--- title: "core vs agenticSeek" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/cheshire-cat-ai-core-vs-fosowl-agenticseek" tools: ["cheshire-cat-ai-core", "fosowl-agenticseek"] --- # core vs agenticSeek *GraphCanon updated Sep 20, 2026* ## Verdict Pick core if cheshire Cat AI, an AI agent microservice, is built in Python and supports function-calling and vector search, making it suitable for projects that require conversational AI capabilities with these features; pick agenticSeek if agenticSeek is a fully local AI agent that operates autonomously, capable of web browsing and coding without relying on external APIs or high-cost subscriptions. [core](https://cheshirecat.ai) reports 3.1k GitHub stars, 409 forks, and 11 open issues, last pushed Jul 29, 2026. [agenticSeek](http://agenticseek.tech) has 27k stars, 3.0k forks, and 27 open issues, last pushed Sep 13, 2026. Figures are from public GitHub metadata via [core's repository](https://github.com/cheshire-cat-ai/core) and [agenticSeek's repository](https://github.com/Fosowl/agenticSeek). | | [core](/tools/cheshire-cat-ai-core.md) | [agenticSeek](/tools/fosowl-agenticseek.md) | | --- | --- | --- | | Tagline | AI agent microservice | Autonomous agent for local AI tasks, web browsing, and coding | | Stars | 3,086 | 27,244 | | Forks | 409 | 3,050 | | Open issues | 11 | 27 | | Language | Python | Python | | Adopt for | Cheshire Cat AI, an AI agent microservice, is built in Python and supports function-calling and vector search, making it suitable for projects that require conversational AI capabilities with these features. | agenticSeek is a fully local AI agent that operates autonomously, capable of web browsing and coding without relying on external APIs or high-cost subscriptions. | | Persona | - | - | | Runtime | - | - | | License | GPL-3.0, which is a copyleft license requiring that any derivative works be released under the same license. | agenticSeek is licensed under the GPL-3.0 license, which is a copyleft license that requires derivative works to be released under the same license terms. | | Categories | AI Agents | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [core](/tools/cheshire-cat-ai-core.md) | [agenticSeek](/tools/fosowl-agenticseek.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 50d | 4d | | Open issues (now) | 11 | 27 | | Stars delta | +5 (30d) | +374 (30d) | | Open issues delta | +3 (30d) | -8 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/cheshire-cat-ai-core/trust.md) | [trust report](/tools/fosowl-agenticseek/trust.md) | ## Decision facts: core - **Pricing:** freemium - The code is free and open-source under GPL-3.0, but any derivative works must also be open-source. - **Requirements:** Min 2 GB RAM; Requires Docker; Requires Docker for deployment. - **Adopt for:** Cheshire Cat AI, an AI agent microservice, is built in Python and supports function-calling and vector search, making it suitable for projects that require conversational AI capabilities with these features. - **License detail:** GPL-3.0, which is a copyleft license requiring that any derivative works be released under the same license. ## Decision facts: agenticSeek - **Pricing:** freemium - agenticSeek is free to use, but users must cover the cost of running the software on their local hardware. - **Adopt for:** agenticSeek is a fully local AI agent that operates autonomously, capable of web browsing and coding without relying on external APIs or high-cost subscriptions. - **License detail:** agenticSeek is licensed under the GPL-3.0 license, which is a copyleft license that requires derivative works to be released under the same license terms. ## Choose when ### Choose core if… - Pricing: The code is free and open-source under GPL-3.0, but any derivative works must also be open-source.. - Requirements: Min 2 GB RAM; Requires Docker; Requires Docker for deployment.. - Tags unique to core: ag-ui-protocol, agent, assistant, chatbot. - Use Cheshire Cat AI when you need a microservice that supports function-calling and vector search, as it is specifically designed with these features. ### Choose agenticSeek if… - Pricing: agenticSeek is free to use, but users must cover the cost of running the software on their local hardware.. - Tags unique to agenticSeek: agentic-ai, agents, autonomous-agents, deepseek-r1. - Also covers LLM Frameworks. - agenticSeek ships Docker support for self-hosted deployment. - Use agenticSeek when