Comparison
awesome-ai-apps vs future-agi
Verdict
Pick awesome-ai-apps if awesome-ai-apps is a curated list of projects focusing on AI applications and innovations such as RAG technologies, AI agents, and workflows, emphasizing large language models using Python; 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.
Markdown twin · awesome-ai-apps alternatives · future-agi alternatives
GraphCanon updated Sep 20, 2026
7views this month
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Trust & integrity
| Signal | awesome-ai-apps | future-agi |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 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
- awesome-ai-apps
- A curated list of AI applications showcasing RAG, agents, and workflows.
- future-agi
- Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications
Stars
- awesome-ai-apps
- 16k
- future-agi
- 2.0k
Forks
- awesome-ai-apps
- 1.8k
- future-agi
- 627
Open issues
- awesome-ai-apps
- 65
- future-agi
- 961
Language
- awesome-ai-apps
- Python
- future-agi
- Python
Adopt for
- awesome-ai-apps
- awesome-ai-apps is a curated list of projects focusing on AI applications and innovations such as RAG technologies, AI agents, and workflows, emphasizing large language models using Python.
- 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,
Persona
- awesome-ai-apps
- -
- future-agi
- -
Runtime
- awesome-ai-apps
- -
- future-agi
- -
License
- awesome-ai-apps
- MIT License ensures easy integration into both open source and proprietary projects without restrictions.
- 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.
Last pushed
- awesome-ai-apps
- Sep 18, 2026
- future-agi
- Sep 18, 2026
Categories
- awesome-ai-apps
- AI Agents, LLM Frameworks
- future-agi
- AI Agents, Evaluation & Observability, LLM Frameworks
Trust and health
Days since push
- awesome-ai-apps
- 1d
- future-agi
- 0d
Open issues (now)
- awesome-ai-apps
- 65
- future-agi
- 961
Stars delta
- awesome-ai-apps
- +2.4k (30d)
- future-agi
- +473 (30d)
Open issues delta
- awesome-ai-apps
- -24 (30d)
- future-agi
- +365 (30d)
Owner type
- awesome-ai-apps
- User
- future-agi
- Organization
Full report
- awesome-ai-apps
- Trust report
- future-agi
- Trust report
Choose awesome-ai-apps if…
- License: awesome-ai-apps is MIT, future-agi is Apache-2.0.
- Pricing: As an open-source project under the MIT License, awesome-ai-apps is free to use. There are no paid plans beyond potential third-party service integrations or support contracts..
- Requirements: Requires understanding of Python and familiarity with large language models and RAG technologies to benefit fully from the projects listed..
- Tags unique to awesome-ai-apps: agents, ai, hacktoberfest, llm.
- Use awesome-ai-apps when looking to explore or implement Retrieval-Augmented Generation (RAG) in Python projects focused on enhancing search-based question answering.
When NOT to use awesome-ai-apps
- Avoid awesome-ai-apps if your project requires non-Python support, as all the included applications are built using Python.
- Do not use this repository if your focus is on backend-only AI services that do not involve RAG technologies or AI agents.
Choose future-agi if…
- License: future-agi is Apache-2.0, awesome-ai-apps 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Arindam200/awesome-ai-apps) · observed Sep 20, 2026
- GitHub forks (Arindam200/awesome-ai-apps) · observed Sep 20, 2026
- Last push (Arindam200/awesome-ai-apps) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: awesome-ai-apps 16k · future-agi 2.0k (synced Sep 20, 2026).
Common questions
- What is the difference between awesome-ai-apps and future-agi?
- awesome-ai-apps: A curated list of AI applications showcasing RAG, agents, and workflows.. future-agi: Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-ai-apps over future-agi?
- Choose awesome-ai-apps over future-agi when License: awesome-ai-apps is MIT, future-agi is Apache-2.0; Pricing: As an open-source project under the MIT License, awesome-ai-apps is free to use. There are no paid plans beyond potential third-party service integrations or support contracts.; Requirements: Requires understanding of Python and familiarity with large language models and RAG technologies to benefit fully from the projects listed.; Tags unique to awesome-ai-apps: agents, ai, hacktoberfest, llm; Use awesome-ai-apps when looking to explore or implement Retrieval-Augmented Generation (RAG) in Python projects focused on enhancing search-based question answering.
- When should I choose future-agi over awesome-ai-apps?
- Choose future-agi over awesome-ai-apps when License: future-agi is Apache-2.0, awesome-ai-apps 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 avoid awesome-ai-apps?
- Avoid awesome-ai-apps if your project requires non-Python support, as all the included applications are built using Python. Do not use this repository if your focus is on backend-only AI services that do not involve RAG technologies or AI agents.
- 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.
- Is awesome-ai-apps or future-agi more popular on GitHub?
- awesome-ai-apps has more GitHub stars (15,671 vs 2,032). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-ai-apps and future-agi open source?
- Yes - both are open-source projects on GitHub (awesome-ai-apps: MIT, future-agi: Apache-2.0).
- Where can I find alternatives to awesome-ai-apps or future-agi?
- GraphCanon lists graph-backed alternatives at awesome-ai-apps alternatives and future-agi alternatives (awesome-ai-apps markdown twin, future-agi 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, awesome-ai-apps or future-agi?
- awesome-ai-apps: Very active. future-agi: Very active. 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 awesome-ai-apps and future-agi?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-ai-apps trust report; future-agi trust report.