--- title: "agentos vs openakita" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/framerslab-agentos-vs-openakita-openakita" tools: ["framerslab-agentos", "openakita-openakita"] --- # agentos vs openakita *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 openakita if decision-relevant data on OpenAkita. [agentos](https://docs.agentos.sh) reports 670 GitHub stars, 97 forks, and 11 open issues, last pushed Sep 18, 2026. [openakita](http://openakita.ai) has 2.0k stars, 277 forks, and 42 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [agentos's repository](https://github.com/framerslab/agentos) and [openakita's repository](https://github.com/openakita/openakita). | | [agentos](/tools/framerslab-agentos.md) | [openakita](/tools/openakita-openakita.md) | | --- | --- | --- | | Tagline | TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration | An open-source AI assistant framework with skills and agent architecture | | Stars | 670 | 1,986 | | Forks | 97 | 277 | | Open issues | 11 | 42 | | Language | TypeScript | Python | | Adopt for | AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. | Decision-relevant data on OpenAkita | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | AGPL-3.0 | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentos](/tools/framerslab-agentos.md) | [openakita](/tools/openakita-openakita.md) | | --- | --- | --- | | Open issues (now) | 11 | 42 | | Stars delta | +69 (30d) | +31 (30d) | | Open issues delta | +2 (30d) | +1 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/framerslab-agentos/trust.md) | [trust report](/tools/openakita-openakita/trust.md) | ## Decision facts: agentos - **Adopt for:** AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. ## Decision facts: openakita - **Adopt for:** Decision-relevant data on OpenAkita ## Choose when ### Choose agentos if… - agentos is primarily TypeScript; openakita is Python. - License: agentos is Apache-2.0, openakita is AGPL-3.0. - 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 openakita if… - openakita is primarily Python; agentos is TypeScript. - License: openakita is AGPL-3.0, agentos is Apache-2.0. - Tags unique to openakita: agent, ai, assistant, automation. - openakita ships Docker support for self-hosted deployment. - For developing agents that can be customized with specific modular skills suitable for diverse assistant tasks ## 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 openakita - Avoid if proprietary or non-open source solutions are preferred as OpenAkita's AGPL-3.0 license mandates sharing modifications publicly - Consider alternatives if a less modular approach is desired, since OpenAkita strongly emphasizes a skills-based agent architecture which may complicate straightforward integrations ## Common questions ### What is the difference between agentos and openakita? agentos: TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration. openakita: An open-source AI assistant framework with skills and agent architecture. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentos over openakita? Choose agentos over openakita when agentos is primarily TypeScript; openakita is Python; License: agentos is Apache-2.0, openakita is AGPL-3.0; 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 openakita over agentos? Choose openakita over agentos when openakita is primarily Python; agentos is TypeScript; License: openakita is AGPL-3.0, agentos is Apache-2.0; Tags unique to openakita: agent, ai, assistant, automation; openakita ships Docker support for self-hosted deployment; For developing agents that can be customized with specific modular skills suitable for diverse assistant tasks. ### 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 openakita? Avoid if proprietary or non-open source solutions are preferred as OpenAkita's AGPL-3.0 license mandates sharing modifications publicly Consider alternatives if a less modular approach is desired, since OpenAkita strongly emphasizes a skills-based agent architecture which may complicate straightforward integrations ### Is agentos or openakita more popular on GitHub? openakita has more GitHub stars (1,986 vs 670). Stars measure visibility, not whether either tool fits your constraints. ### Are agentos and openakita open source? Yes - both are open-source projects on GitHub (agentos: Apache-2.0, openakita: AGPL-3.0). ### Where can I find alternatives to agentos or openakita? GraphCanon lists graph-backed alternatives at [agentos alternatives](/tools/framerslab-agentos/alternatives) and [openakita alternatives](/tools/openakita-openakita/alternatives) ([agentos markdown twin](/tools/framerslab-agentos/alternatives.md), [openakita markdown twin](/tools/openakita-openakita/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-openakita-openakita.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentos or openakita? agentos: Very active. openakita: 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 openakita? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentos trust report](/tools/framerslab-agentos/trust); [openakita trust report](/tools/openakita-openakita/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/_