AgentIndex icon
AgentIndex
mcp-local-memory logo
mcp-local-memory
★ 60
vs
context-harness logo
context-harness
★ 42

mcp-local-memory vs context-harness

mcp-local-memory: mcp-local-memory is a local-first MCP server designed to provide AI agents with shared, durable memory without relying on Docker or cloud services. It achieves this through a powerful combination of hybrid semantic search, SQLite FTS5, and a structured knowledge graph, supporting features like temporal recall and adaptive ranking.; context-harness: Context Harness is a local-first framework designed for ingesting and retrieving external knowledge into an AI tool's context. It supports various data sources like files, Git repositories, and S3 buckets, storing them in a local SQLite database for efficient keyword and semantic search.

01

TL;DR

mcp-local-memory logo
mcp-local-memoryMemory & Context · ★ 60

Provide persistent and shared memory for AI agents in local environments.

Read mcp-local-memory full review →
context-harness logo
context-harnessMemory & Context · ★ 42

Provide AI tools with searchable local project documentation and knowledge bases.

Read context-harness full review →
02

Side-by-Side Comparison

Field
mcp-local-memory logomcp-local-memory
context-harness logocontext-harness
Category
Memory & Context
Memory & Context
Stars
★ 60
★ 42
License
MIT
AGPL-3.0
Install Command
npm install -g @beledarian/mcp-local-memory@2
curl -L https://github.com/parallax-labs/context-harness/releases/latest/download/ctx-linux-x86_64.tar.gz | tar xz && sudo mv ctx /usr/local/bin/
Updated
1mo ago
1w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agents, Memory Management, Knowledge Graph
Context Management, RAG Framework, Embeddings
03

Features

mcp-local-memory logomcp-local-memory
01Shared memory across multiple AI agents
02Hybrid semantic and keyword recall
03Structured knowledge graph for context management
04Temporal memory recall with natural language dates
05Adaptive memory ranking based on multiple factors
context-harness logocontext-harness
01Connector-driven ingestion supporting various sources (filesystem, Git, S3, Lua scripts)
02Multi-format file support including PDF, Word, PowerPoint, and Excel
03Flexible embedding pipeline with local, Ollama, and OpenAI providers
04Hybrid retrieval combining keyword (FTS5) and semantic search with configurable weighting
05MCP server to expose context to AI tools like Cursor and Claude via HTTP
04

Use Cases

mcp-local-memory logomcp-local-memory
↳Provide persistent and shared memory for AI agents in local environments.
↳Build knowledge bases and manage context for complex AI applications.
↳Facilitate local-first AI agent development and testing without external dependencies.
↳Serve as a centralized memory server for distributed AI agent systems via HTTP/SSE.
context-harness logocontext-harness
↳Provide AI tools with searchable local project documentation and knowledge bases.
↳Integrate diverse data sources (Git repos, S3, local files) into a unified context for RAG systems.
↳Enable AI assistants like Cursor or Claude to understand and respond based on private or proprietary enterprise data.
↳Build custom AI agents that require access to continuously updated external information.
FAQ

FAQ

What is the difference between mcp-local-memory and context-harness?
Both mcp-local-memory and context-harness are in the Memory & Context category. mcp-local-memory has 60 stars, while context-harness has 42 stars.
Which is better, mcp-local-memory or context-harness?
The best choice depends on your use case. Choose mcp-local-memory if Provide persistent and shared memory for AI agents in local environments., and context-harness if Provide AI tools with searchable local project documentation and knowledge bases..
Is mcp-local-memory free or open source?
Yes, mcp-local-memory is open source on GitHub (MIT).
Is context-harness free or open source?
Yes, context-harness is open source on GitHub (AGPL-3.0).
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