Engram vs. Muse Wonder Full Comparison


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About Engram is a fully managed memory and context service purpose-built to help AI agents remember, learn, and improve over time. Instead of treating memory as an ever-growing pile of raw conversations and events, it turns noisy interaction data into structured, durable, and evolving memories. Applications can send raw text, complete conversations, or pre-extracted facts through a REST API or Python SDK without preprocessing. Engram then runs asynchronous pipelines that extract relevant information, transform it by deduplicating and reconciling it with existing knowledge, and commit a clean memory state without blocking the application’s main workflow. It resolves inconsistencies, adapts to changing preferences and time-evolving facts, and keeps context relevant and efficient. Agents can retrieve ranked memories in real time through vector similarity, BM25 keyword search, or hybrid retrieval, reducing the need to resend entire conversation histories.	About Muse Wonder Full is an advanced artificial intelligence foundation model developed by Meta for complex reasoning, autonomous agent workflows, software engineering, and professional knowledge work. As part of the Muse Wonder model family, it is designed to handle demanding tasks that require sustained reasoning, contextual understanding, and multistep execution. The model incorporates Active Memory to retain important information across conversations and retrieve relevant context when needed. Its Active Focus capabilities support long-running assignments by exploring alternative approaches, resolving obstacles, and adapting to changing requirements. Muse Wonder Full also supports software development, legal and financial analysis, business workflow automation, and agentic interactions with external tools. The model is available to Muse Code subscribers and has been evaluated on benchmarks covering coding, memory, professional tasks, and general problem-solving capabilities.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience AI developers that need persistent, structured memory so agents can retain context, learn from interactions, and share knowledge across sessions	Audience AI developers, software engineers, researchers, technical professionals, enterprise development teams, and knowledge workers requiring advanced reasoning, long-running agent workflows, complex software development, and contextual assistance with professional tasks
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing $45 per month Free Version Supported Free Trial Not Supported	Pricing $50/month Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 Read all reviews
	Pros & Cons from Real Users Pros I can give it a big coding or research task and it does a better job staying focused, recovering when something goes wrong, and actually finishing the job instead of stopping halfway through. Cons The downside is access. Right now Wonder Full is limited to Muse Code subscribers rather than being broadly available through the Meta Model API, so it is harder to plug directly into custom apps and agent stacks.
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Weaviate Founded: 2019 The Netherlands weaviate.io/product/engram	Company Information Meta Founded: 2004 United States meta.ai/
Alternatives Papr Papr.ai	Alternatives Gemini 4 Argon Google
Hindsight Vectorize	Claude Sonnet 5.5 Anthropic
EverOS EverMind	Claude Fable 5.1 Anthropic
LangMem LangChain	Muse Wonder Meta
Maximem View All	Muse Spark 1.2 Meta View All
Categories AI Memory Layers Supported	Categories AI Coding Models Supported AI Models Supported AI Reasoning Models Supported Foundation Models Supported Large Language Models Supported Multimodal Models Supported

Integrations Python Supported Bash Not Supported Cheaper Inference Not Supported Codex CLI Not Supported Continue Not Supported Go Not Supported Gray Swan Not Supported HTML Not Supported Hermes Agent Not Supported Instagram Not Supported JavaScript Not Supported LlamaIndex Not Supported Meta AI Not Supported Meta Model API Not Supported Model Context Protocol (MCP) Not Supported Muse Code Not Supported Muse Spark Not Supported R Not Supported TypeScript Not Supported Vercel AI SDK Not Supported Show More Integrations View All 1 Integration	Integrations Python Supported Bash Supported Cheaper Inference Supported Codex CLI Supported Continue Supported Go Supported Gray Swan Supported HTML Supported Hermes Agent Supported Instagram Supported JavaScript Supported LlamaIndex Supported Meta AI Supported Meta Model API Supported Model Context Protocol (MCP) Supported Muse Code Supported Muse Spark Supported R Supported TypeScript Supported Vercel AI SDK Supported Show More Integrations View All 55 Integrations
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