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Comparison

future-agi vs open-bias

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 open-bias if open-bias is an open-source tool for implementing rule adherence in AI agents through one line of code. It offers comprehensive functionalities including enforcement, tracing, and.

Markdown twin · future-agi alternatives · open-bias alternatives

GraphCanon updated Sep 20, 2026

future-agi logo

future-agi

future-agi/future-agi

★ 2.0kpushed Sep 18, 2026
vs
open-bias logo

open-bias

open-bias/open-bias

★ 142pushed May 23, 2026

Trust & integrity

Signalfuture-agiopen-bias
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Slowing (112d 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 · Organization 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 lockfile (source not queried)
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
future-agi trust reportopen-bias trust reportTrust methodology

Tagline

future-agi
Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications
open-bias
One line of code to enforce, trace, and improve rule adherence for AI agents.

Stars

future-agi
2.0k
open-bias
142

Forks

future-agi
627
open-bias
5

Open issues

future-agi
961
open-bias
0

Language

future-agi
Python
open-bias
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,
open-bias
Open-bias is an open-source tool for implementing rule adherence in AI agents through one line of code. It offers comprehensive functionalities including enforcement, tracing, and improvement of compliance rules.

Persona

future-agi
-
open-bias
-

Runtime

future-agi
-
open-bias
-

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.
open-bias
Apache-2.0

Last pushed

future-agi
Sep 18, 2026
open-bias
May 23, 2026

Categories

future-agi
AI Agents, Evaluation & Observability, LLM Frameworks
open-bias
AI Agents, Evaluation & Observability

Trust and health

Maintenance

future-agi
Very active (96%)
open-bias
Slowing (36%)

Days since push

future-agi
0d
open-bias
112d

Open issues (now)

future-agi
961
open-bias
0

Stars delta

future-agi
+473 (30d)
open-bias
+5 (30d)

Open issues delta

future-agi
+365 (30d)
open-bias
0 (30d)

Full report

future-agi
Trust report
open-bias
Trust report

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-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.
GitHubDetails

Choose open-bias if…

  • Tags unique to open-bias: agentic-ai, ai-compliance, llm-guardrails, policy-engine.
  • You need to enforce detailed rule sets on your AI agents quickly with minimal integration effort.
  • Leaner open-issue backlog (0).

When NOT to use open-bias

  • You prefer tools that offer more advanced customization options beyond the one-line code integration.
  • Your project prioritizes less intrusive methods for AI governance, avoiding additional layers of complexity on existing architectures.
GitHubDetails

Explore

future-agi trust report →open-bias trust report →AI Agents category →Evaluation & Observability category →LLM Frameworks category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: future-agi 2.0k · open-bias 142 (synced Sep 20, 2026).

Common questions

What is the difference between future-agi and open-bias?
future-agi: Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. open-bias: One line of code to enforce, trace, and improve rule adherence for AI agents.. See the comparison table for live GitHub stats and shared categories.
When should I choose future-agi over open-bias?
Choose future-agi over open-bias 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-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 open-bias over future-agi?
Choose open-bias over future-agi when Tags unique to open-bias: agentic-ai, ai-compliance, llm-guardrails, policy-engine; You need to enforce detailed rule sets on your AI agents quickly with minimal integration effort; Leaner open-issue backlog (0).
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 open-bias?
You prefer tools that offer more advanced customization options beyond the one-line code integration. Your project prioritizes less intrusive methods for AI governance, avoiding additional layers of complexity on existing architectures.
Is future-agi or open-bias more popular on GitHub?
future-agi has more GitHub stars (2,032 vs 142). Stars measure visibility, not whether either tool fits your constraints.
Are future-agi and open-bias open source?
Yes - both are open-source projects on GitHub (future-agi: Apache-2.0, open-bias: Apache-2.0).
Where can I find alternatives to future-agi or open-bias?
GraphCanon lists graph-backed alternatives at future-agi alternatives and open-bias alternatives (future-agi markdown twin, open-bias 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 open-bias?
future-agi: Very active. open-bias: 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 open-bias?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: future-agi trust report; open-bias trust report.

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