Home/Compare/claude-mem vs private-gpt

Comparison

claude-mem vs private-gpt

Verdict

Pick claude-mem if claude-mem provides persistent context across sessions, leveraging AI to capture and compress agent activity; pick private-gpt if privateGPT provides a comprehensive API layer to build private, on-premise AI applications leveraging local OpenAI-compatible inference servers. It offers features such as RAG, skills, tools, text-to-SQL functionalities,.

Markdown twin · claude-mem alternatives · private-gpt alternatives

GraphCanon updated today

claude-mem logo

claude-mem

thedotmack/claude-mem

87kpushed Jul 9, 2026
vs
private-gpt logo

private-gpt

zylon-ai/private-gpt

57kpushed Jul 10, 2026

Trust & integrity

Signalclaude-memprivate-gpt
Maintenance
Very active (1d since push)
As of today · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

claude-mem
Persistent Context Across Sessions for Every Agent
private-gpt
Complete API layer for private AI applications on local models

Stars

claude-mem
87k
private-gpt
57k

Forks

claude-mem
7.5k
private-gpt
7.6k

Open issues

claude-mem
252
private-gpt
5

Language

claude-mem
JavaScript
private-gpt
Python

Adopt for

claude-mem
claude-mem provides persistent context across sessions, leveraging AI to capture and compress agent activity.
private-gpt
PrivateGPT provides a comprehensive API layer to build private, on-premise AI applications leveraging local OpenAI-compatible inference servers. It offers features such as RAG, skills, tools, text-to-SQL functionalities,

Persona

claude-mem
-
private-gpt
-

Runtime

claude-mem
-
private-gpt
-

License

claude-mem
Claude-Mem is distributed under the Apache License 2.0, allowing it to be freely used in a variety of development and production environments while maintaining clear licensing terms.
private-gpt
Apache-2.0

Last pushed

claude-mem
Jul 9, 2026
private-gpt
Jul 10, 2026

Categories

claude-mem
AI Agents, Inference & Serving
private-gpt
Inference & Serving

Trust and health

Days since push

claude-mem
1d
private-gpt
0d

Open issues (now)

claude-mem
252
private-gpt
5

Owner type

claude-mem
User
private-gpt
Organization

Full report

claude-mem
Trust report
private-gpt
Trust report

Shared compatibility

  • Python · claude-mem: Python runtime · private-gpt: Python runtime

Choose claude-mem if…

  • claude-mem is primarily JavaScript; private-gpt is Python.
  • Requirements: Requires Node.js v20.0.0 or higher.; Must have the latest version of Claude Code with plugin support.; Auto-installs Bun (JavaScript runtime and process manager) if not already present.; Requires uv (Python package for vector search), auto-installation supported..
  • Tags unique to claude-mem: chromadb, ai-memory, claude, long-term-memory.
  • Also covers AI Agents.
  • When you require seamless and persistent context continuity between different session interactions with Claude Code or other supported agents.

When NOT to use claude-mem

  • When working in environments where Node.js v20.0.0 or higher cannot be installed, as claude-mem requires this version to operate.
  • If your specific AI agent or tool does not integrate with the supported frameworks listed (e.g., Claude Code, OpenClaw), making context persistence ineffective for your workflow.

Choose private-gpt if…

  • private-gpt is primarily Python; claude-mem is JavaScript.
  • Requirements: Min 8 GB RAM; Requires Docker.
  • Tags unique to private-gpt: text-to-sql, ai, on-premise, tools.
  • private-gpt ships Docker support for self-hosted deployment.
  • - You need to deploy and operationalize your own locally-run models without relying on cloud APIs.

When NOT to use private-gpt

  • - You prefer simplicity and ease-of-use over full control; PrivateGPT requires more setup than using direct cloud-based AI services.
  • - Your project does not involve running models locally but strictly relies on public cloud resources for inference server operations.
  • - You do not have the technical capability to run an OpenAI-compatible inference server or manage local infrastructure effectively.

Explore

Sources

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

GitHub stars on cards: claude-mem 87k · private-gpt 57k (synced Jul 11, 2026).

Common questions

What is the difference between claude-mem and private-gpt?
claude-mem: Persistent Context Across Sessions for Every Agent. private-gpt: Complete API layer for private AI applications on local models. See the comparison table for live GitHub stats and shared categories.
When should I choose claude-mem over private-gpt?
Choose claude-mem over private-gpt when claude-mem is primarily JavaScript; private-gpt is Python; Requirements: Requires Node.js v20.0.0 or higher.; Must have the latest version of Claude Code with plugin support.; Auto-installs Bun (JavaScript runtime and process manager) if not already present.; Requires uv (Python package for vector search), auto-installation supported.; Tags unique to claude-mem: chromadb, ai-memory, claude, long-term-memory; Also covers AI Agents; When you require seamless and persistent context continuity between different session interactions with Claude Code or other supported agents.
When should I choose private-gpt over claude-mem?
Choose private-gpt over claude-mem when private-gpt is primarily Python; claude-mem is JavaScript; Requirements: Min 8 GB RAM; Requires Docker; Tags unique to private-gpt: text-to-sql, ai, on-premise, tools; private-gpt ships Docker support for self-hosted deployment; - You need to deploy and operationalize your own locally-run models without relying on cloud APIs.
When should I avoid claude-mem?
When working in environments where Node.js v20.0.0 or higher cannot be installed, as claude-mem requires this version to operate. If your specific AI agent or tool does not integrate with the supported frameworks listed (e.g., Claude Code, OpenClaw), making context persistence ineffective for your workflow.
When should I avoid private-gpt?
- You prefer simplicity and ease-of-use over full control; PrivateGPT requires more setup than using direct cloud-based AI services. - Your project does not involve running models locally but strictly relies on public cloud resources for inference server operations. - You do not have the technical capability to run an OpenAI-compatible inference server or manage local infrastructure effectively.
Is claude-mem or private-gpt more popular on GitHub?
claude-mem has more GitHub stars (86,816 vs 57,329). Stars measure visibility, not whether either tool fits your constraints.
Are claude-mem and private-gpt open source?
Yes - both are open-source projects on GitHub (claude-mem: Apache-2.0, private-gpt: Apache-2.0).
Where can I find alternatives to claude-mem or private-gpt?
GraphCanon lists graph-backed alternatives at claude-mem alternatives and private-gpt alternatives (claude-mem markdown twin, private-gpt 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, claude-mem or private-gpt?
claude-mem: Very active. private-gpt: 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 claude-mem and private-gpt?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: claude-mem trust report; private-gpt trust report.