anything-llm vs cortex-memory

Common questions

What is the difference between anything-llm and cortex-memory?

anything-llm: Self-hosted AI agent experience. cortex-memory: Persistent AI memory for coding sessions, auto-capturing decisions and context.. See the comparison table for live GitHub stats and shared categories.

When should I choose anything-llm over cortex-memory?

Choose anything-llm over cortex-memory when anything-llm is primarily JavaScript; cortex-memory is TypeScript; 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 AI Agents, Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize.

When should I choose cortex-memory over anything-llm?

Choose cortex-memory over anything-llm when cortex-memory is primarily TypeScript; anything-llm is JavaScript; Pricing: The tool is open-source under the MIT License, making it free to use, but additional features or services may come at a cost.; Requirements: Min 2 GB RAM; Requires a compatible AI coding assistant like Claude Code, Cursor, or Cline.; Works best with VSCode, but also supports CLI and MCP server.; Tags unique to cortex-memory: ai, ai-coding-assistant, ai-memory, claude; Also covers Data & Retrieval; When you are working with specific AI coding assistants like Claude Code, Cursor, or Cline and need persistent memory across coding sessions.

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 cortex-memory?

If you are not using AI coding assistants like Claude Code, Cursor, or Cline, as cortex-memory is specifically designed to work with these tools. When you prefer a tool that does not automatically capture decisions and context, and you want full control over what is stored and retrieved. If you are working in an environment where zero-configuration tools are not suitable, and you require extensive customization options.

Is anything-llm or cortex-memory more popular on GitHub?

anything-llm has more GitHub stars (66,167 vs 8). Stars measure visibility, not whether either tool fits your constraints.

Are anything-llm and cortex-memory open source?

Yes - both are open-source projects on GitHub (anything-llm: MIT, cortex-memory: MIT).

Where can I find alternatives to anything-llm or cortex-memory?

GraphCanon lists graph-backed alternatives at anything-llm alternatives and cortex-memory alternatives (anything-llm markdown twin, cortex-memory 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 cortex-memory?

anything-llm: Very active. cortex-memory: Slowing. 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 cortex-memory?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: anything-llm trust report; cortex-memory trust report.