memora
★ 744
vs
context-mode
★ 31.7k
memora vs context-mode
memora: Memora provides AI agents with a persistent memory layer, featuring structured storage, semantic retrieval, and graph relations for cross-session context. It allows agents to absorb work into a durable knowledge graph and retrieve relevant information, TODOs, and related edges using `memory_digest`.; 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
memoraMemory & Context · ★ 744
AI Agent Memory Management: Giving AI agents long-term, structured memory for complex, multi-session tasks.
context-modeMemory & Context · ★ 31.7k
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
memoracontext-modeCategory
Memory & Context
Memory & Context
Stars
★ 744
★ 31.7k
License
MIT
Elastic License 2.0
Install Command
pip install git+https://github.com/agentic-box/memora.git
npm install -g context-mode
Updated
1d ago
Today
Open Source
Yes
Yes
Tags
AI Agents, Persistent Memory, Knowledge Graph
antigravity, claude, claude-code
03
Features
memora01Persistent Storage: SQLite with optional cloud sync (S3, R2, D1)
02Semantic Search: Vector embeddings for advanced queries (TF-IDF, sentence-transformers, OpenAI)
03Knowledge Graph: Interactive visualization with Mermaid rendering and cluster detection
04Chat with Memories: RAG-powered chat panel with LLM tool calling for search, create, update, delete
05LLM Deduplication: AI-powered semantic comparison to find and merge duplicate memories
context-mode01Context 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
memora↳AI Agent Memory Management: Giving AI agents long-term, structured memory for complex, multi-session tasks.
↳Knowledge Base for Agents: Building a retrievable knowledge base that agents can query semantically and contextually.
↳Project Management & Task Tracking: Automating the creation and tracking of TODOs and issues, and surfacing insights for project progress.
↳Document Analysis & Retrieval: Storing and searching structured documents (e.g., reports, plans) at a granular fragment level.
↳Contextual Conversation for AI: Powering RAG-based chat panels that allow agents or users to converse deeply about stored memories.
context-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
memoraTrendingHidden Gem
context-modeMost PopularTrending
FAQ
FAQ
What is the difference between memora and context-mode?
Both memora and context-mode are in the Memory & Context category. memora has 744 stars, while context-mode has 31.7k stars.
Which is better, memora or context-mode?
The best choice depends on your use case. Choose memora if AI Agent Memory Management: Giving AI agents long-term, structured memory for complex, multi-session tasks., and context-mode if Deep repository research and analysis (e.g., architecture, contributors, issues).
Is memora free or open source?
Yes, memora 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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