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Comparison

core vs agenticSeek

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.

Markdown twin · core alternatives · agenticSeek alternatives

GraphCanon updated Sep 20, 2026

10views this month

core logo

core

cheshire-cat-ai/core

★ 3.1kpushed Jul 29, 2026
vs
agenticSeek logo

agenticSeek

Fosowl/agenticSeek

★ 27kpushed Sep 13, 2026

Trust & integrity

SignalcoreagenticSeek
Maintenance
Steady (50d since push)
As of Sep 18, 2026 · github_public_v1
Very active (4d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 20, 2026 · osv@v1
Published findings
As of Sep 18, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1
core trust reportagenticSeek trust reportTrust methodology

Tagline

core
AI agent microservice
agenticSeek
Autonomous agent for local AI tasks, web browsing, and coding

Stars

core
3.1k
agenticSeek
27k

Forks

core
409
agenticSeek
3.0k

Open issues

core
11
agenticSeek
27

Language

core
Python
agenticSeek
Python

Adopt for

core
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
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

core
-
agenticSeek
-

Runtime

core
-
agenticSeek
-

License

core
GPL-3.0, which is a copyleft license requiring that any derivative works be released under the same license.
agenticSeek
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.

Last pushed

core
Jul 29, 2026
agenticSeek
Sep 13, 2026

Categories

core
AI Agents
agenticSeek
AI Agents, LLM Frameworks

Trust and health

Maintenance

core
Steady (60%)
agenticSeek
Very active (96%)

Days since push

core
50d
agenticSeek
4d

Open issues (now)

core
11
agenticSeek
27

Stars delta

core
+5 (30d)
agenticSeek
+374 (30d)

Open issues delta

core
+3 (30d)
agenticSeek
-8 (30d)

Owner type

core
Organization
agenticSeek
User

OSV dependency advisories

core
No lockfile (source not queried)
agenticSeek
Published findings

Full report

core
Trust report
agenticSeek
Trust report

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.

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.
GitHubDetails

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 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.
GitHubDetails

Explore

core trust report →agenticSeek trust report →AI Agents category →LLM Frameworks category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: core 3.1k · agenticSeek 27k (synced Sep 20, 2026).

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 and agenticSeek alternatives (core markdown twin, agenticSeek markdown twin), 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 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; agenticSeek trust report.

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