Comparison
future-agi vs LLM-Agents-Ecosystem-Handbook
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 LLM-Agents-Ecosystem-Handbook if lLM-Agents-Ecosystem-Handbook is a comprehensive resource for developers looking to build and deploy LLM agents. It includes 60+ agent skeletons, tutorials spanning from fine-tuning to local.
Markdown twin · future-agi alternatives · LLM-Agents-Ecosystem-Handbook alternatives
GraphCanon updated Sep 20, 2026
10views this month
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Trust & integrity
| Signal | future-agi | LLM-Agents-Ecosystem-Handbook |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Steady (81d 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 · Personal 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
- LLM-Agents-Ecosystem-Handbook
- One-stop handbook for building, deploying, and understanding LLM agents
Stars
- future-agi
- 2.0k
- LLM-Agents-Ecosystem-Handbook
- 550
Forks
- future-agi
- 627
- LLM-Agents-Ecosystem-Handbook
- 91
Open issues
- future-agi
- 961
- LLM-Agents-Ecosystem-Handbook
- 3
Language
- future-agi
- Python
- LLM-Agents-Ecosystem-Handbook
- 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,
- LLM-Agents-Ecosystem-Handbook
- LLM-Agents-Ecosystem-Handbook is a comprehensive resource for developers looking to build and deploy LLM agents. It includes 60+ agent skeletons, tutorials spanning from fine-tuning to local development, and evaluation工具
Persona
- future-agi
- -
- LLM-Agents-Ecosystem-Handbook
- -
Runtime
- future-agi
- -
- LLM-Agents-Ecosystem-Handbook
- -
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.
- LLM-Agents-Ecosystem-Handbook
- MIT
Last pushed
- future-agi
- Sep 18, 2026
- LLM-Agents-Ecosystem-Handbook
- Jun 30, 2026
Categories
- future-agi
- AI Agents, Evaluation & Observability, LLM Frameworks
- LLM-Agents-Ecosystem-Handbook
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- future-agi
- Very active (96%)
- LLM-Agents-Ecosystem-Handbook
- Steady (60%)
Days since push
- future-agi
- 0d
- LLM-Agents-Ecosystem-Handbook
- 81d
Open issues (now)
- future-agi
- 961
- LLM-Agents-Ecosystem-Handbook
- 3
Stars delta
- future-agi
- +473 (30d)
- LLM-Agents-Ecosystem-Handbook
- +11 (30d)
Open issues delta
- future-agi
- +365 (30d)
- LLM-Agents-Ecosystem-Handbook
- +2 (30d)
Owner type
- future-agi
- Organization
- LLM-Agents-Ecosystem-Handbook
- User
Full report
- future-agi
- Trust report
- LLM-Agents-Ecosystem-Handbook
- Trust report
Choose future-agi if…
- License: future-agi is Apache-2.0, LLM-Agents-Ecosystem-Handbook 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 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 LLM-Agents-Ecosystem-Handbook if…
- License: LLM-Agents-Ecosystem-Handbook is MIT, future-agi is Apache-2.0.
- Requirements: Min 2 GB RAM; Requires Python for full functionality.; Suitable for both local development and deployment..
- Tags unique to LLM-Agents-Ecosystem-Handbook: ai-agent, fine-tuning, finetuning-llms, framework.
- Use this when you need comprehensive guides covering the entire development lifecycle of a language model agent, from setup through deployment.
When NOT to use LLM-Agents-Ecosystem-Handbook
- When you seek only theoretical knowledge without hands-on projects. This repository is heavily focused on practical aspects.
- If your project needs languages other than Python or uses frameworks not discussed here, the LLM-Agents-Ecosystem-Handbook may not be suitable as it concentrates exclusively on Python tools and LLM ecosystems.
- If you're aiming to work with a very niche aspect of LLMs that isn't yet covered by this extensive but still limited set of resources.
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 (oxbshw/LLM-Agents-Ecosystem-Handbook) · observed Sep 20, 2026
- GitHub forks (oxbshw/LLM-Agents-Ecosystem-Handbook) · observed Sep 20, 2026
- Last push (oxbshw/LLM-Agents-Ecosystem-Handbook) · observed Jun 30, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: future-agi 2.0k · LLM-Agents-Ecosystem-Handbook 550 (synced Sep 20, 2026).
Common questions
- What is the difference between future-agi and LLM-Agents-Ecosystem-Handbook?
- future-agi: Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. LLM-Agents-Ecosystem-Handbook: One-stop handbook for building, deploying, and understanding LLM agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose future-agi over LLM-Agents-Ecosystem-Handbook?
- Choose future-agi over LLM-Agents-Ecosystem-Handbook when License: future-agi is Apache-2.0, LLM-Agents-Ecosystem-Handbook 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 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 LLM-Agents-Ecosystem-Handbook over future-agi?
- Choose LLM-Agents-Ecosystem-Handbook over future-agi when License: LLM-Agents-Ecosystem-Handbook is MIT, future-agi is Apache-2.0; Requirements: Min 2 GB RAM; Requires Python for full functionality.; Suitable for both local development and deployment.; Tags unique to LLM-Agents-Ecosystem-Handbook: ai-agent, fine-tuning, finetuning-llms, framework; Use this when you need comprehensive guides covering the entire development lifecycle of a language model agent, from setup through deployment.
- 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 LLM-Agents-Ecosystem-Handbook?
- When you seek only theoretical knowledge without hands-on projects. This repository is heavily focused on practical aspects. If your project needs languages other than Python or uses frameworks not discussed here, the LLM-Agents-Ecosystem-Handbook may not be suitable as it concentrates exclusively on Python tools and LLM ecosystems. If you're aiming to work with a very niche aspect of LLMs that isn't yet covered by this extensive but still limited set of resources.
- Is future-agi or LLM-Agents-Ecosystem-Handbook more popular on GitHub?
- future-agi has more GitHub stars (2,032 vs 550). Stars measure visibility, not whether either tool fits your constraints.
- Are future-agi and LLM-Agents-Ecosystem-Handbook open source?
- Yes - both are open-source projects on GitHub (future-agi: Apache-2.0, LLM-Agents-Ecosystem-Handbook: MIT).
- Where can I find alternatives to future-agi or LLM-Agents-Ecosystem-Handbook?
- GraphCanon lists graph-backed alternatives at future-agi alternatives and LLM-Agents-Ecosystem-Handbook alternatives (future-agi markdown twin, LLM-Agents-Ecosystem-Handbook 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 LLM-Agents-Ecosystem-Handbook?
- future-agi: Very active. LLM-Agents-Ecosystem-Handbook: Steady. 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 LLM-Agents-Ecosystem-Handbook?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: future-agi trust report; LLM-Agents-Ecosystem-Handbook trust report.