mnemo
★ 12
vs
context-harness
★ 42
mnemo vs context-harness
mnemo: Mnemo is an open, free, and unlimited persistent AI memory system featuring hybrid search and embedded synchronization. It integrates full-text search with vector search, temporal decay, and importance boosting for advanced retrieval.; 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
mnemoMemory & Context · ★ 12
Providing persistent long-term and short-term memory for AI agents to enhance their context and decision-making.
context-harnessMemory & Context · ★ 42
Provide AI tools with searchable local project documentation and knowledge bases.
02
Side-by-Side Comparison
Field
mnemocontext-harnessCategory
Memory & Context
Memory & Context
Stars
★ 12
★ 42
License
Apache-2.0
AGPL-3.0
Install Command
/plugin marketplace add n24q02m/claude-plugins && /plugin install mnemo-mcp@n24q02m-plugins
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
1d ago
1w ago
Open Source
Yes
Yes
Tags
AI Memory, Hybrid Search, Vector Database
Context Management, RAG Framework, Embeddings
03
Features
mnemo01Hybrid retrieval combining full-text search (FTS5) and vector search, fused via Reciprocal Rank Fusion, then re-ranked with temporal decay and importance boost.
02Automatic entity extraction and relation tracking to build a temporal knowledge graph, boosting top search results by graph proximity.
03Multi-machine sync via Google Drive with JSONL-based merge sync, and end-to-end encrypted passport sync using AES-256-GCM and Argon2id for secure cross-device bootstrap.
04LLM-driven compression of older memories and LLM summarization of related memories for STM-to-LTM consolidation, achieving significant token reduction.
05Zero-config local setup using Fastretrieval's built-in Qwen3 ONNX embedding and reranking models, requiring no external API keys for basic operation.
context-harness01Connector-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
mnemo↳Providing persistent long-term and short-term memory for AI agents to enhance their context and decision-making.
↳Building and querying a temporal knowledge graph to understand historical states and relationships of entities within an AI system's memory.
↳Synchronizing AI memory across multiple machines or devices securely, enabling a consistent knowledge base for agents.
↳Improving the efficiency of LLM interactions by compressing older memories and consolidating related information.
↳Integrating with various AI clients (e.g., Claude Code, Gemini CLI, Cursor) as an MCP server for advanced memory management.
context-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 mnemo and context-harness?
Both mnemo and context-harness are in the Memory & Context category. mnemo has 12 stars, while context-harness has 42 stars.
Which is better, mnemo or context-harness?
The best choice depends on your use case. Choose mnemo if Providing persistent long-term and short-term memory for AI agents to enhance their context and decision-making., and context-harness if Provide AI tools with searchable local project documentation and knowledge bases..
Is mnemo free or open source?
Yes, mnemo is open source on GitHub (Apache-2.0).
Is context-harness free or open source?
Yes, context-harness is open source on GitHub (AGPL-3.0).
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