remnic MCP Server
joshuaswarren/remnic
[](https://agentrank-ai.com/tool/joshuaswarren--remnic/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
joshuaswarren/remnic is a TypeScript tool licensed under MIT. Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access. Topics: ai-agent, ai-memory, engram, knowledge-graph, llm, local-first, long-term-memory, markdown, memory-plugin, openai, openclaw, semantic-search, typescript, hermes-plugin, claude-code, mcp, mcp-server, okf, open-knowledge-format.
Ranked #58 out of 24842 indexed tools.
In the top 1% of all indexed tools.
Has 19 contributors.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
218 stars → growing community
Last commit today → actively maintained
836/850 issues closed → responsive maintainer
19 contributors → active community
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
# Remnic Open-source, local-first memory and context for AI agents. One memory store, every agent. Website: **[remnic.ai](https://remnic.ai)** - guide library, comparisons, benchmarks, and changelog. - **Your files, your machine.** Every memory is a plain markdown file with YAML frontmatter on your disk. No database, no cloud dependency, no subscription. `cat`, `grep`, edit, and version-control your memory with the tools you already use. - **One memory across every tool.** OpenClaw, Claude Code, Codex CLI, Cursor, ChatGPT (developer mode), Hermes, Replit, Pi, omp, Factory Droid, and any MCP client read and write the same store. Tell one agent a preference; every agent knows it. - **Automatic extraction and recall.** Remnic watches conversations, distills durable knowledge, and injects the right context back when it is needed. - **Sharp retrieval.** Hybrid search (BM25 + vector + reranking) over rebuildable indexes, with graph recall, memory-worth scoring, and per-result provenance yRead full README on GitHub →
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