Comparison
future-agi vs agentflow
Verdict
Pick future-agi if future-AGI is an open-source platform for evaluating and observing LLM and AI agent applications, offering features like tracing, evaluations, simulations, and guardrails. It is self-hostable and supports deployment via,; pick agentflow if agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations.
Markdown twin · future-agi alternatives · agentflow alternatives
GraphCanon updated Sep 20, 2026
5views this month
vs
Trust & integrity
| Signal | future-agi | agentflow |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Dormant (1100d since push) As of Aug 16, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Aug 16, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 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
- future-agi
- Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications
- agentflow
- Complex LLM Workflows from Simple JSON
Stars
- future-agi
- 2.0k
- agentflow
- 320
Forks
- future-agi
- 627
- agentflow
- 27
Open issues
- future-agi
- 961
- agentflow
- 13
Language
- future-agi
- Python
- agentflow
- Python
Adopt for
- future-agi
- Future-AGI is an open-source platform for evaluating and observing LLM and AI agent applications, offering features like tracing, evaluations, simulations, and guardrails. It is self-hostable and supports deployment via,
- agentflow
- Agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations.
Persona
- future-agi
- -
- agentflow
- -
Runtime
- future-agi
- -
- agentflow
- -
License
- future-agi
- Apache License 2.0, allowing for free use, modification, and distribution of the software, with the condition that any derivative works also be licensed under the same terms.
- agentflow
- MIT
Last pushed
- future-agi
- Sep 18, 2026
- agentflow
- Aug 11, 2023
Categories
- future-agi
- AI Agents, Evaluation & Observability, LLM Frameworks
- agentflow
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- future-agi
- Very active (96%)
- agentflow
- Dormant (18%)
Days since push
- future-agi
- 0d
- agentflow
- 1100d
Open issues (now)
- future-agi
- 961
- agentflow
- 13
Stars delta
- future-agi
- +473 (30d)
- agentflow
- -1 (30d)
Open issues delta
- future-agi
- +365 (30d)
- agentflow
- 0 (30d)
Owner type
- future-agi
- Organization
- agentflow
- User
Full report
- future-agi
- Trust report
- agentflow
- Trust report
Choose future-agi if…
- License: future-agi is Apache-2.0, agentflow is MIT.
- Pricing: The core platform is free and open-source under the Apache License 2.0. However, for managed services or additional support, contact sales for pricing..
- Requirements: Min 4 GB RAM; Requires Docker; Future-AGI requires Docker for deployment, with support for Docker Compose and upcoming Kubernetes and Helm support.; For production environments, a setup script is provided to generate secrets and pin image tags, ensuring a secure and reproducible deployment..
- Tags unique to future-agi: ai-agents, ai-evals, ai-gateway, ai-optimization.
- Also covers Evaluation & Observability.
- future-agi ships Docker support for self-hosted deployment.
- You need a self-hostable solution that does not phone home, ensuring full control over your data and evaluation logic.
When NOT to use future-agi
- You require immediate Kubernetes or Helm support, as these are not yet available, though they are in development.
- You are seeking a managed service or a solution available through AWS Marketplace, as these options are not yet available, though they are planned for the future.
- Your project is in a highly dynamic environment where frequent updates and vendor support are critical, as Future-AGI is a community-driven project with a focus on self-hosting and open-source.
Choose agentflow if…
- License: agentflow is MIT, future-agi is Apache-2.0.
- Tags unique to agentflow: json, large-language-models, python, workflow-management.
- 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 (future-agi/future-agi) · observed Sep 20, 2026
- GitHub forks (future-agi/future-agi) · observed Sep 20, 2026
- Last push (future-agi/future-agi) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (simonmesmith/agentflow) · observed Sep 20, 2026
- GitHub forks (simonmesmith/agentflow) · observed Sep 20, 2026
- Last push (simonmesmith/agentflow) · observed Aug 11, 2023
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: future-agi 2.0k · agentflow 320 (synced Sep 20, 2026).
Common questions
- What is the difference between future-agi and agentflow?
- future-agi: Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. agentflow: Complex LLM Workflows from Simple JSON. See the comparison table for live GitHub stats and shared categories.
- When should I choose future-agi over agentflow?
- Choose future-agi over agentflow when License: future-agi is Apache-2.0, agentflow is MIT; Pricing: The core platform is free and open-source under the Apache License 2.0. However, for managed services or additional support, contact sales for pricing.; Requirements: Min 4 GB RAM; Requires Docker; Future-AGI requires Docker for deployment, with support for Docker Compose and upcoming Kubernetes and Helm support.; For production environments, a setup script is provided to generate secrets and pin image tags, ensuring a secure and reproducible deployment.; Tags unique to future-agi: ai-agents, ai-evals, ai-gateway, ai-optimization; Also covers Evaluation & Observability; future-agi ships Docker support for self-hosted deployment; You need a self-hostable solution that does not phone home, ensuring full control over your data and evaluation logic.
- When should I choose agentflow over future-agi?
- Choose agentflow over future-agi when License: agentflow is MIT, future-agi is Apache-2.0; Tags unique to agentflow: json, large-language-models, python, workflow-management; When you need to rapidly prototype LLM workflows with minimal coding via JSON configs.
- When should I avoid future-agi?
- You require immediate Kubernetes or Helm support, as these are not yet available, though they are in development. You are seeking a managed service or a solution available through AWS Marketplace, as these options are not yet available, though they are planned for the future. Your project is in a highly dynamic environment where frequent updates and vendor support are critical, as Future-AGI is a community-driven project with a focus on self-hosting and open-source.
- 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 future-agi or agentflow more popular on GitHub?
- future-agi has more GitHub stars (2,032 vs 320). Stars measure visibility, not whether either tool fits your constraints.
- Are future-agi and agentflow open source?
- Yes - both are open-source projects on GitHub (future-agi: Apache-2.0, agentflow: MIT).
- Where can I find alternatives to future-agi or agentflow?
- GraphCanon lists graph-backed alternatives at future-agi alternatives and agentflow alternatives (future-agi 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, future-agi or agentflow?
- future-agi: 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 future-agi and agentflow?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: future-agi trust report; agentflow trust report.