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Comparison

llama-github vs claude-mem

Verdict

Pick llama-github when llama-github is primarily Python; claude-mem is JavaScript; pick claude-mem when claude-mem is primarily JavaScript; llama-github is Python.

Markdown twin · llama-github alternatives · claude-mem alternatives

GraphCanon updated today

llama-github logo

llama-github

JetXu-LLM/llama-github

★ 295pushed Mar 29, 2026
vs
claude-mem logo

claude-mem

thedotmack/claude-mem

★ 87kpushed Jul 9, 2026

Trust & integrity

Signalllama-githubclaude-mem
Maintenance
Slowing (104d since push)
As of today · github_public_v1
Very active (1d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
127 low (127 low)
As of today · osv@v1
No lockfile
As of today · none
llama-github trust reportclaude-mem trust reportTrust methodology

Tagline

llama-github
Llama-github is an open-source Python library that empowers LLM Chatbots, AI Agents, and Auto-dev Solutions to conduct Agentic RAG from actively selected GitHub public projects. It Augments through LL
claude-mem
Persistent Context Across Sessions for Every Agent

Stars

llama-github
295
claude-mem
87k

Forks

llama-github
23
claude-mem
7.5k

Open issues

llama-github
10
claude-mem
252

Language

llama-github
Python
claude-mem
JavaScript

Adopt for

llama-github
-
claude-mem
claude-mem provides persistent context across sessions, leveraging AI to capture and compress agent activity.

Persona

llama-github
-
claude-mem
-

Runtime

llama-github
-
claude-mem
-

License

llama-github
Apache-2.0
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.

Last pushed

llama-github
Mar 29, 2026
claude-mem
Jul 9, 2026

Categories

llama-github
AI Agents, LLM Frameworks, Inference & Serving
claude-mem
AI Agents, Inference & Serving

Trust and health

Maintenance

llama-github
Slowing (36%)
claude-mem
Very active (96%)

Days since push

llama-github
104d
claude-mem
1d

Open issues (now)

llama-github
10
claude-mem
252

Security scan

llama-github
127 low (127 low)
claude-mem
No lockfile

Full report

llama-github
Trust report
claude-mem
Trust report

Shared compatibility

  • Python · llama-github: Python runtime · claude-mem: Python runtime

Choose llama-github if…

  • llama-github is primarily Python; claude-mem is JavaScript.
  • Tags unique to llama-github: github, ai-code-generator, jinaai, github-api.
  • Also covers LLM Frameworks.

When NOT to use llama-github

  • Last GitHub push was 105 days ago (slowing maintenance, Mar 29, 2026). Validate activity before betting a new project on llama-github.
  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
GitHubDetails

Choose claude-mem if…

  • claude-mem is primarily JavaScript; llama-github 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.
  • 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.
GitHubDetails

Explore

llama-github trust report →claude-mem trust report →AI Agents category →LLM Frameworks category →Inference & Serving category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: llama-github 295 · claude-mem 87k (synced Jul 11, 2026).

Common questions

What is the difference between llama-github and claude-mem?
llama-github: Llama-github is an open-source Python library that empowers LLM Chatbots, AI Agents, and Auto-dev Solutions to conduct Agentic RAG from actively selected GitHub public projects. It Augments through LL. claude-mem: Persistent Context Across Sessions for Every Agent. See the comparison table for live GitHub stats and shared categories.
When should I choose llama-github over claude-mem?
Choose llama-github over claude-mem when llama-github is primarily Python; claude-mem is JavaScript; Tags unique to llama-github: github, ai-code-generator, jinaai, github-api; Also covers LLM Frameworks.
When should I choose claude-mem over llama-github?
Choose claude-mem over llama-github when claude-mem is primarily JavaScript; llama-github 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; When you require seamless and persistent context continuity between different session interactions with Claude Code or other supported agents.
When should I avoid llama-github?
Last GitHub push was 105 days ago (slowing maintenance, Mar 29, 2026). Validate activity before betting a new project on llama-github. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
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.
Is llama-github or claude-mem more popular on GitHub?
claude-mem has more GitHub stars (86,816 vs 295). Stars measure visibility, not whether either tool fits your constraints.
Are llama-github and claude-mem open source?
Yes - both are open-source projects on GitHub (llama-github: Apache-2.0, claude-mem: Apache-2.0).
Where can I find alternatives to llama-github or claude-mem?
GraphCanon lists graph-backed alternatives at llama-github alternatives and claude-mem alternatives (llama-github markdown twin, claude-mem 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, llama-github or claude-mem?
llama-github: Slowing. claude-mem: 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 llama-github and claude-mem?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llama-github trust report; claude-mem trust report.