Comparison
future-agi vs raga-llm-hub
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 raga-llm-hub if raga LLM-Hub is a Python-based framework for evaluating large language models, enforcing guardrails, and ensuring security during the operation of these models.
Markdown twin · future-agi alternatives · raga-llm-hub alternatives
GraphCanon updated Sep 20, 2026
12views this month
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Trust & integrity
| Signal | future-agi | raga-llm-hub |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Dormant (740d since push) As of Sep 20, 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 20, 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
- raga-llm-hub
- Framework for LLM evaluation, guardrails and security
Stars
- future-agi
- 2.0k
- raga-llm-hub
- 115
Forks
- future-agi
- 627
- raga-llm-hub
- 14
Open issues
- future-agi
- 961
- raga-llm-hub
- 2
Language
- future-agi
- Python
- raga-llm-hub
- 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,
- raga-llm-hub
- Raga LLM-Hub is a Python-based framework for evaluating large language models, enforcing guardrails, and ensuring security during the operation of these models.
Persona
- future-agi
- -
- raga-llm-hub
- -
Runtime
- future-agi
- -
- raga-llm-hub
- -
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.
- raga-llm-hub
- The license for Raga LLM-Hub differs from common Open Source licenses like MIT or Apache, implying specific conditions that might affect its usability in open projects.
Last pushed
- future-agi
- Sep 18, 2026
- raga-llm-hub
- Sep 9, 2024
Categories
- future-agi
- AI Agents, Evaluation & Observability, LLM Frameworks
- raga-llm-hub
- Evaluation & Observability
Trust and health
Maintenance
- future-agi
- Very active (96%)
- raga-llm-hub
- Dormant (18%)
Days since push
- future-agi
- 0d
- raga-llm-hub
- 740d
Open issues (now)
- future-agi
- 961
- raga-llm-hub
- 2
Stars delta
- future-agi
- +473 (30d)
- raga-llm-hub
- +1 (30d)
Open issues delta
- future-agi
- +365 (30d)
- raga-llm-hub
- 0 (30d)
Full report
- future-agi
- Trust report
- raga-llm-hub
- Trust report
Choose future-agi if…
- License: future-agi is Apache-2.0, raga-llm-hub is Other.
- 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, LLM Frameworks.
- 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 raga-llm-hub if…
- License: raga-llm-hub is Other, future-agi is Apache-2.0.
- Pricing: Pricing information is not specified; it operates under a unique licensing model which may or may not have restrictive terms for commercial use..
- Requirements: Requires Python installation and environment to set up.; Installation is straightforward through pip but the broader dependencies should be checked as per project requirements..
- Tags unique to raga-llm-hub: llm-evaluation, llm-security, llmops.
- When you need to conduct detailed evaluations on large language models and require specific methods to enforce guardrails and maintain security within your application or environment.
When NOT to use raga-llm-hub
- If you are working in an environment where the use of Python is not feasible or desired, as Raga LLM-Hub's functionality is deeply integrated within Python.
- Avoid using if your primary need does not include guardrails enforcement and security features for LLMs, since Raga LLM Hub emphasizes these aspects.
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 (raga-ai-hub/raga-llm-hub) · observed Sep 20, 2026
- GitHub forks (raga-ai-hub/raga-llm-hub) · observed Sep 20, 2026
- Last push (raga-ai-hub/raga-llm-hub) · observed Sep 9, 2024
- License file (Other) · 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 · raga-llm-hub 115 (synced Sep 20, 2026).
Common questions
- What is the difference between future-agi and raga-llm-hub?
- future-agi: Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. raga-llm-hub: Framework for LLM evaluation, guardrails and security. See the comparison table for live GitHub stats and shared categories.
- When should I choose future-agi over raga-llm-hub?
- Choose future-agi over raga-llm-hub when License: future-agi is Apache-2.0, raga-llm-hub is Other; 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, LLM Frameworks; 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 raga-llm-hub over future-agi?
- Choose raga-llm-hub over future-agi when License: raga-llm-hub is Other, future-agi is Apache-2.0; Pricing: Pricing information is not specified; it operates under a unique licensing model which may or may not have restrictive terms for commercial use.; Requirements: Requires Python installation and environment to set up.; Installation is straightforward through pip but the broader dependencies should be checked as per project requirements.; Tags unique to raga-llm-hub: llm-evaluation, llm-security, llmops; When you need to conduct detailed evaluations on large language models and require specific methods to enforce guardrails and maintain security within your application or environment.
- 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 raga-llm-hub?
- If you are working in an environment where the use of Python is not feasible or desired, as Raga LLM-Hub's functionality is deeply integrated within Python. Avoid using if your primary need does not include guardrails enforcement and security features for LLMs, since Raga LLM Hub emphasizes these aspects.
- Is future-agi or raga-llm-hub more popular on GitHub?
- future-agi has more GitHub stars (2,032 vs 115). Stars measure visibility, not whether either tool fits your constraints.
- Are future-agi and raga-llm-hub open source?
- Yes - both are open-source projects on GitHub (future-agi: Apache-2.0, raga-llm-hub: Other).
- Where can I find alternatives to future-agi or raga-llm-hub?
- GraphCanon lists graph-backed alternatives at future-agi alternatives and raga-llm-hub alternatives (future-agi markdown twin, raga-llm-hub 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 raga-llm-hub?
- future-agi: Very active. raga-llm-hub: 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 raga-llm-hub?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: future-agi trust report; raga-llm-hub trust report.