Comparison
future-agi vs End-to-End-Agentic-Ai-Automation-Lab
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 End-to-End-Agentic-Ai-Automation-Lab if end-to-End-Agentic-Ai-Automation-Lab offers hands-on projects and code for multi-agent systems using technologies like LangChain, AutoGen, CrewAI, RAG, MCP, and n8n on Docker, AWS, BentoML.
Markdown twin · future-agi alternatives · End-to-End-Agentic-Ai-Automation-Lab alternatives
GraphCanon updated Sep 20, 2026
vs
End-to-End-Agentic-Ai-Automation-Lab
MDalamin5/End-to-End-Agentic-Ai-Automation-Lab
★ 97pushed Jun 11, 2026
Trust & integrity
| Signal | future-agi | End-to-End-Agentic-Ai-Automation-Lab |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (92d since push) As of Sep 12, 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 12, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No published findings from this source as of 2026-07-15 As of Jul 15, 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
- End-to-End-Agentic-Ai-Automation-Lab
- Hands-on projects and code examples for multi-agent systems
Stars
- future-agi
- 2.0k
- End-to-End-Agentic-Ai-Automation-Lab
- 97
Forks
- future-agi
- 627
- End-to-End-Agentic-Ai-Automation-Lab
- 39
Open issues
- future-agi
- 961
- End-to-End-Agentic-Ai-Automation-Lab
- 0
Language
- future-agi
- Python
- End-to-End-Agentic-Ai-Automation-Lab
- Jupyter Notebook
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,
- End-to-End-Agentic-Ai-Automation-Lab
- End-to-End-Agentic-Ai-Automation-Lab offers hands-on projects and code for multi-agent systems using technologies like LangChain, AutoGen, CrewAI, RAG, MCP, and n8n on Docker, AWS, BentoML.
Persona
- future-agi
- -
- End-to-End-Agentic-Ai-Automation-Lab
- -
Runtime
- future-agi
- -
- End-to-End-Agentic-Ai-Automation-Lab
- -
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.
- End-to-End-Agentic-Ai-Automation-Lab
- MIT
Last pushed
- future-agi
- Sep 18, 2026
- End-to-End-Agentic-Ai-Automation-Lab
- Jun 11, 2026
Categories
- future-agi
- AI Agents, Evaluation & Observability, LLM Frameworks
- End-to-End-Agentic-Ai-Automation-Lab
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- future-agi
- Very active (96%)
- End-to-End-Agentic-Ai-Automation-Lab
- Slowing (36%)
Days since push
- future-agi
- 0d
- End-to-End-Agentic-Ai-Automation-Lab
- 92d
Open issues (now)
- future-agi
- 961
- End-to-End-Agentic-Ai-Automation-Lab
- 0
Stars delta
- future-agi
- +473 (30d)
- End-to-End-Agentic-Ai-Automation-Lab
- +7 (30d)
Open issues delta
- future-agi
- +365 (30d)
- End-to-End-Agentic-Ai-Automation-Lab
- 0 (30d)
Owner type
- future-agi
- Organization
- End-to-End-Agentic-Ai-Automation-Lab
- User
OSV dependency advisories
- future-agi
- No lockfile (source not queried)
- End-to-End-Agentic-Ai-Automation-Lab
- No published findings from this source as of 2026-07-15
Full report
- future-agi
- Trust report
- End-to-End-Agentic-Ai-Automation-Lab
- Trust report
Choose future-agi if…
- future-agi is primarily Python; End-to-End-Agentic-Ai-Automation-Lab is Jupyter Notebook.
- License: future-agi is Apache-2.0, End-to-End-Agentic-Ai-Automation-Lab 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 End-to-End-Agentic-Ai-Automation-Lab if…
- End-to-End-Agentic-Ai-Automation-Lab is primarily Jupyter Notebook; future-agi is Python.
- License: End-to-End-Agentic-Ai-Automation-Lab is MIT, future-agi is Apache-2.0.
- Tags unique to End-to-End-Agentic-Ai-Automation-Lab: agentic-ai, autogen, aws, bentoml.
- For developing complex multi-agent systems with automated workflows
When NOT to use End-to-End-Agentic-Ai-Automation-Lab
- If your project does not involve multi-agent systems or automation layers like n8n
- If you are looking for a simpler introductory tool to AI without the focus on deployment details
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 (MDalamin5/End-to-End-Agentic-Ai-Automation-Lab) · observed Sep 20, 2026
- GitHub forks (MDalamin5/End-to-End-Agentic-Ai-Automation-Lab) · observed Sep 20, 2026
- Last push (MDalamin5/End-to-End-Agentic-Ai-Automation-Lab) · observed Jun 11, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: future-agi 2.0k · End-to-End-Agentic-Ai-Automation-Lab 97 (synced Sep 20, 2026).
Common questions
- What is the difference between future-agi and End-to-End-Agentic-Ai-Automation-Lab?
- future-agi: Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. End-to-End-Agentic-Ai-Automation-Lab: Hands-on projects and code examples for multi-agent systems. See the comparison table for live GitHub stats and shared categories.
- When should I choose future-agi over End-to-End-Agentic-Ai-Automation-Lab?
- Choose future-agi over End-to-End-Agentic-Ai-Automation-Lab when future-agi is primarily Python; End-to-End-Agentic-Ai-Automation-Lab is Jupyter Notebook; License: future-agi is Apache-2.0, End-to-End-Agentic-Ai-Automation-Lab 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 End-to-End-Agentic-Ai-Automation-Lab over future-agi?
- Choose End-to-End-Agentic-Ai-Automation-Lab over future-agi when End-to-End-Agentic-Ai-Automation-Lab is primarily Jupyter Notebook; future-agi is Python; License: End-to-End-Agentic-Ai-Automation-Lab is MIT, future-agi is Apache-2.0; Tags unique to End-to-End-Agentic-Ai-Automation-Lab: agentic-ai, autogen, aws, bentoml; For developing complex multi-agent systems with automated workflows.
- 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 End-to-End-Agentic-Ai-Automation-Lab?
- If your project does not involve multi-agent systems or automation layers like n8n If you are looking for a simpler introductory tool to AI without the focus on deployment details
- Is future-agi or End-to-End-Agentic-Ai-Automation-Lab more popular on GitHub?
- future-agi has more GitHub stars (2,032 vs 97). Stars measure visibility, not whether either tool fits your constraints.
- Are future-agi and End-to-End-Agentic-Ai-Automation-Lab open source?
- Yes - both are open-source projects on GitHub (future-agi: Apache-2.0, End-to-End-Agentic-Ai-Automation-Lab: MIT).
- Where can I find alternatives to future-agi or End-to-End-Agentic-Ai-Automation-Lab?
- GraphCanon lists graph-backed alternatives at future-agi alternatives and End-to-End-Agentic-Ai-Automation-Lab alternatives (future-agi markdown twin, End-to-End-Agentic-Ai-Automation-Lab 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 End-to-End-Agentic-Ai-Automation-Lab?
- future-agi: Very active. End-to-End-Agentic-Ai-Automation-Lab: 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 End-to-End-Agentic-Ai-Automation-Lab?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: future-agi trust report; End-to-End-Agentic-Ai-Automation-Lab trust report.