--- title: "future-agi vs imcodes" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/future-agi-future-agi-vs-im4codes-imcodes" tools: ["future-agi-future-agi", "im4codes-imcodes"] --- # future-agi vs imcodes *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 imcodes if imcodes provides shared context and memory for AI agents with supervised execution across multiple providers like Claude, Codex, Gemini, and OpenAI. [future-agi](https://futureagi.com) reports 2.0k GitHub stars, 627 forks, and 961 open issues, last pushed Sep 18, 2026. [imcodes](https://im.codes) has 973 stars, 121 forks, and 2 open issues, last pushed Sep 20, 2026. Figures are from public GitHub metadata via [future-agi's repository](https://github.com/future-agi/future-agi) and [imcodes's repository](https://github.com/im4codes/imcodes). | | [future-agi](/tools/future-agi-future-agi.md) | [imcodes](/tools/im4codes-imcodes.md) | | --- | --- | --- | | Tagline | Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications | Shared Agent Context & Memory with Supervised Execution | | Stars | 2,032 | 973 | | Forks | 627 | 121 | | Open issues | 961 | 2 | | 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, | imcodes provides shared context and memory for AI agents with supervised execution across multiple providers like Claude, Codex, Gemini, and OpenAI. | | 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. | Available under the MIT License, permitting free use, modification, distribution, but not liable for any damages or problems derived from its usage. | | Categories | AI Agents, Evaluation & Observability, LLM Frameworks | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [future-agi](/tools/future-agi-future-agi.md) | [imcodes](/tools/im4codes-imcodes.md) | | --- | --- | --- | | Open issues (now) | 961 | 2 | | Stars delta | +473 (30d) | -43 (30d) | | Open issues delta | +365 (30d) | +2 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/future-agi-future-agi/trust.md) | [trust report](/tools/im4codes-imcodes/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: imcodes - **Requirements:** Developed using TypeScript, potentially requiring a development team familiar with TypeScript and node.js ecosystems. - **Adopt for:** imcodes provides shared context and memory for AI agents with supervised execution across multiple providers like Claude, Codex, Gemini, and OpenAI. - **License detail:** Available under the MIT License, permitting free use, modification, distribution, but not liable for any damages or problems derived from its usage. ## Choose when ### Choose future-agi if… - future-agi is primarily Python; imcodes is TypeScript. - License: future-agi is Apache-2.0, imcodes 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-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. ### Choose imcodes if… - imcodes is primarily TypeScript; future-agi is Python. - License: imcodes is MIT, future-agi is Apache-2.0. - Requirements: Developed using TypeScript, potentially requiring a development team familiar with TypeScript and node.js ecosystems.. - Tags unique to imcodes: automation, claude, codex, cross-agent-audit. - imcodes ships an MCP server manifest. - When you need to manage unified memory and context across different AI agent providers for consistent performance evaluation and inter-agent cooperation. ## 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 imcodes - If your project strictly requires proprietary tooling that does not allow cross-provider usage or if you aim to avoid external memory management for security reasons. - When the integration complexity of supporting multiple providers is a barrier, and you prefer simpler, single-provider solutions with less overhead in terms of setup and maintenance. ## Common questions ### What is the difference between future-agi and imcodes? future-agi: Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. imcodes: Shared Agent Context & Memory with Supervised Execution. See the comparison table for live GitHub stats and shared categories. ### When should I choose future-agi over imcodes? Choose future-agi over imcodes when future-agi is primarily Python; imcodes is TypeScript; License: future-agi is Apache-2.0, imcodes 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-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 choose imcodes over future-agi? Choose imcodes over future-agi when imcodes is primarily TypeScript; future-agi is Python; License: imcodes is MIT, future-agi is Apache-2.0; Requirements: Developed using TypeScript, potentially requiring a development team familiar with TypeScript and node.js ecosystems.; Tags unique to imcodes: automation, claude, codex, cross-agent-audit; imcodes ships an MCP server manifest; When you need to manage unified memory and context across different AI agent providers for consistent performance evaluation and inter-agent cooperation. ### 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 imcodes? If your project strictly requires proprietary tooling that does not allow cross-provider usage or if you aim to avoid external memory management for security reasons. When the integration complexity of supporting multiple providers is a barrier, and you prefer simpler, single-provider solutions with less overhead in terms of setup and maintenance. ### Is future-agi or imcodes more popular on GitHub? future-agi has more GitHub stars (2,032 vs 973). Stars measure visibility, not whether either tool fits your constraints. ### Are future-agi and imcodes open source? Yes - both are open-source projects on GitHub (future-agi: Apache-2.0, imcodes: MIT). ### Where can I find alternatives to future-agi or imcodes? GraphCanon lists graph-backed alternatives at [future-agi alternatives](/tools/future-agi-future-agi/alternatives) and [imcodes alternatives](/tools/im4codes-imcodes/alternatives) ([future-agi markdown twin](/tools/future-agi-future-agi/alternatives.md), [imcodes markdown twin](/tools/im4codes-imcodes/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-im4codes-imcodes.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, future-agi or imcodes? future-agi: Very active. imcodes: 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 imcodes? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [future-agi trust report](/tools/future-agi-future-agi/trust); [imcodes trust report](/tools/im4codes-imcodes/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/_