Is the yantrikdb-server MCP server actively maintained?

The yantrikdb-server MCP server was last committed 1mo ago and has 3 contributors. Issue health: 49% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

yantrikdb-server MCP Server

Name: yantrikos/yantrikdb-server
Rating: 3.9 (1 reviews)
Author: yantrikos

yantrikos/yantrikdb-server

Score: 73.6 Rank #3377 Agent Framework

[![AgentRank](https://agentrank-ai.com/api/v1/badge/yantrikos--yantrikdb-server)](https://agentrank-ai.com/tool/yantrikos--yantrikdb-server/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

Are you the maintainer of yantrikos/yantrikdb-server? Claim this listing →

Cognitive memory database for AI agents — consolidates duplicates, detects contradictions, fades stale memories via temporal decay. Rust, Apache-2.0, ships as library / MCP server / HTTP cluster.

Add AgentRank to Claude Code Discover and compare tools like yantrikos/yantrikdb-server — your AI finds the right one automatically

Get API Access →

claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

yantrikos/yantrikdb-server is a Rust MCP server licensed under Apache-2.0. Cognitive memory database for AI agents — consolidates duplicates, detects contradictions, fades stale memories via temporal decay. Rust, Apache-2.0, ships as library / MCP server / HTTP cluster. Topics: ai-agents, clustering, cognitive-memory, database, llm, mcp, memory, rust, self-hosted, vector-database, agent-memory, anthropic, claude-code, embeddings, hnsw, knowledge-graph, mcp-server, open-source, persistent-memory, semantic-memory.

Ranked #3377 out of 24846 indexed tools.

Ecosystem

Rust Apache-2.0

ai-agentsclusteringcognitive-memorydatabasellmmcpmemoryrustself-hostedvector-databaseagent-memoryanthropicclaude-codeembeddingshnswknowledge-graphmcp-serveropen-sourcepersistent-memorysemantic-memory

Score Breakdown

Stars 15% 176

176 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 49%

17/35 issues closed → many open issues

Contributors 10% 3

3 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 14

Description Detailed

License Apache-2.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Freshness high impact

Last commit was 35 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 18 open vs 17 closed issues — triaging stale issues improves health

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge all embed codes →

Markdown

[![AgentRank](https://agentrank-ai.com/api/v1/badge/yantrikos--yantrikdb-server)](https://agentrank-ai.com/tool/yantrikos--yantrikdb-server/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

HTML

<a href="https://agentrank-ai.com/tool/yantrikos--yantrikdb-server/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/yantrikos--yantrikdb-server" alt="AgentRank"></a>

Embed Widget docs →

HTML

<script src="https://agentrank-ai.com/embed.js" data-tool="yantrikos/yantrikdb-server"></script>

Details

Stars: 176
Forks: 14
Open Issues: 18
Closed Issues: 17
Contributors: 3
Dependents: —
Language: Rust
License: Apache-2.0
Last Commit: 1mo ago

Matched Queries

"mcp server""mcp-server"topic:mcptopic:mcp-server

From the README

# YantrikDB

> ⚠ **Correction notice (2026-04-19):** Phase 3 benchmark writeups committed
> earlier today (`docs/phase3a/`, `docs/phase3b/`, `docs/phase3c/`,
> `docs/phase3d/`) used a Python simulator for the "structured memory"
> condition — NOT the actual yantrikdb engine. Rerun with real yantrikdb
> is in [`docs/phase3e/`](docs/phase3e/). Full audit trail, preliminary
> corrected numbers, and the exact publication gate for a findings post
> are in [`CORRECTIONS.md`](CORRECTIONS.md#whats-pending).

**A memory database that forgets, consolidates, and detects contradictions.**

Vector databases store memories. They don't manage them. After 10,000 memories, recall quality degrades because there's no consolidation, no forgetting, no conflict resolution. Your AI agent just gets noisier.

YantrikDB is different. It's a **cognitive memory engine** — embed it, run it as a server, or connect via MCP. It thinks about what it stores.

**Shortest path to try it:** [MCP setup for Claude Code / Cu

Read full README on GitHub →