you need a fully local AI agent that can perform autonomous tasks, web browsing, and coding without the need for external APIs or high-cost subscriptions. ## When NOT to use core - Avoid using Cheshire Cat AI if your project requires proprietary licensing, as it is licensed under GPL-3.0, which may not be compatible with proprietary software. - Do not use it if your project does not require or benefit from function-calling or vector search capabilities, as these are core features of Cheshire Cat AI. ## When NOT to use agenticSeek - Avoid using agenticSeek if your hardware cannot support running LLMs locally, as it does not provide an option to use external APIs for LLM services. - Do not use agenticSeek if you require stealth mode for web browsing, as the Docker volume mount approach may not work with `undetected_chromedriver`. - If you need to run agenticSeek in an environment where the Docker bridge cannot connect to the host's Ollama server, this tool may not be suitable without additional configuration. ## Common questions ### What is the difference between core and agenticSeek? core: AI agent microservice. agenticSeek: Autonomous agent for local AI tasks, web browsing, and coding. See the comparison table for live GitHub stats and shared categories. ### When should I choose core over agenticSeek? Choose core over agenticSeek when Pricing: The code is free and open-source under GPL-3.0, but any derivative works must also be open-source.; Requirements: Min 2 GB RAM; Requires Docker; Requires Docker for deployment.; Tags unique to core: ag-ui-protocol, agent, assistant, chatbot; Use Cheshire Cat AI when you need a microservice that supports function-calling and vector search, as it is specifically designed with these features. ### When should I choose agenticSeek over core? Choose agenticSeek over core when Pricing: agenticSeek is free to use, but users must cover the cost of running the software on their local hardware.; Tags unique to agenticSeek: agentic-ai, agents, autonomous-agents, deepseek-r1; Also covers LLM Frameworks; agenticSeek ships Docker support for self-hosted deployment; Use agenticSeek when you need a fully local AI agent that can perform autonomous tasks, web browsing, and coding without the need for external APIs or high-cost subscriptions. ### When should I avoid core? Avoid using Cheshire Cat AI if your project requires proprietary licensing, as it is licensed under GPL-3.0, which may not be compatible with proprietary software. Do not use it if your project does not require or benefit from function-calling or vector search capabilities, as these are core features of Cheshire Cat AI. ### When should I avoid agenticSeek? Avoid using agenticSeek if your hardware cannot support running LLMs locally, as it does not provide an option to use external APIs for LLM services. Do not use agenticSeek if you require stealth mode for web browsing, as the Docker volume mount approach may not work with `undetected_chromedriver`. If you need to run agenticSeek in an environment where the Docker bridge cannot connect to the host's Ollama server, this tool may not be suitable without additional configuration. ### Is core or agenticSeek more popular on GitHub? agenticSeek has more GitHub stars (27,244 vs 3,086). Stars measure visibility, not whether either tool fits your constraints. ### Are core and agenticSeek open source? Yes - both are open-source projects on GitHub (core: GPL-3.0, agenticSeek: GPL-3.0). ### Where can I find alternatives to core or agenticSeek? GraphCanon lists graph-backed alternatives at [core alternatives](/tools/cheshire-cat-ai-core/alternatives) and [agenticSeek alternatives](/tools/fosowl-agenticseek/alternatives) ([core markdown twin](/tools/cheshire-cat-ai-core/alternatives.md), [agenticSeek markdown twin](/tools/fosowl-agenticseek/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/cheshire-cat-ai-core-vs-fosowl-agenticseek.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, core or agenticSeek? core: Steady. agenticSeek: 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 core and agenticSeek? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [core trust report](/tools/cheshire-cat-ai-core/trust); [agenticSeek trust report](/tools/fosowl-agenticseek/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=cheshire-cat-ai-core`](/api/graphcanon/graph?tool=cheshire-cat-ai-core) - 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/_