contexto

629pushed Jun 10, 2026
vs
ragflow logo

ragflow

infiniflow/ragflow

85kpushed Jul 11, 2026

Trust & integrity

Signalcontextoragflow
Maintenance
Steady (31d since push)
As of today · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
4 low (4 low)
As of today · osv@v1

Tagline

contexto
Context Engine for your long-running AI agents
ragflow
Retrieval-Augmented Generation engine with agent capabilities

Stars

contexto
629
ragflow
85k

Forks

contexto
23
ragflow
9.9k

Open issues

contexto
21
ragflow
2.3k

Language

contexto
TypeScript
ragflow
Go

Adopt for

contexto
-
ragflow
RAGFlow is a Retrieval-Augmented Generation (RAG) engine that integrates AI agents for enhanced context management in LLM applications, built using Go language and released under the Apache-2.0 license.

Persona

contexto
-
ragflow
-

Runtime

contexto
-
ragflow
-

License

contexto
Apache-2.0
ragflow
Apache-2.0 License

Last pushed

contexto
Jun 10, 2026
ragflow
Jul 11, 2026

Categories

contexto
AI Agents, Data & Retrieval, Evaluation & Observability
ragflow
Data & Retrieval, AI Agents

Trust and health

Maintenance

contexto
Steady (60%)
ragflow
Very active (96%)

Days since push

contexto
31d
ragflow
0d

Open issues (now)

contexto
21
ragflow
2.3k

Security scan

contexto
No lockfile
ragflow
4 low (4 low)

Full report

contexto
Trust report

Choose contexto if…

  • contexto is primarily TypeScript; ragflow is Go.
  • Tags unique to contexto: typescript.
  • Also covers Evaluation & Observability.

When NOT to use contexto

  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
  • Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.

Choose ragflow if…

  • ragflow is primarily Go; contexto is TypeScript.
  • Requirements: Requires Docker; Docker image size is approximately 2 GB; build process requires access to external LLM and embedding services..
  • Tags unique to ragflow: context-management, rag, agentic-ai, retrieval-augmented-generation.
  • - You need an integrated RAG system with AI agent capabilities for better context management in your applications.

When NOT to use ragflow

  • - If you specifically require a non-Golang developed RAG engine, as RAGFlow is built entirely in Go.
  • - Your setup does not support or need Docker (RAGFlow requires building a Docker image that is approximately 2 GB).
  • - You cannot use external LLM services and embedding services, as RAGFlow relies on them to function.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: contexto 629 · ragflow 85k (synced Jul 11, 2026).

Common questions

What is the difference between contexto and ragflow?
contexto: Context Engine for your long-running AI agents. ragflow: Retrieval-Augmented Generation engine with agent capabilities. See the comparison table for live GitHub stats and shared categories.
When should I choose contexto over ragflow?
Choose contexto over ragflow when contexto is primarily TypeScript; ragflow is Go; Tags unique to contexto: typescript; Also covers Evaluation & Observability.
When should I choose ragflow over contexto?
Choose ragflow over contexto when ragflow is primarily Go; contexto is TypeScript; Requirements: Requires Docker; Docker image size is approximately 2 GB; build process requires access to external LLM and embedding services.; Tags unique to ragflow: context-management, rag, agentic-ai, retrieval-augmented-generation; - You need an integrated RAG system with AI agent capabilities for better context management in your applications.
When should I avoid contexto?
AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
When should I avoid ragflow?
- If you specifically require a non-Golang developed RAG engine, as RAGFlow is built entirely in Go. - Your setup does not support or need Docker (RAGFlow requires building a Docker image that is approximately 2 GB). - You cannot use external LLM services and embedding services, as RAGFlow relies on them to function.
Is contexto or ragflow more popular on GitHub?
ragflow has more GitHub stars (84,818 vs 629). Stars measure visibility, not whether either tool fits your constraints.
Are contexto and ragflow open source?
Yes - both are open-source projects on GitHub (contexto: Apache-2.0, ragflow: Apache-2.0).
Where can I find alternatives to contexto or ragflow?
GraphCanon lists graph-backed alternatives at contexto alternatives and ragflow alternatives (contexto markdown twin, ragflow markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, contexto or ragflow?
contexto: Steady. ragflow: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for contexto and ragflow?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: contexto trust report; ragflow trust report.