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The atomicmemory MCP server was last committed 1mo ago and has 2 contributors. Issue health: 0% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

atomicmemory MCP Server

Name: atomicstrata/atomicmemory
Rating: 3.2 (1 reviews)
Author: atomicstrata

atomicstrata/atomicmemory

Score: 53.9 Rank #11967 Agent Framework

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Portable semantic memory for AI agents: core engine, TypeScript SDK, framework adapters, MCP server, CLI, and host plugins.

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Overview

atomicstrata/atomicmemory is a TypeScript MCP server. Portable semantic memory for AI agents: core engine, TypeScript SDK, framework adapters, MCP server, CLI, and host plugins. Topics: agent-infrastructure, agent-memory, ai-agents, ai-memory, cli, context-engineering, developer-tools, llm, local-first, mcp, memory-layer, model-context-protocol, open-source, pgvector, postgres, retrieval, sdk, self-hosted, semantic-memory, typescript.

Ranked #11967 out of 24846 indexed tools.

Ecosystem

TypeScript NOASSERTION

agent-infrastructureagent-memoryai-agentsai-memoryclicontext-engineeringdeveloper-toolsllmlocal-firstmcpmemory-layermodel-context-protocolopen-sourcepgvectorpostgresretrievalsdkself-hostedsemantic-memorytypescript

Score Breakdown

Stars 15% 438

438 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 0%

0/5 issues closed → many open issues

Contributors 10% 2

2 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 36

Description Good

License NOASSERTION

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

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Freshness high impact

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Details

Stars: 438
Forks: 36
Open Issues: 5
Closed Issues: 0
Contributors: 2
Dependents: —
Language: TypeScript
License: NOASSERTION
Last Commit: 1mo ago

Matched Queries

"mcp server""mcp-server"topic:mcptopic:model-context-protocol

From the README

# AtomicMemory

**Inspectable, correction-aware memory for agents and AI applications.**

AtomicMemory gives agents durable context across sessions without coupling your
application to one model, framework, or deployment. Start with managed Hosted
Cloud, run the open-source Core locally, or integrate through the TypeScript SDK
and MCP server.

[Documentation](https://docs.atomicstrata.ai) ·
[Hosted Cloud](https://memory.atomicstrata.ai) ·
[Open-source quickstart](https://docs.atomicstrata.ai/open-source/quickstart) ·
[Why inspectable memory matters](https://www.atomicstrata.ai/blog/the-ai-memory-industry-has-a-black-box-problem)

## Headline Results

AtomicMemory v66 is leading performance/cost on BEAM-100K, BEAM-1M, and LoCoMo10 under
matched methodology against published competitors. On BEAM-10M it matches the
strongest published Mem0-new result while leaving Hindsight-scale temporal
retrieval as the known open frontier.

| Benchmark | AtomicMemory v66 | Position | Cost/Q | Sample |

Read full README on GitHub →