Comparison
contexto vs graphify
Verdict
Pick contexto when contexto is primarily TypeScript; graphify is Python; pick graphify when graphify is primarily Python; contexto is TypeScript.
Markdown twin · contexto alternatives · graphify alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | contexto | graphify |
|---|---|---|
| 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 | No lockfile As of today · none |
Tagline
- contexto
- Context Engine for your long-running AI agents
- graphify
- Turn any code or documentation into a queryable knowledge graph
Stars
- contexto
- 629
- graphify
- 82k
Forks
- contexto
- 23
- graphify
- 8.1k
Open issues
- contexto
- 21
- graphify
- 452
Language
- contexto
- TypeScript
- graphify
- Python
Adopt for
- contexto
- -
- graphify
- Graphify transforms a variety of inputs into a unified knowledge graph, ideal for creating searchable insights from mixed content types.
Persona
- contexto
- -
- graphify
- -
Runtime
- contexto
- -
- graphify
- -
License
- contexto
- Apache-2.0
- graphify
- MIT
Last pushed
- contexto
- Jun 10, 2026
- graphify
- Jul 11, 2026
Categories
- contexto
- AI Agents, Data & Retrieval, Evaluation & Observability
- graphify
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- contexto
- Steady (60%)
- graphify
- Very active (96%)
Days since push
- contexto
- 31d
- graphify
- 0d
Open issues (now)
- contexto
- 21
- graphify
- 452
Full report
- contexto
- Trust report
- graphify
- Trust report
Choose contexto if…
- contexto is primarily TypeScript; graphify is Python.
- License: contexto is Apache-2.0, graphify is MIT.
- Tags unique to contexto: typescript.
- Also covers Evaluation & Observability.
- contexto ships Docker support for self-hosted deployment.
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 graphify if…
- graphify is primarily Python; contexto is TypeScript.
- License: graphify is MIT, contexto is Apache-2.0.
- Requirements: Ensure to install from the correct PyPI package named `graphifyy` (with double 'y') and not other similar-named packages which are unaffiliated.; Installation involves setting up a Python environment ('venv') and ensuring all required extras are installed..
- Tags unique to graphify: gemini, rag, codex, skills.
- When you need to turn diverse file types (code, SQL schemas, documents, images) into a single queryable data structure that can be searched and analyzed together.
When NOT to use graphify
- If the project exclusively involves text-based content without requiring integration or querying across different file types (e.g., plain documents with no need for cross-referencing).
- Avoid using Graphify if you are looking for a tool that focuses solely on visual graph representation without the depth of semantic querying capabilities.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ekailabs/contexto) · observed Jul 11, 2026
- GitHub forks (ekailabs/contexto) · observed Jul 11, 2026
- Last push (ekailabs/contexto) · observed Jun 10, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Graphify-Labs/graphify) · observed Jul 11, 2026
- GitHub forks (Graphify-Labs/graphify) · observed Jul 11, 2026
- Last push (Graphify-Labs/graphify) · observed Jul 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: contexto 629 · graphify 82k (synced Jul 11, 2026).
Common questions
- What is the difference between contexto and graphify?
- contexto: Context Engine for your long-running AI agents. graphify: Turn any code or documentation into a queryable knowledge graph. See the comparison table for live GitHub stats and shared categories.
- When should I choose contexto over graphify?
- Choose contexto over graphify when contexto is primarily TypeScript; graphify is Python; License: contexto is Apache-2.0, graphify is MIT; Tags unique to contexto: typescript; Also covers Evaluation & Observability; contexto ships Docker support for self-hosted deployment.
- When should I choose graphify over contexto?
- Choose graphify over contexto when graphify is primarily Python; contexto is TypeScript; License: graphify is MIT, contexto is Apache-2.0; Requirements: Ensure to install from the correct PyPI package named
graphifyy(with double 'y') and not other similar-named packages which are unaffiliated.; Installation involves setting up a Python environment ('venv') and ensuring all required extras are installed.; Tags unique to graphify: gemini, rag, codex, skills; When you need to turn diverse file types (code, SQL schemas, documents, images) into a single queryable data structure that can be searched and analyzed together. - 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 graphify?
- If the project exclusively involves text-based content without requiring integration or querying across different file types (e.g., plain documents with no need for cross-referencing). Avoid using Graphify if you are looking for a tool that focuses solely on visual graph representation without the depth of semantic querying capabilities.
- Is contexto or graphify more popular on GitHub?
- graphify has more GitHub stars (82,139 vs 629). Stars measure visibility, not whether either tool fits your constraints.
- Are contexto and graphify open source?
- Yes - both are open-source projects on GitHub (contexto: Apache-2.0, graphify: MIT).
- Where can I find alternatives to contexto or graphify?
- GraphCanon lists graph-backed alternatives at contexto alternatives and graphify alternatives (contexto markdown twin, graphify 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 graphify?
- contexto: Steady. graphify: 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 graphify?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: contexto trust report; graphify trust report.