Home/Compare/anything-llm vs claude-mem

Comparison

anything-llm vs claude-mem

Verdict

Pick anything-llm if anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows; pick claude-mem if claude-mem provides persistent context across sessions, leveraging AI to capture and compress agent activity.

Markdown twin · anything-llm alternatives · claude-mem alternatives

GraphCanon updated Sep 20, 2026

18views this month

anything-llm logo

anything-llm

Mintplex-Labs/anything-llm

★ 66kpushed Sep 17, 2026
vs
claude-mem logo

claude-mem

thedotmack/claude-mem

★ 91kpushed Aug 17, 2026

Trust & integrity

Signalanything-llmclaude-mem
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Very active (0d since push)
As of Aug 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Personal account
As of Aug 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 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

anything-llm
Self-hosted AI agent experience
claude-mem
Persistent Context Across Sessions for Every Agent

Stars

anything-llm
66k
claude-mem
91k

Forks

anything-llm
7.3k
claude-mem
8.0k

Open issues

anything-llm
315
claude-mem
200

Language

anything-llm
JavaScript
claude-mem
JavaScript

Adopt for

anything-llm
anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows.
claude-mem
claude-mem provides persistent context across sessions, leveraging AI to capture and compress agent activity.

Persona

anything-llm
-
claude-mem
-

Runtime

anything-llm
-
claude-mem
-

License

anything-llm
MIT License, allowing for free use, modification, and distribution.
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

anything-llm
Sep 17, 2026
claude-mem
Aug 17, 2026

Categories

anything-llm
AI Agents, Developer Tools, Inference & Serving
claude-mem
AI Agents, Inference & Serving

Trust and health

Open issues (now)

anything-llm
315
claude-mem
200

Stars delta

anything-llm
+1.5k (30d)
claude-mem
+3.3k (30d)

Open issues delta

anything-llm
-4 (30d)
claude-mem
-116 (30d)

Owner type

anything-llm
Organization
claude-mem
User

Full report

anything-llm
Trust report
claude-mem
Trust report

Choose anything-llm if…

  • License: anything-llm is MIT, claude-mem is Apache-2.0.
  • Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure..
  • Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment..
  • Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai.
  • Also covers Developer Tools.
  • When you need a local-first AI agent experience that you can fully control and customize.

When NOT to use anything-llm

  • If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management.
  • When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity.

Choose claude-mem if…

  • License: claude-mem is Apache-2.0, anything-llm is MIT.
  • 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-memory, chromadb, claude, long-term-memory.
  • 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: anything-llm 66k · claude-mem 91k (synced Sep 20, 2026).

Common questions

What is the difference between anything-llm and claude-mem?
anything-llm: Self-hosted AI agent experience. claude-mem: Persistent Context Across Sessions for Every Agent. See the comparison table for live GitHub stats and shared categories.
When should I choose anything-llm over claude-mem?
Choose anything-llm over claude-mem when License: anything-llm is MIT, claude-mem is Apache-2.0; Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.; Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.; Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai; Also covers Developer Tools; When you need a local-first AI agent experience that you can fully control and customize.
When should I choose claude-mem over anything-llm?
Choose claude-mem over anything-llm when License: claude-mem is Apache-2.0, anything-llm is MIT; 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-memory, chromadb, claude, long-term-memory; 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 anything-llm?
If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity.
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 anything-llm or claude-mem more popular on GitHub?
claude-mem has more GitHub stars (91,018 vs 66,167). Stars measure visibility, not whether either tool fits your constraints.
Are anything-llm and claude-mem open source?
Yes - both are open-source projects on GitHub (anything-llm: MIT, claude-mem: Apache-2.0).
Where can I find alternatives to anything-llm or claude-mem?
GraphCanon lists graph-backed alternatives at anything-llm alternatives and claude-mem alternatives (anything-llm 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, anything-llm or claude-mem?
anything-llm: 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 anything-llm and claude-mem?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: anything-llm trust report; claude-mem trust report.

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