Comparison
agency-orchestrator vs agentflow
Verdict
Pick agency-orchestrator if agency Orchestrator is an AI workflow orchestrator that automatically collaborates among multiple AI agents based on user inputs, supports various large language models, and allows for zero-code YAML configuration; pick agentflow if agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations.
Markdown twin · agency-orchestrator alternatives · agentflow alternatives
GraphCanon updated Sep 20, 2026
6views this month
vs
Trust & integrity
| Signal | agency-orchestrator | agentflow |
|---|---|---|
| Maintenance | Very active (3d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (1100d since push) As of Aug 16, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Aug 16, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- agency-orchestrator
- 🚀 One sentence → multi-AI-role collaboration → complete plan in minutes
- agentflow
- Complex LLM Workflows from Simple JSON
Stars
- agency-orchestrator
- 2.3k
- agentflow
- 320
Forks
- agency-orchestrator
- 303
- agentflow
- 27
Open issues
- agency-orchestrator
- 7
- agentflow
- 13
Language
- agency-orchestrator
- TypeScript
- agentflow
- Python
Adopt for
- agency-orchestrator
- Agency Orchestrator is an AI workflow orchestrator that automatically collaborates among multiple AI agents based on user inputs, supports various large language models, and allows for zero-code YAML configuration.
- agentflow
- Agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations.
Persona
- agency-orchestrator
- -
- agentflow
- -
Runtime
- agency-orchestrator
- -
- agentflow
- -
License
- agency-orchestrator
- Apache-2.0
- agentflow
- MIT
Last pushed
- agency-orchestrator
- Sep 16, 2026
- agentflow
- Aug 11, 2023
Categories
- agency-orchestrator
- AI Agents, Inference & Serving
- agentflow
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- agency-orchestrator
- Very active (96%)
- agentflow
- Dormant (18%)
Days since push
- agency-orchestrator
- 3d
- agentflow
- 1100d
Open issues (now)
- agency-orchestrator
- 7
- agentflow
- 13
Stars delta
- agency-orchestrator
- +202 (30d)
- agentflow
- -1 (30d)
Open issues delta
- agency-orchestrator
- -3 (30d)
- agentflow
- 0 (30d)
OSV dependency advisories
- agency-orchestrator
- Published findings
- agentflow
- No lockfile (source not queried)
Full report
- agency-orchestrator
- Trust report
- agentflow
- Trust report
Choose agency-orchestrator if…
- agency-orchestrator is primarily TypeScript; agentflow is Python.
- License: agency-orchestrator is Apache-2.0, agentflow is MIT.
- Tags unique to agency-orchestrator: agency-agents, agent-orchestration, ai-agents, yaml-workflow.
- Also covers Inference & Serving.
- agency-orchestrator ships Docker support for self-hosted deployment.
- agency-orchestrator ships an MCP server manifest.
- You require automatic collaboration across a wide range of pre-defined expert roles (216+) to execute specific tasks efficiently.
When NOT to use agency-orchestrator
- If your workflow is simple or requires minimal collaboration; a single AI agent might suffice.
- When you are working in an environment where there's high sensitivity around software licensing and the Apache-2.0 license poses compliance concerns.
Choose agentflow if…
- agentflow is primarily Python; agency-orchestrator is TypeScript.
- License: agentflow is MIT, agency-orchestrator 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 (jnMetaCode/agency-orchestrator) · observed Sep 20, 2026
- GitHub forks (jnMetaCode/agency-orchestrator) · observed Sep 20, 2026
- Last push (jnMetaCode/agency-orchestrator) · observed Sep 16, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (simonmesmith/agentflow) · observed Sep 19, 2026
- GitHub forks (simonmesmith/agentflow) · observed Sep 19, 2026
- Last push (simonmesmith/agentflow) · observed Aug 11, 2023
- License file (MIT) · observed Sep 19, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agency-orchestrator 2.3k · agentflow 320 (synced Sep 20, 2026).
Common questions
- What is the difference between agency-orchestrator and agentflow?
- agency-orchestrator: 🚀 One sentence → multi-AI-role collaboration → complete plan in minutes. agentflow: Complex LLM Workflows from Simple JSON. See the comparison table for live GitHub stats and shared categories.
- When should I choose agency-orchestrator over agentflow?
- Choose agency-orchestrator over agentflow when agency-orchestrator is primarily TypeScript; agentflow is Python; License: agency-orchestrator is Apache-2.0, agentflow is MIT; Tags unique to agency-orchestrator: agency-agents, agent-orchestration, ai-agents, yaml-workflow; Also covers Inference & Serving; agency-orchestrator ships Docker support for self-hosted deployment; agency-orchestrator ships an MCP server manifest; You require automatic collaboration across a wide range of pre-defined expert roles (216+) to execute specific tasks efficiently.
- When should I choose agentflow over agency-orchestrator?
- Choose agentflow over agency-orchestrator when agentflow is primarily Python; agency-orchestrator is TypeScript; License: agentflow is MIT, agency-orchestrator 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 agency-orchestrator?
- If your workflow is simple or requires minimal collaboration; a single AI agent might suffice. When you are working in an environment where there's high sensitivity around software licensing and the Apache-2.0 license poses compliance concerns.
- 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 agency-orchestrator or agentflow more popular on GitHub?
- agency-orchestrator has more GitHub stars (2,274 vs 320). Stars measure visibility, not whether either tool fits your constraints.
- Are agency-orchestrator and agentflow open source?
- Yes - both are open-source projects on GitHub (agency-orchestrator: Apache-2.0, agentflow: MIT).
- Where can I find alternatives to agency-orchestrator or agentflow?
- GraphCanon lists graph-backed alternatives at agency-orchestrator alternatives and agentflow alternatives (agency-orchestrator 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, agency-orchestrator or agentflow?
- agency-orchestrator: Very active. 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 agency-orchestrator and agentflow?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agency-orchestrator trust report; agentflow trust report.