Comparison
future-agi vs Promptify
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 Promptify if promptify is a Python library designed for task-based Natural Language Processing with Pydantic structured outputs and built-in evaluation features, leveraging LiteLLM as its universal LLM.
Markdown twin · future-agi alternatives · Promptify alternatives
GraphCanon updated Sep 20, 2026
7views this month
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Trust & integrity
| Signal | future-agi | Promptify |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (164d since push) As of Sep 7, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 7, 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
- Promptify
- Task-based NLP engine with Pydantic structured outputs
Stars
- future-agi
- 2.0k
- Promptify
- 4.6k
Forks
- future-agi
- 627
- Promptify
- 363
Open issues
- future-agi
- 961
- Promptify
- 60
Language
- future-agi
- Python
- Promptify
- 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,
- Promptify
- Promptify is a Python library designed for task-based Natural Language Processing with Pydantic structured outputs and built-in evaluation features, leveraging LiteLLM as its universal LLM backend. It supports prompt版本控制
Persona
- future-agi
- -
- Promptify
- -
Runtime
- future-agi
- -
- Promptify
- -
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.
- Promptify
- Promptify is available under the Apache-2.0 license, granting users permissions to use, modify, distribute, and sell this software.
Last pushed
- future-agi
- Sep 18, 2026
- Promptify
- Mar 27, 2026
Categories
- future-agi
- AI Agents, Evaluation & Observability, LLM Frameworks
- Promptify
- Evaluation & Observability, LLM Frameworks
Trust and health
Maintenance
- future-agi
- Very active (96%)
- Promptify
- Slowing (36%)
Days since push
- future-agi
- 0d
- Promptify
- 164d
Open issues (now)
- future-agi
- 961
- Promptify
- 60
Stars delta
- future-agi
- +473 (30d)
- Promptify
- +8 (30d)
Open issues delta
- future-agi
- +365 (30d)
- Promptify
- 0 (30d)
Full report
- future-agi
- Trust report
- Promptify
- Trust report
Choose future-agi if…
- 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 AI Agents.
- 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 Promptify if…
- Requirements: Requires Python 3.9 or higher; Can be installed via pip or directly from GitHub.
- Tags unique to Promptify: chatgpt, chatgpt-api, gpt-3, gpt-4.
- When your application requires structured NLP outputs with clear schemas defined using Pydantic
When NOT to use Promptify
- When your project does not require structured outputs or if Pydantic schemas are not suitable for your use case
- If you do not need built-in evaluation metrics for prompt performance and prefer more customization in the evaluation process
- In situations where integration with only a few specific LLMs is required, as Promptify's advantage lies in its flexibility across various providers
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 (promptslab/Promptify) · observed Sep 20, 2026
- GitHub forks (promptslab/Promptify) · observed Sep 20, 2026
- Last push (promptslab/Promptify) · observed Mar 27, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 9, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: future-agi 2.0k · Promptify 4.6k (synced Sep 20, 2026).
Common questions
- What is the difference between future-agi and Promptify?
- future-agi: Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. Promptify: Task-based NLP engine with Pydantic structured outputs. See the comparison table for live GitHub stats and shared categories.
- When should I choose future-agi over Promptify?
- Choose future-agi over Promptify when 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 AI Agents; 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 Promptify over future-agi?
- Choose Promptify over future-agi when Requirements: Requires Python 3.9 or higher; Can be installed via pip or directly from GitHub; Tags unique to Promptify: chatgpt, chatgpt-api, gpt-3, gpt-4; When your application requires structured NLP outputs with clear schemas defined using Pydantic.
- 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 Promptify?
- When your project does not require structured outputs or if Pydantic schemas are not suitable for your use case If you do not need built-in evaluation metrics for prompt performance and prefer more customization in the evaluation process In situations where integration with only a few specific LLMs is required, as Promptify's advantage lies in its flexibility across various providers
- Is future-agi or Promptify more popular on GitHub?
- Promptify has more GitHub stars (4,638 vs 2,032). Stars measure visibility, not whether either tool fits your constraints.
- Are future-agi and Promptify open source?
- Yes - both are open-source projects on GitHub (future-agi: Apache-2.0, Promptify: Apache-2.0).
- Where can I find alternatives to future-agi or Promptify?
- GraphCanon lists graph-backed alternatives at future-agi alternatives and Promptify alternatives (future-agi markdown twin, Promptify 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 Promptify?
- future-agi: Very active. Promptify: Slowing. 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 Promptify?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: future-agi trust report; Promptify trust report.