Home/Compare/agent-opt vs future-agi

Comparison

agent-opt vs future-agi

Verdict

Pick agent-opt if agent-opt is tailored for teams that require automated optimization of AI workflows and support for continuous integration/continuous delivery (CI/CD), relying on Python and specific library dependencies; 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.

Markdown twin · agent-opt alternatives · future-agi alternatives

GraphCanon updated Oct 3, 2026

5views this month

agent-opt logo

agent-opt

future-agi/agent-opt

★ 75pushed Jun 30, 2026
vs
future-agi logo

future-agi

future-agi/future-agi

★ 2.0kpushed Sep 18, 2026

Trust & integrity

Signalagent-optfuture-agi
Maintenance
Archived (95d since push)
As of Oct 3, 2026 · github_public_v1
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Oct 3, 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

agent-opt
Open Source Library for Automated Optimization of AI Agent Workflows
future-agi
Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications

Stars

agent-opt
75
future-agi
2.0k

Forks

agent-opt
9
future-agi
627

Open issues

agent-opt
0
future-agi
961

Language

agent-opt
Python
future-agi
Python

Adopt for

agent-opt
Agent-opt is tailored for teams that require automated optimization of AI workflows and support for continuous integration/continuous delivery (CI/CD), relying on Python and specific library dependencies.
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

agent-opt
-
future-agi
-

Runtime

agent-opt
-
future-agi
-

License

agent-opt
Apache-2.0
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

agent-opt
Jun 30, 2026
future-agi
Sep 18, 2026

Categories

agent-opt
AI Agents, Evaluation & Observability
future-agi
AI Agents, Evaluation & Observability, LLM Frameworks

Trust and health

Maintenance

agent-opt
Archived (8%)
future-agi
Very active (96%)

Days since push

agent-opt
95d
future-agi
0d

Archived on GitHub

agent-opt
Yes
future-agi
No

Open issues (now)

agent-opt
0
future-agi
961

Stars delta

agent-opt
+4 (30d)
future-agi
+473 (30d)

Open issues delta

agent-opt
0 (30d)
future-agi
+365 (30d)

Full report

agent-opt
Trust report
future-agi
Trust report

Choose agent-opt if…

  • Tags unique to agent-opt: agent, aioptimization, automation, cicd.
  • - When your project needs seamless CI/CD integration alongside automated optimization
  • Leaner open-issue backlog (0).

When NOT to use agent-opt

  • - If your project does not require Python or if it cannot meet the specific requirement of having Python ≥ 3.10
  • - In scenarios where CI/CD integration is not a priority for your AI workflow optimization

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-evals, ai-gateway, ai-optimization, ai-simulations.
  • 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: agent-opt 75 · future-agi 2.0k (synced Oct 3, 2026).

Common questions

What is the difference between agent-opt and future-agi?
agent-opt: Open Source Library for Automated Optimization of AI Agent 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 agent-opt over future-agi?
Choose agent-opt over future-agi when Tags unique to agent-opt: agent, aioptimization, automation, cicd; - When your project needs seamless CI/CD integration alongside automated optimization; Leaner open-issue backlog (0).
When should I choose future-agi over agent-opt?
Choose future-agi over agent-opt 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-evals, ai-gateway, ai-optimization, ai-simulations; 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 avoid agent-opt?
- If your project does not require Python or if it cannot meet the specific requirement of having Python ≥ 3.10 - In scenarios where CI/CD integration is not a priority for your AI workflow optimization
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 agent-opt or future-agi more popular on GitHub?
future-agi has more GitHub stars (2,032 vs 75). Stars measure visibility, not whether either tool fits your constraints.
Are agent-opt and future-agi open source?
Yes - both are open-source projects on GitHub (agent-opt: Apache-2.0, future-agi: Apache-2.0).
Where can I find alternatives to agent-opt or future-agi?
GraphCanon lists graph-backed alternatives at agent-opt alternatives and future-agi alternatives (agent-opt 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, agent-opt or future-agi?
agent-opt: Archived. 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 agent-opt and future-agi?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-opt trust report; future-agi trust report.

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