--- title: "agentwatch vs future-agi" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/cyberark-agentwatch-vs-future-agi-future-agi" tools: ["cyberark-agentwatch", "future-agi-future-agi"] --- # agentwatch vs future-agi *GraphCanon updated Aug 9, 2026* ## Verdict Pick agentwatch if agentwatch is an AI observability framework for monitoring and optimizing cybersecurity and large language model operations with comprehensive insights into agent interactions; pick future-agi if future-AGI is an open-source toolkit for evaluating and improving LLMs and AI agents. It includes features like tracing, evaluations, simulations, datasets, gateway operations, and guardrails. [agentwatch](https://www.cyberark.com) reports 122 GitHub stars, 11 forks, and 0 open issues, last pushed May 14, 2025. [future-agi](https://futureagi.com) has 1.6k stars, 449 forks, and 596 open issues, last pushed Aug 1, 2026. Figures are from public GitHub metadata via [agentwatch's repository](https://github.com/cyberark/agentwatch) and [future-agi's repository](https://github.com/future-agi/future-agi). | | [agentwatch](/tools/cyberark-agentwatch.md) | [future-agi](/tools/future-agi-future-agi.md) | | --- | --- | --- | | Tagline | A powerful AI observability framework for monitoring and optimizing AI-driven applications. | End-to-end platform for evaluating, observing, and improving LLM and AI agent applications | | Stars | 122 | 1,559 | | Forks | 11 | 449 | | Open issues | 0 | 596 | | Language | Python | Python | | Adopt for | Agentwatch is an AI observability framework for monitoring and optimizing cybersecurity and large language model operations with comprehensive insights into agent interactions. | Future-AGI is an open-source toolkit for evaluating and improving LLMs and AI agents. It includes features like tracing, evaluations, simulations, datasets, gateway operations, and guardrails. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentwatch](/tools/cyberark-agentwatch.md) | [future-agi](/tools/future-agi-future-agi.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 451d | 1d | | Open issues (now) | 0 | 596 | | Full report | [trust report](/tools/cyberark-agentwatch/trust.md) | [trust report](/tools/future-agi-future-agi/trust.md) | ## Decision facts: agentwatch - **Adopt for:** Agentwatch is an AI observability framework for monitoring and optimizing cybersecurity and large language model operations with comprehensive insights into agent interactions. ## Decision facts: future-agi - **Pricing:** freemium - Future-AGI is open-source under the Apache 2.0 license, allowing for free use but with potential paid services through deployment and support channels. - **Requirements:** Min 4 GB RAM; Requires Docker - **Adopt for:** Future-AGI is an open-source toolkit for evaluating and improving LLMs and AI agents. It includes features like tracing, evaluations, simulations, datasets, gateway operations, and guardrails. ## Choose when ### Choose agentwatch if… - Tags unique to agentwatch: agent, agentic-ai, cybersecurity, large language models. - When your focus is on monitoring and analyzing AI-driven applications, especially those involving cybersecurity and large language models - Leaner open-issue backlog (0). ### Choose future-agi if… - Pricing: Future-AGI is open-source under the Apache 2.0 license, allowing for free use but with potential paid services through deployment and support channels.. - Requirements: Min 4 GB RAM; Requires Docker. - Tags unique to future-agi: ai-gateway, docker-compose, evals, llm. - future-agi ships Docker support for self-hosted deployment. - - Use Future-AGI when you require an end-to-end evaluation platform that supports self-hosting through Docker Compose or VM-based services on public clouds. ## When NOT to use agentwatch - For scenarios where the user interface aspect of observability is not preferred or required, as Agentwatch emphasizes an intuitive UI for insight into AI operations - When prioritizing support for non-Python environments since Agentwatch is specifically developed in Python and could limit usability in other ecosystems ## When NOT to use future-agi - - Avoid using Future-AGI if you require Kubernetes or Helm support as of the current state; though these are planned for future release, they are not yet available. - - If your deployment strategy relies on a managed service like AWS Marketplace, consider other options since it is currently 'Coming Soon'. ## Common questions ### What is the difference between agentwatch and future-agi? agentwatch: A powerful AI observability framework for monitoring and optimizing AI-driven applications.. future-agi: 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 agentwatch over future-agi? Choose agentwatch over future-agi when Tags unique to agentwatch: agent, agentic-ai, cybersecurity, large language models; When your focus is on monitoring and analyzing AI-driven applications, especially those involving cybersecurity and large language models; Leaner open-issue backlog (0). ### When should I choose future-agi over agentwatch? Choose future-agi over agentwatch when Pricing: Future-AGI is open-source under the Apache 2.0 license, allowing for free use but with potential paid services through deployment and support channels.; Requirements: Min 4 GB RAM; Requires Docker; Tags unique to future-agi: ai-gateway, docker-compose, evals, llm; future-agi ships Docker support for self-hosted deployment; - Use Future-AGI when you require an end-to-end evaluation platform that supports self-hosting through Docker Compose or VM-based services on public clouds. ### When should I avoid agentwatch? For scenarios where the user interface aspect of observability is not preferred or required, as Agentwatch emphasizes an intuitive UI for insight into AI operations When prioritizing support for non-Python environments since Agentwatch is specifically developed in Python and could limit usability in other ecosystems ### When should I avoid future-agi? - Avoid using Future-AGI if you require Kubernetes or Helm support as of the current state; though these are planned for future release, they are not yet available. - If your deployment strategy relies on a managed service like AWS Marketplace, consider other options since it is currently 'Coming Soon'. ### Is agentwatch or future-agi more popular on GitHub? future-agi has more GitHub stars (1,559 vs 122). Stars measure visibility, not whether either tool fits your constraints. ### Are agentwatch and future-agi open source? Yes - both are open-source projects on GitHub (agentwatch: Apache-2.0, future-agi: Apache-2.0). ### Where can I find alternatives to agentwatch or future-agi? GraphCanon lists graph-backed alternatives at [agentwatch alternatives](/tools/cyberark-agentwatch/alternatives) and [future-agi alternatives](/tools/future-agi-future-agi/alternatives) ([agentwatch markdown twin](/tools/cyberark-agentwatch/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/cyberark-agentwatch-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, agentwatch or future-agi? agentwatch: Dormant. 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 agentwatch and future-agi? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentwatch trust report](/tools/cyberark-agentwatch/trust); [future-agi trust report](/tools/future-agi-future-agi/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=cyberark-agentwatch`](/api/graphcanon/graph?tool=cyberark-agentwatch) - 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/_