--- title: "beava vs future-agi" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/beava-dev-beava-vs-future-agi-future-agi" tools: ["beava-dev-beava", "future-agi-future-agi"] --- # beava vs future-agi *GraphCanon updated Sep 20, 2026* ## Verdict Pick beava if beava offers real-time decision features that operate without requiring traditional streaming infrastructure like Kafka or Flink, differentiating it from competitors in the market; 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,. [beava](https://beava.dev) reports 138 GitHub stars, 10 forks, and 38 open issues, last pushed May 30, 2026. [future-agi](https://futureagi.com) has 2.0k stars, 627 forks, and 961 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [beava's repository](https://github.com/beava-dev/beava) and [future-agi's repository](https://github.com/future-agi/future-agi). | | [beava](/tools/beava-dev-beava.md) | [future-agi](/tools/future-agi-future-agi.md) | | --- | --- | --- | | Tagline | Real-time decision features without streaming infra | Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications | | Stars | 138 | 2,032 | | Forks | 10 | 627 | | Open issues | 38 | 961 | | Language | Rust | Python | | Adopt for | Beava offers real-time decision features that operate without requiring traditional streaming infrastructure like Kafka or Flink, differentiating it from competitors in the market. | 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 | - | - | | Runtime | - | - | | License | Beava uses the Apache-2.0 license. | 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. | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [beava](/tools/beava-dev-beava.md) | [future-agi](/tools/future-agi-future-agi.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 107d | 0d | | Open issues (now) | 38 | 961 | | Stars delta | -1 (30d) | +473 (30d) | | Open issues delta | 0 (30d) | +365 (30d) | | Full report | [trust report](/tools/beava-dev-beava/trust.md) | [trust report](/tools/future-agi-future-agi/trust.md) | ## Decision facts: beava - **Pricing:** freemium - Free to start with, may include premium features or paid plans that are not detailed in the repository data provided. - **Requirements:** Requires Docker - **Adopt for:** Beava offers real-time decision features that operate without requiring traditional streaming infrastructure like Kafka or Flink, differentiating it from competitors in the market. - **License detail:** Beava uses the Apache-2.0 license. ## Decision facts: future-agi - **Pricing:** freemium - 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. - **Adopt for:** 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, - **License detail:** 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. ## Choose when ### Choose beava if… - beava is primarily Rust; future-agi is Python. - Pricing: Free to start with, may include premium features or paid plans that are not detailed in the repository data provided.. - Requirements: Requires Docker. - Tags unique to beava: analytics, feature-store, fraud-detection, llm-guardrails. - Use Beava when you need to integrate live event processing into your product reflexes without setting up complex streaming infrastructures such as Kafka or feature stores. ### Choose future-agi if… - future-agi is primarily Python; beava is Rust. - 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. - You need a self-hostable solution that does not phone home, ensuring full control over your data and evaluation logic. ## When NOT to use beava - Avoid using Beava if your project relies heavily on existing Kafka or Flink environments, as the tool does not integrate well with these technologies. - Do not use Beava in scenarios where a feature store is critical for managing and serving feature data efficiently across different models. ## 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. ## Common questions ### What is the difference between beava and future-agi? beava: Real-time decision features without streaming infra. 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 beava over future-agi? Choose beava over future-agi when beava is primarily Rust; future-agi is Python; Pricing: Free to start with, may include premium features or paid plans that are not detailed in the repository data provided.; Requirements: Requires Docker; Tags unique to beava: analytics, feature-store, fraud-detection, llm-guardrails; Use Beava when you need to integrate live event processing into your product reflexes without setting up complex streaming infrastructures such as Kafka or feature stores. ### When should I choose future-agi over beava? Choose future-agi over beava when future-agi is primarily Python; beava is Rust; 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; You need a self-hostable solution that does not phone home, ensuring full control over your data and evaluation logic. ### When should I avoid beava? Avoid using Beava if your project relies heavily on existing Kafka or Flink environments, as the tool does not integrate well with these technologies. Do not use Beava in scenarios where a feature store is critical for managing and serving feature data efficiently across different models. ### 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 beava or future-agi more popular on GitHub? future-agi has more GitHub stars (2,032 vs 138). Stars measure visibility, not whether either tool fits your constraints. ### Are beava and future-agi open source? Yes - both are open-source projects on GitHub (beava: Apache-2.0, future-agi: Apache-2.0). ### Where can I find alternatives to beava or future-agi? GraphCanon lists graph-backed alternatives at [beava alternatives](/tools/beava-dev-beava/alternatives) and [future-agi alternatives](/tools/future-agi-future-agi/alternatives) ([beava markdown twin](/tools/beava-dev-beava/alternatives.md), [future-agi markdown twin](/tools/future-agi-future-agi/alternatives.md)), 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](/compare/beava-dev-beava-vs-future-agi-future-agi.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, beava or future-agi? beava: Slowing. 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 beava and future-agi? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [beava trust report](/tools/beava-dev-beava/trust); [future-agi trust report](/tools/future-agi-future-agi/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=beava-dev-beava`](/api/graphcanon/graph?tool=beava-dev-beava) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_