Comparison
lagent vs skyagi
Verdict
Pick lagent if lagent is a Python framework aimed at streamlining the creation of lightweight Large Language Model (LLM) agents; pick skyagi if skyAGI is a development tool focusing on simulating human behavior using large language models and is available under the Apache-2.0 license.
Markdown twin · lagent alternatives · skyagi alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | lagent | skyagi |
|---|---|---|
| Maintenance | Active (12d since push) As of 1w · github_public_v1 | Dormant (1058d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Personal account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 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
- skyagi
- SkyAGI provides emerging human-behavior simulation capability in LLM.
Stars
- lagent
- 2.3k
- skyagi
- 778
Forks
- lagent
- 238
- skyagi
- 56
Open issues
- lagent
- 24
- skyagi
- 42
Language
- lagent
- Python
- skyagi
- TypeScript
Adopt for
- lagent
- lagent is a Python framework aimed at streamlining the creation of lightweight Large Language Model (LLM) agents.
- skyagi
- SkyAGI is a development tool focusing on simulating human behavior using large language models and is available under the Apache-2.0 license.
Persona
- lagent
- -
- skyagi
- -
Runtime
- lagent
- -
- skyagi
- -
License
- lagent
- lagent is open-source under the Apache-2.0 license, allowing for broad use and modification with attribution.
- skyagi
- Apache-2.0
Last pushed
- lagent
- Aug 3, 2026
- skyagi
- Sep 21, 2023
Categories
- lagent
- AI Agents, LLM Frameworks
- skyagi
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- lagent
- Active (82%)
- skyagi
- Dormant (18%)
Days since push
- lagent
- 12d
- skyagi
- 1058d
Open issues (now)
- lagent
- 24
- skyagi
- 42
Stars delta
- lagent
- +8 (30d)
- skyagi
- +1 (30d)
Owner type
- lagent
- Organization
- skyagi
- User
OSV dependency advisories
- lagent
- No lockfile (source not queried)
- skyagi
- No published findings from this source as of 2026-07-11
Full report
- lagent
- Trust report
- skyagi
- Trust report
Shared compatibility
- Python · lagent: Python runtime · skyagi: Python runtime
Choose lagent if…
- lagent is primarily Python; skyagi is TypeScript.
- Pricing: Available freely due to its open-source nature, but customization or enterprise support might involve additional costs..
- Tags unique to lagent: agent, gpt, 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 skyagi if…
- skyagi is primarily TypeScript; lagent is Python.
- Requirements: It requires a valid OpenAI API key for operational purposes..
- Tags unique to skyagi: ai-agent, aigc, langchain, language-model.
- if you aim to integrate highly dynamic, human-like behavioral characteristics in AI agents within your application
When NOT to use skyagi
- if your project does not need the complexity of simulating detailed human behavior through LLMs and prefers more straightforward automations
- when you have constraints that do not allow for third-party API usage, as SkyAGI depends on an external OPENAI_API_KEY to function
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 (litanlitudan/skyagi) · observed Aug 14, 2026
- GitHub forks (litanlitudan/skyagi) · observed Aug 14, 2026
- Last push (litanlitudan/skyagi) · observed Sep 21, 2023
- License file (Apache-2.0) · observed Aug 14, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: lagent 2.3k · skyagi 778 (synced Aug 16, 2026).
Common questions
- What is the difference between lagent and skyagi?
- lagent: A lightweight framework for building LLM-based agents. skyagi: SkyAGI provides emerging human-behavior simulation capability in LLM.. See the comparison table for live GitHub stats and shared categories.
- When should I choose lagent over skyagi?
- Choose lagent over skyagi when lagent is primarily Python; skyagi is TypeScript; Pricing: Available freely due to its open-source nature, but customization or enterprise support might involve additional costs.; Tags unique to lagent: agent, gpt, 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 skyagi over lagent?
- Choose skyagi over lagent when skyagi is primarily TypeScript; lagent is Python; Requirements: It requires a valid OpenAI API key for operational purposes.; Tags unique to skyagi: ai-agent, aigc, langchain, language-model; if you aim to integrate highly dynamic, human-like behavioral characteristics in AI agents within your application.
- 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 skyagi?
- if your project does not need the complexity of simulating detailed human behavior through LLMs and prefers more straightforward automations when you have constraints that do not allow for third-party API usage, as SkyAGI depends on an external OPENAI_API_KEY to function
- Is lagent or skyagi more popular on GitHub?
- lagent has more GitHub stars (2,276 vs 778). Stars measure visibility, not whether either tool fits your constraints.
- Are lagent and skyagi open source?
- Yes - both are open-source projects on GitHub (lagent: Apache-2.0, skyagi: Apache-2.0).
- Where can I find alternatives to lagent or skyagi?
- GraphCanon lists graph-backed alternatives at lagent alternatives and skyagi alternatives (lagent markdown twin, skyagi 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 skyagi?
- lagent: Active. skyagi: 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 skyagi?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lagent trust report; skyagi trust report.