mengram logo
mengram
★ 204
vs
context-mode logo
context-mode
★ 32.5k

mengram vs context-mode

mengram: Mengram is an AI memory layer that enables agents to remember facts, events, and workflows, with procedures automatically improving from failures. It uniquely stores semantic, episodic, and procedural memory, offering experience-driven evolution for AI agents.; 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

mengram logo
mengramMemory & Context · ★ 204

Building intelligent AI agents that learn and adapt from real-world outcomes.

context-mode logo
context-modeMemory & Context · ★ 32.5k
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
mengram logomengram
context-mode logocontext-mode
Category
Memory & Context
Memory & Context
Stars
★ 204
★ 32.5k
License
Apache-2.0
Elastic License 2.0
Install Command
pip install mengram-ai
npm install -g context-mode
Updated
2d ago
1d ago
Open Source
Yes
Yes
Tags
AI Agents, Memory Layer, Procedural Memory
antigravity, claude, claude-code
03

Features

mengram logomengram
01Stores Semantic, Episodic, and Procedural Memory types.
02Experience-Driven Evolution: Procedures automatically improve when they fail.
03Cognitive Profile generation for personalized LLM system prompts.
04Multi-User Isolation: Separate memory spaces for individual users in multi-tenant applications.
05Import existing data from ChatGPT, Obsidian, or text files to avoid cold-start problems.
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

mengram logomengram
↳Building intelligent AI agents that learn and adapt from real-world outcomes.
↳Enhancing DevOps agents by enabling procedures to evolve from deployment failures.
↳Creating personalized customer support agents that remember returning customers and their history.
↳Personalizing LLM interactions and responses using a dynamically generated cognitive profile.
↳Developing multi-tenant applications where each user requires an isolated and persistent memory space.
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

mengram logomengram
—
context-mode logocontext-mode
Most PopularTrending
FAQ

FAQ

What is the difference between mengram and context-mode?
Both mengram and context-mode are in the Memory & Context category. mengram has 204 stars, while context-mode has 32.5k stars.
Which is better, mengram or context-mode?
The best choice depends on your use case. Choose mengram if Building intelligent AI agents that learn and adapt from real-world outcomes., and context-mode if Deep repository research and analysis (e.g., architecture, contributors, issues).
Is mengram free or open source?
Yes, mengram is open source on GitHub (Apache-2.0).
Is context-mode free or open source?
Yes, context-mode is open source on GitHub (Elastic License 2.0).
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