mcp-local-memory logo
mcp-local-memory
★ 60
vs
context-mode logo
context-mode
★ 31.8k

mcp-local-memory vs context-mode

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-mode: Every tool call in an MCP (Model-Controller-Program) environment dumps raw data into the context window, quickly consuming space and causing the agent to lose track of ongoing tasks. Context Mode is an MCP server that tackles this by sandboxing tool outputs to significantly reduce context usage, tracking session events in SQLite for continuity, and promoting 'think in code' to minimize data processing within the LLM.

01

TL;DR

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

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

context-mode logo
context-modeMemory & Context · ★ 31.8k
When to choose:
  • Your sessions fill up with tool output such as Playwright snapshots, GitHub issue lists or logs.
  • You want work state (edits, git operations, tasks, decisions) to survive context compaction without being dumped back into the window.
  • You use a hook-capable agent, where tool routing happens automatically.
When to skip:
  • You need an OSI open-source licence: it uses the Elastic License 2.0, which restricts uses such as offering it as a managed service.
  • Your sessions are short and rarely hit the context limit.
  • You do not want hooks changing how your agent's tools behave.
02

Side-by-Side Comparison

Field
mcp-local-memory logomcp-local-memory
context-mode logocontext-mode
Category
Memory & Context
Memory & Context
Stars
★ 60
★ 31.8k
License
MIT
Elastic License 2.0
Install Command
npm install -g @beledarian/mcp-local-memory@2
npm install -g context-mode
Updated
1mo ago
1d ago
Open Source
Yes
Yes
Tags
AI Agents, Memory Management, Knowledge Graph
antigravity, claude, claude-code
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-mode logocontext-mode
01Context Saving: Sandbox tools keep raw data out of the context window, achieving up to 98% reduction.
02Session Continuity: Tracks every file edit, git operation, task, and user decision in SQLite for seamless session resume.
03Think in Code: Promotes LLMs to program analysis, not compute it, saving 100x context by logging only results.
04Batch Execution & Search: Run multiple commands/queries in one call with tools like `ctx_batch_execute`.
05Advanced Knowledge Base: Uses SQLite FTS5 with BM25 ranking, smart snippets, and TTL cache for efficient information retrieval.
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-mode logocontext-mode
↳Deep repository research and analysis (e.g., architecture, contributors, issues)
↳Analyze Git history to identify top contributors, commit frequency, and most changed files
↳Efficiently process large JSON APIs, web pages, or logs without flooding the context window
05

Best For

mcp-local-memory logomcp-local-memory
—
context-mode logocontext-mode
Most PopularTrending
FAQ

FAQ

What is the difference between mcp-local-memory and context-mode?
Both mcp-local-memory and context-mode are in the Memory & Context category. mcp-local-memory has 60 stars, while context-mode has 31.8k stars.
Which is better, mcp-local-memory or context-mode?
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-mode if Deep repository research and analysis (e.g., architecture, contributors, issues).
Is mcp-local-memory free or open source?
Yes, mcp-local-memory is open source on GitHub (MIT).
Is context-mode free or open source?
Yes, context-mode is open source on GitHub (Elastic License 2.0).
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