--- title: "LLocalSearch vs claude-mem" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/nilsherzig-llocalsearch-vs-thedotmack-claude-mem" tools: ["nilsherzig-llocalsearch", "thedotmack-claude-mem"] --- # LLocalSearch vs claude-mem *GraphCanon updated Jul 12, 2026* ## Verdict Pick LLocalSearch when lLocalSearch is primarily Go; claude-mem is JavaScript; pick claude-mem when claude-mem is primarily JavaScript; LLocalSearch is Go. [LLocalSearch](https://github.com/nilsherzig/LLocalSearch) reports 6.0k GitHub stars, 363 forks, and 58 open issues, last pushed Mar 24, 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 [LLocalSearch's repository](https://github.com/nilsherzig/LLocalSearch) and [claude-mem's repository](https://github.com/thedotmack/claude-mem). | | [LLocalSearch](/tools/nilsherzig-llocalsearch.md) | [claude-mem](/tools/thedotmack-claude-mem.md) | | --- | --- | --- | | Tagline | LLocalSearch is a completely locally running search aggregator using LLM Agents. The user can ask a question and the system will use a chain of LLMs to find the answer. The user can see the progress o | Persistent Context Across Sessions for Every Agent | | Stars | 5,955 | 86,816 | | Forks | 363 | 7,500 | | Open issues | 58 | 252 | | Language | Go | JavaScript | | Adopt for | - | claude-mem provides persistent context across sessions, leveraging AI to capture and compress agent activity. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | 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, LLM Frameworks, Inference & Serving | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LLocalSearch](/tools/nilsherzig-llocalsearch.md) | [claude-mem](/tools/thedotmack-claude-mem.md) | | --- | --- | --- | | Maintenance | Archived (8%) | Very active (96%) | | Days since push | 109d | 1d | | Archived on GitHub | Yes | No | | Open issues (now) | 58 | 252 | | Security scan | 15 low (15 low) | No lockfile | | Full report | [trust report](/tools/nilsherzig-llocalsearch/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 LLocalSearch if… - LLocalSearch is primarily Go; claude-mem is JavaScript. - Tags unique to LLocalSearch: go, llm, search-engine. - Also covers LLM Frameworks. - LLocalSearch ships Docker support for self-hosted deployment. ### Choose claude-mem if… - claude-mem is primarily JavaScript; LLocalSearch is Go. - 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 LLocalSearch - LLocalSearch is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. - 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 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 LLocalSearch and claude-mem? LLocalSearch: LLocalSearch is a completely locally running search aggregator using LLM Agents. The user can ask a question and the system will use a chain of LLMs to find the answer. The user can see the progress o. claude-mem: Persistent Context Across Sessions for Every Agent. See the comparison table for live GitHub stats and shared categories. ### When should I choose LLocalSearch over claude-mem? Choose LLocalSearch over claude-mem when LLocalSearch is primarily Go; claude-mem is JavaScript; Tags unique to LLocalSearch: go, llm, search-engine; Also covers LLM Frameworks; LLocalSearch ships Docker support for self-hosted deployment. ### When should I choose claude-mem over LLocalSearch? Choose claude-mem over LLocalSearch when claude-mem is primarily JavaScript; LLocalSearch is Go; 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 LLocalSearch? LLocalSearch is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. 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 LLocalSearch or claude-mem more popular on GitHub? claude-mem has more GitHub stars (86,816 vs 5,955). Stars measure visibility, not whether either tool fits your constraints. ### Are LLocalSearch and claude-mem open source? Yes - both are open-source projects on GitHub (LLocalSearch: Apache-2.0, claude-mem: Apache-2.0). ### Where can I find alternatives to LLocalSearch or claude-mem? GraphCanon lists graph-backed alternatives at [LLocalSearch alternatives](/tools/nilsherzig-llocalsearch/alternatives) and [claude-mem alternatives](/tools/thedotmack-claude-mem/alternatives) ([LLocalSearch markdown twin](/tools/nilsherzig-llocalsearch/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/nilsherzig-llocalsearch-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, LLocalSearch or claude-mem? LLocalSearch: Archived. 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 LLocalSearch and claude-mem? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LLocalSearch trust report](/tools/nilsherzig-llocalsearch/trust); [claude-mem trust report](/tools/thedotmack-claude-mem/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=nilsherzig-llocalsearch`](/api/graphcanon/graph?tool=nilsherzig-llocalsearch) - 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/_