Home/Compare/agenticSeek vs agency

Comparison

agenticSeek vs agency

Verdict

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; pick agency if agency is a Go-idiomatic library aimed at developers looking to work with Large Language Models and generative AI techniques.

Markdown twin · agenticSeek alternatives · agency alternatives

GraphCanon updated Sep 20, 2026

7views this month

agenticSeek logo

agenticSeek

Fosowl/agenticSeek

★ 27kpushed Sep 13, 2026
vs
agency logo

agency

neurocult/agency

★ 514pushed Jan 8, 2025

Trust & integrity

SignalagenticSeekagency
Maintenance
Very active (4d since push)
As of Sep 18, 2026 · github_public_v1
Dormant (619d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Sep 18, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 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

Tagline

agenticSeek
Autonomous agent for local AI tasks, web browsing, and coding
agency
Library for exploring Large Language Models and generative AI in Go

Stars

agenticSeek
27k
agency
514

Forks

agenticSeek
3.0k
agency
36

Open issues

agenticSeek
27
agency
4

Language

agenticSeek
Python
agency
Go

Adopt for

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.
agency
Agency is a Go-idiomatic library aimed at developers looking to work with Large Language Models and generative AI techniques.

Persona

agenticSeek
-
agency
-

Runtime

agenticSeek
-
agency
-

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.
agency
MIT

Last pushed

agenticSeek
Sep 13, 2026
agency
Jan 8, 2025

Categories

agenticSeek
AI Agents, LLM Frameworks
agency
AI Agents, LLM Frameworks

Trust and health

Maintenance

agenticSeek
Very active (96%)
agency
Dormant (18%)

Days since push

agenticSeek
4d
agency
619d

Open issues (now)

agenticSeek
27
agency
4

Stars delta

agenticSeek
+374 (30d)
agency
+2 (30d)

Open issues delta

agenticSeek
-8 (30d)
agency
0 (30d)

Owner type

agenticSeek
User
agency
Organization

OSV dependency advisories

agenticSeek
Published findings
agency
No lockfile (source not queried)

Full report

agenticSeek
Trust report

Choose agenticSeek if…

  • agenticSeek is primarily Python; agency is Go.
  • License: agenticSeek is GPL-3.0, agency is MIT.
  • 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, ai, autonomous-agents, deepseek-r1.
  • 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.

Choose agency if…

  • agency is primarily Go; agenticSeek is Python.
  • License: agency is MIT, agenticSeek is GPL-3.0.
  • Pricing: Agency is available under MIT license and is free for use, modification, and distribution. Additional services or integrations might involve costs not outlined within the repository..
  • Tags unique to agency: generative-ai, go, language models, neural-networks.
  • If you're proficient in Go and want to implement LLMs within a familiar ecosystem, consider agency.

When NOT to use agency

  • Avoid agency if your primary programming expertise lies outside of the Go ecosystem.
  • Not recommended if you require real-time performance characteristics that surpass what typical LLM exploration libraries can provide.

Explore

Sources

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

GitHub stars on cards: agenticSeek 27k · agency 514 (synced Sep 20, 2026).

Common questions

What is the difference between agenticSeek and agency?
agenticSeek: Autonomous agent for local AI tasks, web browsing, and coding. agency: Library for exploring Large Language Models and generative AI in Go. See the comparison table for live GitHub stats and shared categories.
When should I choose agenticSeek over agency?
Choose agenticSeek over agency when agenticSeek is primarily Python; agency is Go; License: agenticSeek is GPL-3.0, agency is MIT; 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, ai, autonomous-agents, deepseek-r1; 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 choose agency over agenticSeek?
Choose agency over agenticSeek when agency is primarily Go; agenticSeek is Python; License: agency is MIT, agenticSeek is GPL-3.0; Pricing: Agency is available under MIT license and is free for use, modification, and distribution. Additional services or integrations might involve costs not outlined within the repository.; Tags unique to agency: generative-ai, go, language models, neural-networks; If you're proficient in Go and want to implement LLMs within a familiar ecosystem, consider agency.
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.
When should I avoid agency?
Avoid agency if your primary programming expertise lies outside of the Go ecosystem. Not recommended if you require real-time performance characteristics that surpass what typical LLM exploration libraries can provide.
Is agenticSeek or agency more popular on GitHub?
agenticSeek has more GitHub stars (27,244 vs 514). Stars measure visibility, not whether either tool fits your constraints.
Are agenticSeek and agency open source?
Yes - both are open-source projects on GitHub (agenticSeek: GPL-3.0, agency: MIT).
Where can I find alternatives to agenticSeek or agency?
GraphCanon lists graph-backed alternatives at agenticSeek alternatives and agency alternatives (agenticSeek markdown twin, agency 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, agenticSeek or agency?
agenticSeek: Very active. agency: Dormant. 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 agenticSeek and agency?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agenticSeek trust report; agency trust report.

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