--- title: "Aegis vs claude-mem" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/justin0504-aegis-vs-thedotmack-claude-mem" tools: ["justin0504-aegis", "thedotmack-claude-mem"] --- # Aegis vs claude-mem *GraphCanon updated Jul 15, 2026* ## Verdict Pick Aegis when aegis is primarily TypeScript; claude-mem is JavaScript; pick claude-mem when claude-mem is primarily JavaScript; Aegis is TypeScript. [Aegis](https://github.com/Justin0504/Aegis) reports 365 GitHub stars, 37 forks, and 4 open issues, last pushed Jul 15, 2026. [claude-mem](https://claude-mem.ai) has 87k stars, 7.5k forks, and 252 open issues, last pushed Jul 9, 2026. Figures are from public GitHub metadata via [Aegis's repository](https://github.com/Justin0504/Aegis) and [claude-mem's repository](https://github.com/thedotmack/claude-mem). | | [Aegis](/tools/justin0504-aegis.md) | [claude-mem](/tools/thedotmack-claude-mem.md) | | --- | --- | --- | | Tagline | Runtime policy enforcement for AI agents. Cryptographic audit trail, human-in-the-loop approvals, kill switch. Zero code changes. | Persistent Context Across Sessions for Every Agent | | Stars | 365 | 86,816 | | Forks | 37 | 7,500 | | Open issues | 4 | 252 | | Language | TypeScript | JavaScript | | Adopt for | - | claude-mem provides persistent context across sessions, leveraging AI to capture and compress agent activity. | | Persona | - | - | | Runtime | - | - | | License | MIT | 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. | | Categories | AI Agents, Inference & Serving, LLM Frameworks | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Aegis](/tools/justin0504-aegis.md) | [claude-mem](/tools/thedotmack-claude-mem.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 4 | 252 | | Full report | [trust report](/tools/justin0504-aegis/trust.md) | [trust report](/tools/thedotmack-claude-mem/trust.md) | ## Decision facts: claude-mem - **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. - **Adopt for:** claude-mem provides persistent context across sessions, leveraging AI to capture and compress agent activity. - **License detail:** 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. ## Choose when ### Choose Aegis if… - Aegis is primarily TypeScript; claude-mem is JavaScript. - License: Aegis is MIT, claude-mem is Apache-2.0. - Tags unique to Aegis: ai-safety, anthropic, audit-trail, langchain. - Also covers LLM Frameworks. - Aegis ships Docker support for self-hosted deployment. ### Choose claude-mem if… - claude-mem is primarily JavaScript; Aegis is TypeScript. - License: claude-mem is Apache-2.0, Aegis 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. - When you require seamless and persistent context continuity between different session interactions with Claude Code or other supported agents. ## When NOT to use Aegis - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## 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. ## Common questions ### What is the difference between Aegis and claude-mem? Aegis: Runtime policy enforcement for AI agents. Cryptographic audit trail, human-in-the-loop approvals, kill switch. Zero code changes.. claude-mem: Persistent Context Across Sessions for Every Agent. See the comparison table for live GitHub stats and shared categories. ### When should I choose Aegis over claude-mem? Choose Aegis over claude-mem when Aegis is primarily TypeScript; claude-mem is JavaScript; License: Aegis is MIT, claude-mem is Apache-2.0; Tags unique to Aegis: ai-safety, anthropic, audit-trail, langchain; Also covers LLM Frameworks; Aegis ships Docker support for self-hosted deployment. ### When should I choose claude-mem over Aegis? Choose claude-mem over Aegis when claude-mem is primarily JavaScript; Aegis is TypeScript; License: claude-mem is Apache-2.0, Aegis 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; When you require seamless and persistent context continuity between different session interactions with Claude Code or other supported agents. ### When should I avoid Aegis? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### 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 Aegis or claude-mem more popular on GitHub? claude-mem has more GitHub stars (86,816 vs 365). Stars measure visibility, not whether either tool fits your constraints. ### Are Aegis and claude-mem open source? Yes - both are open-source projects on GitHub (Aegis: MIT, claude-mem: Apache-2.0). ### Where can I find alternatives to Aegis or claude-mem? GraphCanon lists graph-backed alternatives at [Aegis alternatives](/tools/justin0504-aegis/alternatives) and [claude-mem alternatives](/tools/thedotmack-claude-mem/alternatives) ([Aegis markdown twin](/tools/justin0504-aegis/alternatives.md), [claude-mem markdown twin](/tools/thedotmack-claude-mem/alternatives.md)), 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](/compare/justin0504-aegis-vs-thedotmack-claude-mem.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Aegis or claude-mem? Aegis: 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 Aegis and claude-mem? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Aegis trust report](/tools/justin0504-aegis/trust); [claude-mem trust report](/tools/thedotmack-claude-mem/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=justin0504-aegis`](/api/graphcanon/graph?tool=justin0504-aegis) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_