Comparison
waggle-dance vs LazyLLM
Verdict
Pick waggle-dance if waggle-dance is an AI-driven knowledge work automation tool built in TypeScript with experimental concurrent agent execution for faster task resolution; pick LazyLLM if critical facts for LazyLLM.
Markdown twin · waggle-dance alternatives · LazyLLM alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | waggle-dance | LazyLLM |
|---|---|---|
| Maintenance | Archived (971d since push) As of 1w · github_public_v1 | Very active (0d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings 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
- waggle-dance
- Knowledge work automation with AI agents
- LazyLLM
- Easiest and laziest way for building multi-agent LLMs applications.
Stars
- waggle-dance
- 171
- LazyLLM
- 3.9k
Forks
- waggle-dance
- 12
- LazyLLM
- 404
Open issues
- waggle-dance
- 0
- LazyLLM
- 41
Language
- waggle-dance
- TypeScript
- LazyLLM
- Python
Adopt for
- waggle-dance
- Waggle-dance is an AI-driven knowledge work automation tool built in TypeScript with experimental concurrent agent execution for faster task resolution.
- LazyLLM
- Critical facts for LazyLLM
Persona
- waggle-dance
- -
- LazyLLM
- -
Runtime
- waggle-dance
- -
- LazyLLM
- -
License
- waggle-dance
- MIT
- LazyLLM
- Apache-2.0
Last pushed
- waggle-dance
- Dec 17, 2023
- LazyLLM
- Aug 7, 2026
Categories
- waggle-dance
- AI Agents, Model Training
- LazyLLM
- AI Agents, Model Training
Trust and health
Maintenance
- waggle-dance
- Archived (8%)
- LazyLLM
- Very active (96%)
Days since push
- waggle-dance
- 971d
- LazyLLM
- 0d
Archived on GitHub
- waggle-dance
- Yes
- LazyLLM
- No
Open issues (now)
- waggle-dance
- 0
- LazyLLM
- 41
Stars delta
- waggle-dance
- 0 (30d)
- LazyLLM
- Unknown
Open issues delta
- waggle-dance
- 0 (30d)
- LazyLLM
- Unknown
OSV dependency advisories
- waggle-dance
- No lockfile (source not queried)
- LazyLLM
- Published findings
Full report
- waggle-dance
- Trust report
- LazyLLM
- Trust report
Shared compatibility
- Python · waggle-dance: Python runtime · LazyLLM: Python runtime
Choose waggle-dance if…
- waggle-dance is primarily TypeScript; LazyLLM is Python.
- License: waggle-dance is MIT, LazyLLM is Apache-2.0.
- Tags unique to waggle-dance: agent, autogpt, langchain, weaviate.
- waggle-dance ships Docker support for self-hosted deployment.
- You need a system that prioritizes speed and concurrency in executing tasks
When NOT to use waggle-dance
- Your project demands high stability over experimental features
- You require extensive customization of agent execution behavior beyond what Waggle-dance offers initially
Choose LazyLLM if…
- LazyLLM is primarily Python; waggle-dance is TypeScript.
- License: LazyLLM is Apache-2.0, waggle-dance is MIT.
- Pricing: LazyLLM is open-source under the Apache-2.0 license, making it free to use for both personal and commercial projects..
- Requirements: Min 8 GB RAM; Installation can be done via pip or from source. No Docker required, but a Python environment is necessary..
- Tags unique to LazyLLM: agents, ai-agent, deep-learning, framework.
- - When you need a highly user-friendly framework specifically designed for building multi-agent LLM applications, emphasizing simplicity and streamlined installation.
When NOT to use LazyLLM
- - Avoid if you require extensive customization options or a more complex framework; LazyLLM's focus on being the 'laziest' way may mean it lacks advanced or specialized features found in other tools.
- - If you are working with non-Python environments, as LazyLLM is specifically language-oriented towards Python. Users needing cross-language support might not find LazyLLM suitable.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (agi-merge/waggle-dance) · observed Aug 15, 2026
- GitHub forks (agi-merge/waggle-dance) · observed Aug 15, 2026
- Last push (agi-merge/waggle-dance) · observed Dec 17, 2023
- License file (MIT) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (LazyAGI/LazyLLM) · observed Aug 8, 2026
- GitHub forks (LazyAGI/LazyLLM) · observed Aug 8, 2026
- Last push (LazyAGI/LazyLLM) · observed Aug 7, 2026
- License file (Apache-2.0) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: waggle-dance 171 · LazyLLM 3.9k (synced Aug 15, 2026).
Common questions
- What is the difference between waggle-dance and LazyLLM?
- waggle-dance: Knowledge work automation with AI agents. LazyLLM: Easiest and laziest way for building multi-agent LLMs applications.. See the comparison table for live GitHub stats and shared categories.
- When should I choose waggle-dance over LazyLLM?
- Choose waggle-dance over LazyLLM when waggle-dance is primarily TypeScript; LazyLLM is Python; License: waggle-dance is MIT, LazyLLM is Apache-2.0; Tags unique to waggle-dance: agent, autogpt, langchain, weaviate; waggle-dance ships Docker support for self-hosted deployment; You need a system that prioritizes speed and concurrency in executing tasks.
- When should I choose LazyLLM over waggle-dance?
- Choose LazyLLM over waggle-dance when LazyLLM is primarily Python; waggle-dance is TypeScript; License: LazyLLM is Apache-2.0, waggle-dance is MIT; Pricing: LazyLLM is open-source under the Apache-2.0 license, making it free to use for both personal and commercial projects.; Requirements: Min 8 GB RAM; Installation can be done via pip or from source. No Docker required, but a Python environment is necessary.; Tags unique to LazyLLM: agents, ai-agent, deep-learning, framework; - When you need a highly user-friendly framework specifically designed for building multi-agent LLM applications, emphasizing simplicity and streamlined installation.
- When should I avoid waggle-dance?
- Your project demands high stability over experimental features You require extensive customization of agent execution behavior beyond what Waggle-dance offers initially
- When should I avoid LazyLLM?
- - Avoid if you require extensive customization options or a more complex framework; LazyLLM's focus on being the 'laziest' way may mean it lacks advanced or specialized features found in other tools. - If you are working with non-Python environments, as LazyLLM is specifically language-oriented towards Python. Users needing cross-language support might not find LazyLLM suitable.
- Is waggle-dance or LazyLLM more popular on GitHub?
- LazyLLM has more GitHub stars (3,866 vs 171). Stars measure visibility, not whether either tool fits your constraints.
- Are waggle-dance and LazyLLM open source?
- Yes - both are open-source projects on GitHub (waggle-dance: MIT, LazyLLM: Apache-2.0).
- Where can I find alternatives to waggle-dance or LazyLLM?
- GraphCanon lists graph-backed alternatives at waggle-dance alternatives and LazyLLM alternatives (waggle-dance markdown twin, LazyLLM 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, waggle-dance or LazyLLM?
- waggle-dance: Archived. LazyLLM: 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 waggle-dance and LazyLLM?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: waggle-dance trust report; LazyLLM trust report.