Comparison
lagent vs agency
Verdict
Pick lagent if lagent is a Python framework aimed at streamlining the creation of lightweight Large Language Model (LLM) agents; 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 · lagent alternatives · agency alternatives
GraphCanon updated today
Trust & integrity
| Signal | lagent | agency |
|---|---|---|
| Maintenance | Active (12d since push) As of 5d · github_public_v1 | Dormant (589d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 5d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- lagent
- A lightweight framework for building LLM-based agents
- agency
- Library for exploring Large Language Models and generative AI in Go
Stars
- lagent
- 2.3k
- agency
- 514
Forks
- lagent
- 238
- agency
- 36
Open issues
- lagent
- 24
- agency
- 4
Language
- lagent
- Python
- agency
- Go
Adopt for
- lagent
- lagent is a Python framework aimed at streamlining the creation of lightweight Large Language Model (LLM) agents.
- agency
- Agency is a Go-idiomatic library aimed at developers looking to work with Large Language Models and generative AI techniques.
Persona
- lagent
- -
- agency
- -
Runtime
- lagent
- -
- agency
- -
License
- lagent
- lagent is open-source under the Apache-2.0 license, allowing for broad use and modification with attribution.
- agency
- MIT
Last pushed
- lagent
- Aug 3, 2026
- agency
- Jan 8, 2025
Categories
- lagent
- AI Agents, LLM Frameworks
- agency
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- lagent
- Active (82%)
- agency
- Dormant (18%)
Days since push
- lagent
- 12d
- agency
- 589d
Open issues (now)
- lagent
- 24
- agency
- 4
Stars delta
- lagent
- +8 (30d)
- agency
- +2 (30d)
Open issues delta
- lagent
- +1 (30d)
- agency
- 0 (30d)
Full report
- lagent
- Trust report
- agency
- Trust report
Choose lagent if…
- lagent is primarily Python; agency is Go.
- License: lagent is Apache-2.0, agency is MIT.
- Pricing: Available freely due to its open-source nature, but customization or enterprise support might involve additional costs..
- Tags unique to lagent: agent, gpt, llm, transformers.
- When you need a streamlined approach to develop LLM-based agents with minimal overhead, lagent can be particularly advantageous due to its lightweight design.
When NOT to use lagent
- Avoid using lagent if your project necessitates integration with a broader set of tools that are not natively supported by this framework, as it offers limited out-of-the-box extensibility.
- Steer clear if you need robust scalability features right from the start. While lightweight, lagent may require additional custom work to handle more demanding scaling requirements.
Choose agency if…
- agency is primarily Go; lagent is Python.
- License: agency is MIT, lagent is Apache-2.0.
- 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: agents, generative-ai, go, language-models.
- 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 (InternLM/lagent) · observed Aug 16, 2026
- GitHub forks (InternLM/lagent) · observed Aug 16, 2026
- Last push (InternLM/lagent) · observed Aug 3, 2026
- License file (Apache-2.0) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (neurocult/agency) · observed Aug 21, 2026
- GitHub forks (neurocult/agency) · observed Aug 21, 2026
- Last push (neurocult/agency) · observed Jan 8, 2025
- License file (MIT) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: lagent 2.3k · agency 514 (synced Aug 16, 2026).
Common questions
- What is the difference between lagent and agency?
- lagent: A lightweight framework for building LLM-based agents. 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 lagent over agency?
- Choose lagent over agency when lagent is primarily Python; agency is Go; License: lagent is Apache-2.0, agency is MIT; Pricing: Available freely due to its open-source nature, but customization or enterprise support might involve additional costs.; Tags unique to lagent: agent, gpt, llm, transformers; When you need a streamlined approach to develop LLM-based agents with minimal overhead, lagent can be particularly advantageous due to its lightweight design.
- When should I choose agency over lagent?
- Choose agency over lagent when agency is primarily Go; lagent is Python; License: agency is MIT, lagent is Apache-2.0; 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: agents, generative-ai, go, language-models; If you're proficient in Go and want to implement LLMs within a familiar ecosystem, consider agency.
- When should I avoid lagent?
- Avoid using lagent if your project necessitates integration with a broader set of tools that are not natively supported by this framework, as it offers limited out-of-the-box extensibility. Steer clear if you need robust scalability features right from the start. While lightweight, lagent may require additional custom work to handle more demanding scaling requirements.
- 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 lagent or agency more popular on GitHub?
- lagent has more GitHub stars (2,276 vs 514). Stars measure visibility, not whether either tool fits your constraints.
- Are lagent and agency open source?
- Yes - both are open-source projects on GitHub (lagent: Apache-2.0, agency: MIT).
- Where can I find alternatives to lagent or agency?
- GraphCanon lists graph-backed alternatives at lagent alternatives and agency alternatives (lagent 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, lagent or agency?
- lagent: 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 lagent and agency?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lagent trust report; agency trust report.