--- title: "Agently vs agenticSeek" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentera-agently-vs-fosowl-agenticseek" tools: ["agentera-agently", "fosowl-agenticseek"] --- # Agently vs agenticSeek *GraphCanon updated Sep 30, 2026* ## Verdict Pick Agently if agently is a GenAI application development framework that simplifies the interaction with GenAI agents through structured data and chained-calls syntax, supporting event-driven flow and seamless model switching; 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. [Agently](http://agently.tech) reports 1.7k GitHub stars, 181 forks, and 16 open issues, last pushed Sep 12, 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 [Agently's repository](https://github.com/AgentEra/Agently) and [agenticSeek's repository](https://github.com/Fosowl/agenticSeek). | | [Agently](/tools/agentera-agently.md) | [agenticSeek](/tools/fosowl-agenticseek.md) | | --- | --- | --- | | Tagline | Build GenAI application quick and easy | Autonomous agent for local AI tasks, web browsing, and coding | | Stars | 1,652 | 27,244 | | Forks | 181 | 3,050 | | Open issues | 16 | 27 | | Language | Python | Python | | Adopt for | Agently is a GenAI application development framework that simplifies the interaction with GenAI agents through structured data and chained-calls syntax, supporting event-driven flow and seamless model switching. | 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 | Agently is available under the Apache-2.0 license for its open-source core, with additional enterprise extensions and services available through separate commercial agreements. | 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, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Agently](/tools/agentera-agently.md) | [agenticSeek](/tools/fosowl-agenticseek.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 7d | 4d | | Open issues (now) | 16 | 27 | | Stars delta | +15 (30d) | +374 (30d) | | Open issues delta | +2 (30d) | -8 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/agentera-agently/trust.md) | [trust report](/tools/fosowl-agenticseek/trust.md) | ## Decision facts: Agently - **Pricing:** freemium - The core of Agently is open-source and free to use under the Apache-2.0 license, but enterprise extensions and services are available through commercial agreements. - **Requirements:** Min 2 GB RAM; Agently is a Python-based framework, requiring a Python environment to run. - **Adopt for:** Agently is a GenAI application development framework that simplifies the interaction with GenAI agents through structured data and chained-calls syntax, supporting event-driven flow and seamless model switching. - **License detail:** Agently is available under the Apache-2.0 license for its open-source core, with additional enterprise extensions and services available through separate commercial agreements. ## 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 Agently if… - License: Agently is Apache-2.0, agenticSeek is GPL-3.0. - Pricing: The core of Agently is open-source and free to use under the Apache-2.0 license, but enterprise extensions and services are available through commercial agreements.. - Requirements: Min 2 GB RAM; Agently is a Python-based framework, requiring a Python environment to run.. - Tags unique to Agently: agent, agent-based-framework, agent-framework, chatglm. - When you need to develop GenAI applications quickly and easily, leveraging structured data and chained-calls syntax for agent interaction. ### Choose agenticSeek if… - License: agenticSeek is GPL-3.0, Agently is Apache-2.0. - 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, ai, autonomous-agents. - 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 Agently - If your project does not require interaction with GenAI agents or does not benefit from structured data and chained-calls syntax. - If your application does not need an event-driven flow or if you prefer a different approach to manage complex logic. - When you are working with a specific GenAI model and do not anticipate needing to switch models, Agently's model-switching feature may not be necessary. ## 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 Agently and agenticSeek? Agently: Build GenAI application quick and easy. 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 Agently over agenticSeek? Choose Agently over agenticSeek when License: Agently is Apache-2.0, agenticSeek is GPL-3.0; Pricing: The core of Agently is open-source and free to use under the Apache-2.0 license, but enterprise extensions and services are available through commercial agreements.; Requirements: Min 2 GB RAM; Agently is a Python-based framework, requiring a Python environment to run.; Tags unique to Agently: agent, agent-based-framework, agent-framework, chatglm; When you need to develop GenAI applications quickly and easily, leveraging structured data and chained-calls syntax for agent interaction. ### When should I choose agenticSeek over Agently? Choose agenticSeek over Agently when License: agenticSeek is GPL-3.0, Agently is Apache-2.0; 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, ai, autonomous-agents; 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 Agently? If your project does not require interaction with GenAI agents or does not benefit from structured data and chained-calls syntax. If your application does not need an event-driven flow or if you prefer a different approach to manage complex logic. When you are working with a specific GenAI model and do not anticipate needing to switch models, Agently's model-switching feature may not be necessary. ### 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 Agently or agenticSeek more popular on GitHub? agenticSeek has more GitHub stars (27,244 vs 1,652). Stars measure visibility, not whether either tool fits your constraints. ### Are Agently and agenticSeek open source? Yes - both are open-source projects on GitHub (Agently: Apache-2.0, agenticSeek: GPL-3.0). ### Where can I find alternatives to Agently or agenticSeek? GraphCanon lists graph-backed alternatives at [Agently alternatives](/tools/agentera-agently/alternatives) and [agenticSeek alternatives](/tools/fosowl-agenticseek/alternatives) ([Agently markdown twin](/tools/agentera-agently/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/agentera-agently-vs-fosowl-agenticseek.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Agently or agenticSeek? Agently: Active. 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 Agently and agenticSeek? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Agently trust report](/tools/agentera-agently/trust); [agenticSeek trust report](/tools/fosowl-agenticseek/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agentera-agently`](/api/graphcanon/graph?tool=agentera-agently) - 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/_