Home/Compare/forge vs GPTCache

Comparison

forge vs GPTCache

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 GPTCache if gPTCache is a semantic caching solution for large language models, designed to integrate with LangChain and llama_index, aimed at improving efficiency by reusing previous computations and responses.

Markdown twin · forge alternatives · GPTCache alternatives

GraphCanon updated Sep 20, 2026

8views this month

forge logo

forge

antoinezambelli/forge

★ 2.2kpushed Sep 1, 2026
vs
GPTCache logo

GPTCache

zilliztech/GPTCache

★ 8.2kpushed Jul 11, 2025

Trust & integrity

SignalforgeGPTCache
Maintenance
Active (19d since push)
As of Sep 20, 2026 · github_public_v1
Dormant (433d since push)
As of Sep 18, 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 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 15, 2026 · osv@v1
No published findings from this source as of 2026-09-18
As of Sep 18, 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
GPTCache
Semantic cache for LLMs, integrated with LangChain and llama_index.

Stars

forge
2.2k
GPTCache
8.2k

Forks

forge
173
GPTCache
595

Open issues

forge
3
GPTCache
99

Language

forge
Python
GPTCache
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.
GPTCache
GPTCache is a semantic caching solution for large language models, designed to integrate with LangChain and llama_index, aimed at improving efficiency by reusing previous computations and responses.

Persona

forge
-
GPTCache
-

Runtime

forge
-
GPTCache
-

License

forge
MIT
GPTCache
MIT

Last pushed

forge
Sep 1, 2026
GPTCache
Jul 11, 2025

Categories

forge
AI Agents, LLM Frameworks
GPTCache
Data & Retrieval, LLM Frameworks

Trust and health

Maintenance

forge
Active (82%)
GPTCache
Dormant (18%)

Days since push

forge
19d
GPTCache
433d

Open issues (now)

forge
3
GPTCache
99

Stars delta

forge
+31 (30d)
GPTCache
+70 (30d)

Open issues delta

forge
-1 (30d)
GPTCache
+5 (30d)

Owner type

forge
User
GPTCache
Organization

OSV dependency advisories

forge
No lockfile (source not queried)
GPTCache
No published findings from this source as of 2026-09-18

Full report

GPTCache
Trust report

Shared compatibility

  • Python · forge: Python runtime · GPTCache: 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.
  • Also covers AI Agents.
  • 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 GPTCache if…

  • Pricing: GPTCache is available under the MIT license, which is free to use for both personal and commercial projects. However, additional features may require the installation of specific libraries, which may,.
  • Requirements: Min 2 GB RAM; Ensure Python version is 3.8.1 or higher.; Additional libraries are automatically installed as needed for extended functionality..
  • Tags unique to GPTCache: aigc, autogpt, babyagi, chatbot.
  • Also covers Data & Retrieval.
  • When you are working with LangChain or llama_index and want to enhance the efficiency of your large language models by caching responses semantically.

When NOT to use GPTCache

  • If your project does not involve LangChain or llama_index, as GPTCache's integration benefits are specific to these frameworks.
  • When you need a caching solution that supports a wide range of frameworks beyond LangChain and llama_index, as GPTCache's integration is limited to these specific tools.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: forge 2.2k · GPTCache 8.2k (synced Sep 20, 2026).

Common questions

What is the difference between forge and GPTCache?
forge: A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows. GPTCache: Semantic cache for LLMs, integrated with LangChain and llama_index.. See the comparison table for live GitHub stats and shared categories.
When should I choose forge over GPTCache?
Choose forge over GPTCache 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; Also covers AI Agents; 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 GPTCache over forge?
Choose GPTCache over forge when Pricing: GPTCache is available under the MIT license, which is free to use for both personal and commercial projects. However, additional features may require the installation of specific libraries, which may,; Requirements: Min 2 GB RAM; Ensure Python version is 3.8.1 or higher.; Additional libraries are automatically installed as needed for extended functionality.; Tags unique to GPTCache: aigc, autogpt, babyagi, chatbot; Also covers Data & Retrieval; When you are working with LangChain or llama_index and want to enhance the efficiency of your large language models by caching responses semantically.
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 GPTCache?
If your project does not involve LangChain or llama_index, as GPTCache's integration benefits are specific to these frameworks. When you need a caching solution that supports a wide range of frameworks beyond LangChain and llama_index, as GPTCache's integration is limited to these specific tools.
Is forge or GPTCache more popular on GitHub?
GPTCache has more GitHub stars (8,194 vs 2,248). Stars measure visibility, not whether either tool fits your constraints.
Are forge and GPTCache open source?
Yes - both are open-source projects on GitHub (forge: MIT, GPTCache: MIT).
Where can I find alternatives to forge or GPTCache?
GraphCanon lists graph-backed alternatives at forge alternatives and GPTCache alternatives (forge markdown twin, GPTCache 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 GPTCache?
forge: Active. GPTCache: 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 GPTCache?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: forge trust report; GPTCache trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.