--- title: "agentos vs imcodes" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/framerslab-agentos-vs-im4codes-imcodes" tools: ["framerslab-agentos", "im4codes-imcodes"] --- # agentos vs imcodes *GraphCanon updated Sep 20, 2026* ## Verdict Pick agentos if agentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript; pick imcodes if imcodes provides shared context and memory for AI agents with supervised execution across multiple providers like Claude, Codex, Gemini, and OpenAI. [agentos](https://docs.agentos.sh) reports 670 GitHub stars, 97 forks, and 11 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 [agentos's repository](https://github.com/framerslab/agentos) and [imcodes's repository](https://github.com/im4codes/imcodes). | | [agentos](/tools/framerslab-agentos.md) | [imcodes](/tools/im4codes-imcodes.md) | | --- | --- | --- | | Tagline | TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration | Shared Agent Context & Memory with Supervised Execution | | Stars | 670 | 973 | | Forks | 97 | 121 | | Open issues | 11 | 2 | | Language | TypeScript | TypeScript | | Adopt for | AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. | 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-2.0 | 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 | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentos](/tools/framerslab-agentos.md) | [imcodes](/tools/im4codes-imcodes.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 11 | 2 | | Stars delta | +69 (30d) | -43 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/framerslab-agentos/trust.md) | [trust report](/tools/im4codes-imcodes/trust.md) | ## Shared compatibility - **Node.js**: [agentos](/tools/framerslab-agentos.md) - Node.js runtime; [imcodes](/tools/im4codes-imcodes.md) - Node.js runtime ## Decision facts: agentos - **Adopt for:** AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. ## 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 agentos if… - License: agentos is Apache-2.0, imcodes is MIT. - Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent. - Need for cognitive memory and real-time tool generation in AI agents ### Choose imcodes if… - License: imcodes is MIT, agentos is Apache-2.0. - Requirements: Developed using TypeScript, potentially requiring a development team familiar with TypeScript and node.js ecosystems.. - Tags unique to imcodes: ai-agents, automation, claude, codex. - Also covers Evaluation & Observability. - imcodes ships Docker support for self-hosted deployment. - 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 agentos - Preferring frameworks without multi-agent orchestration support - Prioritizing environments with less than eleven LLM provider options ## 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 agentos and imcodes? agentos: TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration. imcodes: Shared Agent Context & Memory with Supervised Execution. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentos over imcodes? Choose agentos over imcodes when License: agentos is Apache-2.0, imcodes is MIT; Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent; Need for cognitive memory and real-time tool generation in AI agents. ### When should I choose imcodes over agentos? Choose imcodes over agentos when License: imcodes is MIT, agentos is Apache-2.0; Requirements: Developed using TypeScript, potentially requiring a development team familiar with TypeScript and node.js ecosystems.; Tags unique to imcodes: ai-agents, automation, claude, codex; Also covers Evaluation & Observability; imcodes ships Docker support for self-hosted deployment; 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 agentos? Preferring frameworks without multi-agent orchestration support Prioritizing environments with less than eleven LLM provider options ### 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 agentos or imcodes more popular on GitHub? imcodes has more GitHub stars (973 vs 670). Stars measure visibility, not whether either tool fits your constraints. ### Are agentos and imcodes open source? Yes - both are open-source projects on GitHub (agentos: Apache-2.0, imcodes: MIT). ### Where can I find alternatives to agentos or imcodes? GraphCanon lists graph-backed alternatives at [agentos alternatives](/tools/framerslab-agentos/alternatives) and [imcodes alternatives](/tools/im4codes-imcodes/alternatives) ([agentos markdown twin](/tools/framerslab-agentos/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/framerslab-agentos-vs-im4codes-imcodes.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentos or imcodes? agentos: 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 agentos and imcodes? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentos trust report](/tools/framerslab-agentos/trust); [imcodes trust report](/tools/im4codes-imcodes/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=framerslab-agentos`](/api/graphcanon/graph?tool=framerslab-agentos) - 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/_