--- title: "future-agi vs ChainForge" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/future-agi-future-agi-vs-ianarawjo-chainforge" tools: ["future-agi-future-agi", "ianarawjo-chainforge"] --- # future-agi vs ChainForge *GraphCanon updated Sep 20, 2026* ## 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 ChainForge if web-based visual programming tool for prompt testing on LLMs; supports local installation and Docker for advanced feature access. [future-agi](https://futureagi.com) reports 2.0k GitHub stars, 627 forks, and 961 open issues, last pushed Sep 18, 2026. [ChainForge](https://chainforge.ai/docs) has 3.0k stars, 257 forks, and 70 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [future-agi's repository](https://github.com/future-agi/future-agi) and [ChainForge's repository](https://github.com/ianarawjo/ChainForge). | | [future-agi](/tools/future-agi-future-agi.md) | [ChainForge](/tools/ianarawjo-chainforge.md) | | --- | --- | --- | | Tagline | Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications | An open-source visual programming environment for battle-testing prompts to LLMs. | | Stars | 2,032 | 3,030 | | Forks | 627 | 257 | | Open issues | 961 | 70 | | Language | Python | TypeScript | | 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, | Web-based visual programming tool for prompt testing on LLMs; supports local installation and Docker for advanced feature access. | | Persona | - | - | | Runtime | - | - | | 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. | MIT | | Categories | AI Agents, Evaluation & Observability, LLM Frameworks | Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [future-agi](/tools/future-agi-future-agi.md) | [ChainForge](/tools/ianarawjo-chainforge.md) | | --- | --- | --- | | Open issues (now) | 961 | 70 | | Stars delta | +473 (30d) | +3 (30d) | | Open issues delta | +365 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/future-agi-future-agi/trust.md) | [trust report](/tools/ianarawjo-chainforge/trust.md) | ## 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. ## Decision facts: ChainForge - **Adopt for:** Web-based visual programming tool for prompt testing on LLMs; supports local installation and Docker for advanced feature access. ## Choose when ### Choose future-agi if… - future-agi is primarily Python; ChainForge is TypeScript. - License: future-agi is Apache-2.0, ChainForge 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 AI Agents. - You need a self-hostable solution that does not phone home, ensuring full control over your data and evaluation logic. ### Choose ChainForge if… - ChainForge is primarily TypeScript; future-agi is Python. - License: ChainForge is MIT, future-agi is Apache-2.0. - Tags unique to ChainForge: ai, evaluation, large-language-models, llmops. - Need extensive features beyond web limitations ## 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. ## When NOT to use ChainForge - Looking for a solution without local setup or Docker support - Prefer not managing API keys via environment variable configuration ## Common questions ### What is the difference between future-agi and ChainForge? future-agi: Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. ChainForge: An open-source visual programming environment for battle-testing prompts to LLMs.. See the comparison table for live GitHub stats and shared categories. ### When should I choose future-agi over ChainForge? Choose future-agi over ChainForge when future-agi is primarily Python; ChainForge is TypeScript; License: future-agi is Apache-2.0, ChainForge 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 AI Agents; You need a self-hostable solution that does not phone home, ensuring full control over your data and evaluation logic. ### When should I choose ChainForge over future-agi? Choose ChainForge over future-agi when ChainForge is primarily TypeScript; future-agi is Python; License: ChainForge is MIT, future-agi is Apache-2.0; Tags unique to ChainForge: ai, evaluation, large-language-models, llmops; Need extensive features beyond web limitations. ### 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 ChainForge? Looking for a solution without local setup or Docker support Prefer not managing API keys via environment variable configuration ### Is future-agi or ChainForge more popular on GitHub? ChainForge has more GitHub stars (3,030 vs 2,032). Stars measure visibility, not whether either tool fits your constraints. ### Are future-agi and ChainForge open source? Yes - both are open-source projects on GitHub (future-agi: Apache-2.0, ChainForge: MIT). ### Where can I find alternatives to future-agi or ChainForge? GraphCanon lists graph-backed alternatives at [future-agi alternatives](/tools/future-agi-future-agi/alternatives) and [ChainForge alternatives](/tools/ianarawjo-chainforge/alternatives) ([future-agi markdown twin](/tools/future-agi-future-agi/alternatives.md), [ChainForge markdown twin](/tools/ianarawjo-chainforge/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-ianarawjo-chainforge.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, future-agi or ChainForge? future-agi: Very active. ChainForge: 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 ChainForge? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [future-agi trust report](/tools/future-agi-future-agi/trust); [ChainForge trust report](/tools/ianarawjo-chainforge/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/_