Comparison
rig vs lagent
Verdict
Pick rig if rig is a Rust library designed to create modular and scalable LLM applications with extensive support for agentic workflows, multi-turn streaming, full compatibility with GenAI conventions, and integration capabilities; pick lagent if lagent is a Python framework aimed at streamlining the creation of lightweight Large Language Model (LLM) agents.
Markdown twin · rig alternatives · lagent alternatives
GraphCanon updated Sep 30, 2026
Trust & integrity
| Signal | rig | lagent |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Active (12d since push) As of Aug 16, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Aug 16, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 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
- rig
- Build modular and scalable LLM Applications in Rust
- lagent
- A lightweight framework for building LLM-based agents
Stars
- rig
- 8.7k
- lagent
- 2.3k
Forks
- rig
- 974
- lagent
- 238
Open issues
- rig
- 102
- lagent
- 24
Language
- rig
- Rust
- lagent
- Python
Adopt for
- rig
- Rig is a Rust library designed to create modular and scalable LLM applications with extensive support for agentic workflows, multi-turn streaming, full compatibility with GenAI conventions, and integration capabilities.
- lagent
- lagent is a Python framework aimed at streamlining the creation of lightweight Large Language Model (LLM) agents.
Persona
- rig
- -
- lagent
- -
Runtime
- rig
- -
- lagent
- -
License
- rig
- MIT
- lagent
- lagent is open-source under the Apache-2.0 license, allowing for broad use and modification with attribution.
Last pushed
- rig
- Sep 19, 2026
- lagent
- Aug 3, 2026
Categories
- rig
- AI Agents, LLM Frameworks
- lagent
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- rig
- Very active (96%)
- lagent
- Active (82%)
Days since push
- rig
- 0d
- lagent
- 12d
Open issues (now)
- rig
- 102
- lagent
- 24
Stars delta
- rig
- +351 (30d)
- lagent
- +8 (30d)
Open issues delta
- rig
- -11 (30d)
- lagent
- +1 (30d)
Full report
- rig
- Trust report
- lagent
- Trust report
Choose rig if…
- rig is primarily Rust; lagent is Python.
- License: rig is MIT, lagent is Apache-2.0.
- Self-hosted as a Rust library.
- Pricing: Free to use under MIT license with potential premium support options..
- Tags unique to rig: ai, artificial-intelligence, automation, generative-ai.
- You should use Rig when you need to work with LLM applications in Rust and want full WASM (core library) compatibility.
When NOT to use rig
- Avoid using Rig if you are working on applications that do not require or support Rust as it is specifically built to facilitate LLM operations within a Rust environment.
- Rig may not be suitable if your project cannot handle potential breaking changes, which are expected due to its rapidly evolving nature and upcoming feature updates.
Choose lagent if…
- lagent is primarily Python; rig is Rust.
- License: lagent is Apache-2.0, rig is MIT.
- Pricing: Available freely due to its open-source nature, but customization or enterprise support might involve additional costs..
- Tags unique to lagent: 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (0xPlaygrounds/rig) · observed Sep 20, 2026
- GitHub forks (0xPlaygrounds/rig) · observed Sep 20, 2026
- Last push (0xPlaygrounds/rig) · observed Sep 19, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 9, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (InternLM/lagent) · observed Sep 20, 2026
- GitHub forks (InternLM/lagent) · observed Sep 20, 2026
- Last push (InternLM/lagent) · observed Aug 3, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: rig 8.7k · lagent 2.3k (synced Sep 20, 2026).
Common questions
- What is the difference between rig and lagent?
- rig: Build modular and scalable LLM Applications in Rust. lagent: A lightweight framework for building LLM-based agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose rig over lagent?
- Choose rig over lagent when rig is primarily Rust; lagent is Python; License: rig is MIT, lagent is Apache-2.0; Self-hosted as a Rust library; Pricing: Free to use under MIT license with potential premium support options.; Tags unique to rig: ai, artificial-intelligence, automation, generative-ai; You should use Rig when you need to work with LLM applications in Rust and want full WASM (core library) compatibility.
- When should I choose lagent over rig?
- Choose lagent over rig when lagent is primarily Python; rig is Rust; License: lagent is Apache-2.0, rig is MIT; Pricing: Available freely due to its open-source nature, but customization or enterprise support might involve additional costs.; Tags unique to lagent: 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 avoid rig?
- Avoid using Rig if you are working on applications that do not require or support Rust as it is specifically built to facilitate LLM operations within a Rust environment. Rig may not be suitable if your project cannot handle potential breaking changes, which are expected due to its rapidly evolving nature and upcoming feature updates.
- 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.
- Is rig or lagent more popular on GitHub?
- rig has more GitHub stars (8,679 vs 2,276). Stars measure visibility, not whether either tool fits your constraints.
- Are rig and lagent open source?
- Yes - both are open-source projects on GitHub (rig: MIT, lagent: Apache-2.0).
- Where can I find alternatives to rig or lagent?
- GraphCanon lists graph-backed alternatives at rig alternatives and lagent alternatives (rig markdown twin, lagent 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, rig or lagent?
- rig: Very active. lagent: 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 rig and lagent?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: rig trust report; lagent trust report.