Home/Compare/cactus vs claude-mem

Comparison

cactus vs claude-mem

Verdict

Pick cactus if cactus - Low-latency AI engine optimized for mobile and wearable devices; pick claude-mem if claude-mem provides persistent context across sessions, leveraging AI to capture and compress agent activity.

Markdown twin · cactus alternatives · claude-mem alternatives

GraphCanon updated 3d

cactus logo

cactus

cactus-compute/cactus

5.5kpushed Jul 24, 2026
vs
claude-mem logo

claude-mem

thedotmack/claude-mem

91kpushed Aug 17, 2026

Trust & integrity

Signalcactusclaude-mem
Maintenance
Very active (0d since push)
As of 3w · github_public_v1
Very active (0d since push)
As of 3d · github_public_v1
Provenance
Not a fork · Organization account
As of 3w · github_public_v1
Not a fork · Personal account
As of 3d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · 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

cactus
Low-latency AI engine for mobile devices & wearables
claude-mem
Persistent Context Across Sessions for Every Agent

Stars

cactus
5.5k
claude-mem
91k

Forks

cactus
450
claude-mem
8.0k

Open issues

cactus
82
claude-mem
200

Language

cactus
C++
claude-mem
JavaScript

Adopt for

cactus
Cactus - Low-latency AI engine optimized for mobile and wearable devices.
claude-mem
claude-mem provides persistent context across sessions, leveraging AI to capture and compress agent activity.

Persona

cactus
-
claude-mem
-

Runtime

cactus
-
claude-mem
-

License

cactus
Other
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

cactus
Jul 24, 2026
claude-mem
Aug 17, 2026

Categories

cactus
Inference & Serving, Speech & Audio
claude-mem
AI Agents, Inference & Serving

Trust and health

Open issues (now)

cactus
82
claude-mem
200

Stars delta

cactus
Unknown
claude-mem
+3.3k (30d)

Open issues delta

cactus
Unknown
claude-mem
-116 (30d)

Owner type

cactus
Organization
claude-mem
User

Full report

claude-mem
Trust report

Choose cactus if…

  • cactus is primarily C++; claude-mem is JavaScript.
  • License: cactus is Other, claude-mem is Apache-2.0.
  • Tags unique to cactus: ai, android, arm, edge.
  • Also covers Speech & Audio.
  • - When you need fast response times on mobile or wearable devices for tasks like speech recognition and general inference.

When NOT to use cactus

  • - In situations that require high-complexity AI applications beyond general inference, such as detailed image segmentation or extensive natural language understanding tasks.
  • - When working with desktop or server environments, as Cactus is specifically optimized for mobile and wearable hardware constraints.

Choose claude-mem if…

  • claude-mem is primarily JavaScript; cactus is C++.
  • License: claude-mem is Apache-2.0, cactus is Other.
  • 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: ai-agents, ai-memory, chromadb, claude.
  • Also covers AI Agents.
  • claude-mem ships Docker support for self-hosted deployment.
  • claude-mem ships an MCP server manifest.
  • 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.

Explore

Sources

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

GitHub stars on cards: cactus 5.5k · claude-mem 91k (synced Jul 25, 2026).

Common questions

What is the difference between cactus and claude-mem?
cactus: Low-latency AI engine for mobile devices & wearables. claude-mem: Persistent Context Across Sessions for Every Agent. See the comparison table for live GitHub stats and shared categories.
When should I choose cactus over claude-mem?
Choose cactus over claude-mem when cactus is primarily C++; claude-mem is JavaScript; License: cactus is Other, claude-mem is Apache-2.0; Tags unique to cactus: ai, android, arm, edge; Also covers Speech & Audio; - When you need fast response times on mobile or wearable devices for tasks like speech recognition and general inference.
When should I choose claude-mem over cactus?
Choose claude-mem over cactus when claude-mem is primarily JavaScript; cactus is C++; License: claude-mem is Apache-2.0, cactus is Other; 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: ai-agents, ai-memory, chromadb, claude; Also covers AI Agents; claude-mem ships Docker support for self-hosted deployment; claude-mem ships an MCP server manifest; When you require seamless and persistent context continuity between different session interactions with Claude Code or other supported agents.
When should I avoid cactus?
- In situations that require high-complexity AI applications beyond general inference, such as detailed image segmentation or extensive natural language understanding tasks. - When working with desktop or server environments, as Cactus is specifically optimized for mobile and wearable hardware constraints.
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 cactus or claude-mem more popular on GitHub?
claude-mem has more GitHub stars (91,018 vs 5,535). Stars measure visibility, not whether either tool fits your constraints.
Are cactus and claude-mem open source?
Yes - both are open-source projects on GitHub (cactus: Other, claude-mem: Apache-2.0).
Where can I find alternatives to cactus or claude-mem?
GraphCanon lists graph-backed alternatives at cactus alternatives and claude-mem alternatives (cactus 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, cactus or claude-mem?
cactus: Very active. 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 cactus and claude-mem?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: cactus trust report; claude-mem trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.