--- title: "future-agi vs langwatch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/future-agi-future-agi-vs-langwatch-langwatch" tools: ["future-agi-future-agi", "langwatch-langwatch"] --- # future-agi vs langwatch *GraphCanon updated Aug 8, 2026* ## Verdict 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; pick langwatch if langWatch is a comprehensive tool for evaluating large language models (LLM) and testing AI agents. It supports self-hosting with flexible deployment options including Docker, Kubernetes, and cloud-specific setups. [future-agi](https://futureagi.com) reports 1.6k GitHub stars, 449 forks, and 596 open issues, last pushed Aug 1, 2026. [langwatch](https://langwatch.ai) has 3.5k stars, 340 forks, and 777 open issues, last pushed Aug 7, 2026. Figures are from public GitHub metadata via [future-agi's repository](https://github.com/future-agi/future-agi) and [langwatch's repository](https://github.com/langwatch/langwatch). | | [future-agi](/tools/future-agi-future-agi.md) | [langwatch](/tools/langwatch-langwatch.md) | | --- | --- | --- | | Tagline | End-to-end platform for evaluating, observing, and improving LLM and AI agent applications | The platform for LLM evaluations and AI agent testing | | Stars | 1,559 | 3,479 | | Forks | 449 | 340 | | Open issues | 596 | 777 | | Language | Python | TypeScript | | 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. | LangWatch is a comprehensive tool for evaluating large language models (LLM) and testing AI agents. It supports self-hosting with flexible deployment options including Docker, Kubernetes, and cloud-specific setups. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | LangWatch is licensed under Apache-2.0 for its core functionalities, but enterprise modules such as SCIM and audit logging require a commercial license. | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [future-agi](/tools/future-agi-future-agi.md) | [langwatch](/tools/langwatch-langwatch.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 596 | 777 | | Stars delta | Unknown | +152 (30d) | | Open issues delta | Unknown | +103 (30d) | | Full report | [trust report](/tools/future-agi-future-agi/trust.md) | [trust report](/tools/langwatch-langwatch/trust.md) | ## 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. ## Decision facts: langwatch - **Pricing:** freemium - Open-source editions are free with restrictions on certain advanced features that require a commercial license. - **Adopt for:** LangWatch is a comprehensive tool for evaluating large language models (LLM) and testing AI agents. It supports self-hosting with flexible deployment options including Docker, Kubernetes, and cloud-specific setups. - **License detail:** LangWatch is licensed under Apache-2.0 for its core functionalities, but enterprise modules such as SCIM and audit logging require a commercial license. ## Choose when ### Choose future-agi if… - future-agi is primarily Python; langwatch is TypeScript. - 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, simulation. - 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. ### Choose langwatch if… - langwatch is primarily TypeScript; future-agi is Python. - Pricing: Open-source editions are free with restrictions on certain advanced features that require a commercial license.. - Tags unique to langwatch: ai, analytics, datasets, evaluation. - You need to evaluate LLMs and test AI agents in a controlled environment. ## 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'. ## When NOT to use langwatch - If you are looking for an out-of-the-box service without the complexity of setting up your own infrastructure, since LangWatch heavily leans towards self-hosting. - You do not require advanced enterprise features like SCIM, audit logs, license management, as these features require a commercial license. ## Common questions ### What is the difference between future-agi and langwatch? future-agi: End-to-end platform for evaluating, observing, and improving LLM and AI agent applications. langwatch: The platform for LLM evaluations and AI agent testing. See the comparison table for live GitHub stats and shared categories. ### When should I choose future-agi over langwatch? Choose future-agi over langwatch when future-agi is primarily Python; langwatch is TypeScript; 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, simulation; 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 choose langwatch over future-agi? Choose langwatch over future-agi when langwatch is primarily TypeScript; future-agi is Python; Pricing: Open-source editions are free with restrictions on certain advanced features that require a commercial license.; Tags unique to langwatch: ai, analytics, datasets, evaluation; You need to evaluate LLMs and test AI agents in a controlled environment. ### 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'. ### When should I avoid langwatch? If you are looking for an out-of-the-box service without the complexity of setting up your own infrastructure, since LangWatch heavily leans towards self-hosting. You do not require advanced enterprise features like SCIM, audit logs, license management, as these features require a commercial license. ### Is future-agi or langwatch more popular on GitHub? langwatch has more GitHub stars (3,479 vs 1,559). Stars measure visibility, not whether either tool fits your constraints. ### Are future-agi and langwatch open source? Yes - both are open-source projects on GitHub (future-agi: Apache-2.0, langwatch: Apache-2.0). ### Where can I find alternatives to future-agi or langwatch? GraphCanon lists graph-backed alternatives at [future-agi alternatives](/tools/future-agi-future-agi/alternatives) and [langwatch alternatives](/tools/langwatch-langwatch/alternatives) ([future-agi markdown twin](/tools/future-agi-future-agi/alternatives.md), [langwatch markdown twin](/tools/langwatch-langwatch/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/future-agi-future-agi-vs-langwatch-langwatch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, future-agi or langwatch? future-agi: Very active. langwatch: 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 future-agi and langwatch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [future-agi trust report](/tools/future-agi-future-agi/trust); [langwatch trust report](/tools/langwatch-langwatch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=future-agi-future-agi`](/api/graphcanon/graph?tool=future-agi-future-agi) - 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/_