Comparison
future-agi vs myclaw-bench
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 myclaw-bench if myclaw-bench is a benchmark suite comprising 45 tasks across four tiers designed for evaluating AI agents within the OpenClaw platform.
Markdown twin · future-agi alternatives · myclaw-bench alternatives
GraphCanon updated Sep 20, 2026
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Trust & integrity
| Signal | future-agi | myclaw-bench |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Steady (61d 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
- myclaw-bench
- Benchmark for AI agents on OpenClaw
Stars
- future-agi
- 2.0k
- myclaw-bench
- 223
Forks
- future-agi
- 627
- myclaw-bench
- 36
Open issues
- future-agi
- 961
- myclaw-bench
- 2
Language
- future-agi
- Python
- myclaw-bench
- 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,
- myclaw-bench
- myclaw-bench is a benchmark suite comprising 45 tasks across four tiers designed for evaluating AI agents within the OpenClaw platform.
Persona
- future-agi
- -
- myclaw-bench
- -
Runtime
- future-agi
- -
- myclaw-bench
- -
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.
- myclaw-bench
- MIT
Last pushed
- future-agi
- Sep 18, 2026
- myclaw-bench
- Jul 20, 2026
Categories
- future-agi
- AI Agents, Evaluation & Observability, LLM Frameworks
- myclaw-bench
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- future-agi
- Very active (96%)
- myclaw-bench
- Steady (60%)
Days since push
- future-agi
- 0d
- myclaw-bench
- 61d
Open issues (now)
- future-agi
- 961
- myclaw-bench
- 2
Stars delta
- future-agi
- +473 (30d)
- myclaw-bench
- -4 (30d)
Open issues delta
- future-agi
- +365 (30d)
- myclaw-bench
- 0 (30d)
Owner type
- future-agi
- Organization
- myclaw-bench
- User
Full report
- future-agi
- Trust report
- myclaw-bench
- Trust report
Choose future-agi if…
- License: future-agi is Apache-2.0, myclaw-bench 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 myclaw-bench if…
- License: myclaw-bench is MIT, future-agi is Apache-2.0.
- Requirements: Requires Python version 3.10 or higher to execute the benchmark tasks.; Necessitates installation of the 'uv' package manager from Astral for dependencies management..
- Tags unique to myclaw-bench: ai-agent-evaluation, benchmarking-tools, openclaw.
- Use myclaw-bench if you are developing AI agents specifically for deployment on the OpenClaw platform, as it offers a precise evaluation tailored to this ecosystem.
When NOT to use myclaw-bench
- Avoid using myclaw-bench if your AI agents will not be deployed on the OpenClaw platform, as its benchmarks are specifically designed to test within this framework.
- Do not use if you require synthetic tests for controlling variables in a highly abstracted scenario, since myclaw-bench exclusively leverages real agent session data.
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 (LeoYeAI/myclaw-bench) · observed Sep 20, 2026
- GitHub forks (LeoYeAI/myclaw-bench) · observed Sep 20, 2026
- Last push (LeoYeAI/myclaw-bench) · observed Jul 20, 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 on cards: future-agi 2.0k · myclaw-bench 223 (synced Sep 20, 2026).
Common questions
- What is the difference between future-agi and myclaw-bench?
- future-agi: Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. myclaw-bench: Benchmark for AI agents on OpenClaw. See the comparison table for live GitHub stats and shared categories.
- When should I choose future-agi over myclaw-bench?
- Choose future-agi over myclaw-bench when License: future-agi is Apache-2.0, myclaw-bench 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 myclaw-bench over future-agi?
- Choose myclaw-bench over future-agi when License: myclaw-bench is MIT, future-agi is Apache-2.0; Requirements: Requires Python version 3.10 or higher to execute the benchmark tasks.; Necessitates installation of the 'uv' package manager from Astral for dependencies management.; Tags unique to myclaw-bench: ai-agent-evaluation, benchmarking-tools, openclaw; Use myclaw-bench if you are developing AI agents specifically for deployment on the OpenClaw platform, as it offers a precise evaluation tailored to this ecosystem.
- 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 myclaw-bench?
- Avoid using myclaw-bench if your AI agents will not be deployed on the OpenClaw platform, as its benchmarks are specifically designed to test within this framework. Do not use if you require synthetic tests for controlling variables in a highly abstracted scenario, since myclaw-bench exclusively leverages real agent session data.
- Is future-agi or myclaw-bench more popular on GitHub?
- future-agi has more GitHub stars (2,032 vs 223). Stars measure visibility, not whether either tool fits your constraints.
- Are future-agi and myclaw-bench open source?
- Yes - both are open-source projects on GitHub (future-agi: Apache-2.0, myclaw-bench: MIT).
- Where can I find alternatives to future-agi or myclaw-bench?
- GraphCanon lists graph-backed alternatives at future-agi alternatives and myclaw-bench alternatives (future-agi markdown twin, myclaw-bench 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 myclaw-bench?
- future-agi: Very active. myclaw-bench: 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 myclaw-bench?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: future-agi trust report; myclaw-bench trust report.