Comparison
forge vs OmAgent
Verdict
Pick forge if developers working on self-hosted LLM tooling who need flexibility in backend setup and seamless integration of function calling in multi-step workflows might benefit from Forge; pick OmAgent if omAgent is a Python library for developing multimodal language agents that supports GPT, Gemini, LLaMA, and LLAVA models.
Markdown twin · forge alternatives · OmAgent alternatives
GraphCanon updated Sep 20, 2026
10views this month
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Trust & integrity
| Signal | forge | OmAgent |
|---|---|---|
| Maintenance | Active (19d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (545d since push) As of Sep 16, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 16, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 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
- forge
- A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows
- OmAgent
- Build multimodal language agents for fast prototype and production
Stars
- forge
- 2.2k
- OmAgent
- 2.7k
Forks
- forge
- 173
- OmAgent
- 292
Open issues
- forge
- 3
- OmAgent
- 21
Language
- forge
- Python
- OmAgent
- Python
Adopt for
- forge
- Developers working on self-hosted LLM tooling who need flexibility in backend setup and seamless integration of function calling in multi-step workflows might benefit from Forge.
- OmAgent
- OmAgent is a Python library for developing multimodal language agents that supports GPT, Gemini, LLaMA, and LLAVA models.
Persona
- forge
- -
- OmAgent
- -
Runtime
- forge
- -
- OmAgent
- -
License
- forge
- MIT
- OmAgent
- Apache-2.0
Last pushed
- forge
- Sep 1, 2026
- OmAgent
- Mar 19, 2025
Categories
- forge
- AI Agents, LLM Frameworks
- OmAgent
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- forge
- Active (82%)
- OmAgent
- Dormant (18%)
Days since push
- forge
- 19d
- OmAgent
- 545d
Open issues (now)
- forge
- 3
- OmAgent
- 21
Stars delta
- forge
- +31 (30d)
- OmAgent
- +2 (30d)
Open issues delta
- forge
- -1 (30d)
- OmAgent
- 0 (30d)
Owner type
- forge
- User
- OmAgent
- Organization
Full report
- forge
- Trust report
- OmAgent
- Trust report
Shared compatibility
- Python · forge: Python runtime · OmAgent: Python runtime
Choose forge if…
- License: forge is MIT, OmAgent is Apache-2.0.
- Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.12+ and a running LLM backend.; Can be set up with local backends (e.g., llama.cpp) or Anthropic via its API, requiring an API key for the latter case..
- Tags unique to forge: agentic-ai, function-calling, multi-step-workflows, python-framework.
- forge ships Docker support for self-hosted deployment.
- - You require an agnostic backend setup, such as local LLM backends like llama.cpp or cloud-based services with Anthropic.
When NOT to use forge
- - If your application does not require flexibility in backend selection, and you prefer a single cloud provider like Anthropic without local setup.
- - For scenarios where simplicity of setup outweighs the need for customization in function calling and workflow management.
- - When working within environments strictly regulated against self-hosted infrastructure or requiring fully managed services.
Choose OmAgent if…
- License: OmAgent is Apache-2.0, forge is MIT.
- Requirements: Requires Python >= 3.10.
- Tags unique to OmAgent: agent, chatbot, gemini, gpt.
- Use OmAgent if you are prototyping scenarios involving smart hardware and multimodal workflows.
When NOT to use OmAgent
- Avoid using OmAgent if your project does not require support for multimodal models or specific integrations with GPT, Gemini, LLaMA, and LLAVA.
- If a lightweight solution is required and advanced multimodal features are unnecessary, another tool might be more suited.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (antoinezambelli/forge) · observed Sep 20, 2026
- GitHub forks (antoinezambelli/forge) · observed Sep 20, 2026
- Last push (antoinezambelli/forge) · observed Sep 1, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (om-ai-lab/OmAgent) · observed Sep 20, 2026
- GitHub forks (om-ai-lab/OmAgent) · observed Sep 20, 2026
- Last push (om-ai-lab/OmAgent) · observed Mar 19, 2025
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: forge 2.2k · OmAgent 2.7k (synced Sep 20, 2026).
Common questions
- What is the difference between forge and OmAgent?
- forge: A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows. OmAgent: Build multimodal language agents for fast prototype and production. See the comparison table for live GitHub stats and shared categories.
- When should I choose forge over OmAgent?
- Choose forge over OmAgent when License: forge is MIT, OmAgent is Apache-2.0; Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.12+ and a running LLM backend.; Can be set up with local backends (e.g., llama.cpp) or Anthropic via its API, requiring an API key for the latter case.; Tags unique to forge: agentic-ai, function-calling, multi-step-workflows, python-framework; forge ships Docker support for self-hosted deployment; - You require an agnostic backend setup, such as local LLM backends like llama.cpp or cloud-based services with Anthropic.
- When should I choose OmAgent over forge?
- Choose OmAgent over forge when License: OmAgent is Apache-2.0, forge is MIT; Requirements: Requires Python >= 3.10; Tags unique to OmAgent: agent, chatbot, gemini, gpt; Use OmAgent if you are prototyping scenarios involving smart hardware and multimodal workflows.
- When should I avoid forge?
- - If your application does not require flexibility in backend selection, and you prefer a single cloud provider like Anthropic without local setup. - For scenarios where simplicity of setup outweighs the need for customization in function calling and workflow management. - When working within environments strictly regulated against self-hosted infrastructure or requiring fully managed services.
- When should I avoid OmAgent?
- Avoid using OmAgent if your project does not require support for multimodal models or specific integrations with GPT, Gemini, LLaMA, and LLAVA. If a lightweight solution is required and advanced multimodal features are unnecessary, another tool might be more suited.
- Is forge or OmAgent more popular on GitHub?
- OmAgent has more GitHub stars (2,667 vs 2,248). Stars measure visibility, not whether either tool fits your constraints.
- Are forge and OmAgent open source?
- Yes - both are open-source projects on GitHub (forge: MIT, OmAgent: Apache-2.0).
- Where can I find alternatives to forge or OmAgent?
- GraphCanon lists graph-backed alternatives at forge alternatives and OmAgent alternatives (forge markdown twin, OmAgent 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, forge or OmAgent?
- forge: Active. OmAgent: 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 forge and OmAgent?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: forge trust report; OmAgent trust report.