Comparison
contexto vs agentflow
Verdict
Pick contexto if contexto is a TypeScript-based Context Engine designed to handle context management for long-running AI agents such as OpenClaw and Hermes; pick agentflow if agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations.
Markdown twin · contexto alternatives · agentflow alternatives
GraphCanon updated 5d
vs
Trust & integrity
| Signal | contexto | agentflow |
|---|---|---|
| Maintenance | Steady (53d since push) As of 2w · github_public_v1 | Dormant (1100d since push) As of 5d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Personal account As of 5d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- contexto
- Context Engine for long-running AI agents
- agentflow
- Complex LLM Workflows from Simple JSON
Stars
- contexto
- 627
- agentflow
- 320
Forks
- contexto
- 23
- agentflow
- 27
Open issues
- contexto
- 21
- agentflow
- 13
Language
- contexto
- TypeScript
- agentflow
- Python
Adopt for
- contexto
- contexto is a TypeScript-based Context Engine designed to handle context management for long-running AI agents such as OpenClaw and Hermes.
- agentflow
- Agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations.
Persona
- contexto
- -
- agentflow
- -
Runtime
- contexto
- -
- agentflow
- -
License
- contexto
- contexto is open-source software licensed under the Apache-2.0 license.
- agentflow
- MIT
Last pushed
- contexto
- Jun 10, 2026
- agentflow
- Aug 11, 2023
Categories
- contexto
- AI Agents, Data & Retrieval
- agentflow
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- contexto
- Steady (60%)
- agentflow
- Dormant (18%)
Days since push
- contexto
- 53d
- agentflow
- 1100d
Open issues (now)
- contexto
- 21
- agentflow
- 13
Stars delta
- contexto
- Unknown
- agentflow
- -1 (30d)
Open issues delta
- contexto
- Unknown
- agentflow
- 0 (30d)
Owner type
- contexto
- Organization
- agentflow
- User
Full report
- contexto
- Trust report
- agentflow
- Trust report
Choose contexto if…
- contexto is primarily TypeScript; agentflow is Python.
- License: contexto is Apache-2.0, agentflow is MIT.
- Pricing: The repository description indicates managed hosting options are available, but pricing details are not specified here..
- Requirements: Depends on TypeScript and is built with applications running AI agents such as OpenClaw and Hermes in mind..
- Tags unique to contexto: context management, hermes, long-running sessions, managed hosting.
- Also covers Data & Retrieval.
- contexto ships Docker support for self-hosted deployment.
- When developing applications with persistently running AI agents that require maintenance of session state over extended periods.
When NOT to use contexto
- For projects not involving long-running AI agents needing persistent context management, as it's specifically tailored for such use cases with its integration support for OpenClaw and Hermes.
- If you are looking for a solution that supports multiple programming languages; contexto exclusively uses TypeScript.
Choose agentflow if…
- agentflow is primarily Python; contexto is TypeScript.
- License: agentflow is MIT, contexto is Apache-2.0.
- Tags unique to agentflow: json, large language models, python, workflow-management.
- Also covers LLM Frameworks.
- When you need to rapidly prototype LLM workflows with minimal coding via JSON configs
When NOT to use agentflow
- Avoid if requiring advanced customization that goes beyond basic JSON configurations
- Not suitable for scenarios needing real-time dynamic changes in workflow setup during execution
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 Aug 2, 2026
- GitHub forks (ekailabs/contexto) · observed Aug 2, 2026
- Last push (ekailabs/contexto) · observed Jun 10, 2026
- License file (Apache-2.0) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (simonmesmith/agentflow) · observed Aug 16, 2026
- GitHub forks (simonmesmith/agentflow) · observed Aug 16, 2026
- Last push (simonmesmith/agentflow) · observed Aug 11, 2023
- License file (MIT) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: contexto 627 · agentflow 320 (synced Aug 2, 2026).
Common questions
- What is the difference between contexto and agentflow?
- contexto: Context Engine for long-running AI agents. agentflow: Complex LLM Workflows from Simple JSON. See the comparison table for live GitHub stats and shared categories.
- When should I choose contexto over agentflow?
- Choose contexto over agentflow when contexto is primarily TypeScript; agentflow is Python; License: contexto is Apache-2.0, agentflow is MIT; Pricing: The repository description indicates managed hosting options are available, but pricing details are not specified here.; Requirements: Depends on TypeScript and is built with applications running AI agents such as OpenClaw and Hermes in mind.; Tags unique to contexto: context management, hermes, long-running sessions, managed hosting; Also covers Data & Retrieval; contexto ships Docker support for self-hosted deployment; When developing applications with persistently running AI agents that require maintenance of session state over extended periods.
- When should I choose agentflow over contexto?
- Choose agentflow over contexto when agentflow is primarily Python; contexto is TypeScript; License: agentflow is MIT, contexto is Apache-2.0; Tags unique to agentflow: json, large language models, python, workflow-management; Also covers LLM Frameworks; When you need to rapidly prototype LLM workflows with minimal coding via JSON configs.
- When should I avoid contexto?
- For projects not involving long-running AI agents needing persistent context management, as it's specifically tailored for such use cases with its integration support for OpenClaw and Hermes. If you are looking for a solution that supports multiple programming languages; contexto exclusively uses TypeScript.
- When should I avoid agentflow?
- Avoid if requiring advanced customization that goes beyond basic JSON configurations Not suitable for scenarios needing real-time dynamic changes in workflow setup during execution
- Is contexto or agentflow more popular on GitHub?
- contexto has more GitHub stars (627 vs 320). Stars measure visibility, not whether either tool fits your constraints.
- Are contexto and agentflow open source?
- Yes - both are open-source projects on GitHub (contexto: Apache-2.0, agentflow: MIT).
- Where can I find alternatives to contexto or agentflow?
- GraphCanon lists graph-backed alternatives at contexto alternatives and agentflow alternatives (contexto markdown twin, agentflow 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 agentflow?
- contexto: Steady. agentflow: Dormant. 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 agentflow?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: contexto trust report; agentflow trust report.