Comparison
forge vs DemoGPT
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 DemoGPT if extracting decision-critical facts for DemoGPT.
Markdown twin · forge alternatives · DemoGPT alternatives
GraphCanon updated Sep 20, 2026
9views this month
vs
Trust & integrity
| Signal | forge | DemoGPT |
|---|---|---|
| Maintenance | Active (19d since push) As of Sep 20, 2026 · github_public_v1 | Slowing (171d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 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 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
- forge
- A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows
- DemoGPT
- Create LLM agents in a second with your prompts.
Stars
- forge
- 2.2k
- DemoGPT
- 1.9k
Forks
- forge
- 173
- DemoGPT
- 224
Open issues
- forge
- 3
- DemoGPT
- 10
Language
- forge
- Python
- DemoGPT
- 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.
- DemoGPT
- Extracting decision-critical facts for DemoGPT
Persona
- forge
- -
- DemoGPT
- -
Runtime
- forge
- -
- DemoGPT
- -
License
- forge
- MIT
- DemoGPT
- MIT
Last pushed
- forge
- Sep 1, 2026
- DemoGPT
- Apr 1, 2026
Categories
- forge
- AI Agents, LLM Frameworks
- DemoGPT
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- forge
- Active (82%)
- DemoGPT
- Slowing (36%)
Days since push
- forge
- 19d
- DemoGPT
- 171d
Open issues (now)
- forge
- 3
- DemoGPT
- 10
Stars delta
- forge
- +31 (30d)
- DemoGPT
- +5 (30d)
Open issues delta
- forge
- -1 (30d)
- DemoGPT
- 0 (30d)
Full report
- forge
- Trust report
- DemoGPT
- Trust report
Shared compatibility
- Python · forge: Python runtime · DemoGPT: Python runtime
Choose forge if…
- 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 DemoGPT if…
- Tags unique to DemoGPT: agent, ai, autonomous-agents, chatgpt.
- When you need a one-stop solution for creating LLM agents with pre-integrated tools, prompts, frameworks, and models.
When NOT to use DemoGPT
- When seeking highly specialized customization that goes beyond what is provided by integrated toolkits, since DemoGPT offers a comprehensive package which may lock you into its framework.
- If your project critically requires proprietary or private licensing terms, as it's open-source under the MIT license and might not suit projects needing more restrictive or proprietary controls.
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 (melih-unsal/DemoGPT) · observed Sep 20, 2026
- GitHub forks (melih-unsal/DemoGPT) · observed Sep 20, 2026
- Last push (melih-unsal/DemoGPT) · observed Apr 1, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: forge 2.2k · DemoGPT 1.9k (synced Sep 20, 2026).
Common questions
- What is the difference between forge and DemoGPT?
- forge: A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows. DemoGPT: Create LLM agents in a second with your prompts.. See the comparison table for live GitHub stats and shared categories.
- When should I choose forge over DemoGPT?
- Choose forge over DemoGPT when 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 DemoGPT over forge?
- Choose DemoGPT over forge when Tags unique to DemoGPT: agent, ai, autonomous-agents, chatgpt; When you need a one-stop solution for creating LLM agents with pre-integrated tools, prompts, frameworks, and models.
- 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 DemoGPT?
- When seeking highly specialized customization that goes beyond what is provided by integrated toolkits, since DemoGPT offers a comprehensive package which may lock you into its framework. If your project critically requires proprietary or private licensing terms, as it's open-source under the MIT license and might not suit projects needing more restrictive or proprietary controls.
- Is forge or DemoGPT more popular on GitHub?
- forge has more GitHub stars (2,248 vs 1,909). Stars measure visibility, not whether either tool fits your constraints.
- Are forge and DemoGPT open source?
- Yes - both are open-source projects on GitHub (forge: MIT, DemoGPT: MIT).
- Where can I find alternatives to forge or DemoGPT?
- GraphCanon lists graph-backed alternatives at forge alternatives and DemoGPT alternatives (forge markdown twin, DemoGPT 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 DemoGPT?
- forge: Active. DemoGPT: Slowing. 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 DemoGPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: forge trust report; DemoGPT trust report.