context-harness logo
context-harness
★ 42
vs
state-memory-mcp logo
state-memory-mcp
★ 48

context-harness vs state-memory-mcp

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.; state-memory-mcp: @putervision/state-memory-mcp is a zero-infrastructure, deterministic Model Context Protocol (MCP) server designed to provide AI coding assistants with a structured, persistent SQLite graph for tracking workflow state. It offers efficient context management, reduces latency by offloading to a local database, and supports multi-agent collaboration with a shared blackboard.

01

TL;DR

context-harness logo
context-harnessMemory & Context · ★ 42

Provide AI tools with searchable local project documentation and knowledge bases.

state-memory-mcp logo
state-memory-mcpMemory & Context · ★ 48

Providing persistent workflow state to AI coding assistants like Cursor and Copilot

02

Side-by-Side Comparison

Field
context-harness logocontext-harness
state-memory-mcp logostate-memory-mcp
Category
Memory & Context
Memory & Context
Stars
★ 42
★ 48
License
AGPL-3.0
MIT
Install Command
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/
npm install -g @putervision/state-memory-mcp && state-memory-mcp init
Updated
1w ago
2w ago
Open Source
Yes
Yes
Tags
Context Management, RAG Framework, Embeddings
State Management, Context Management, SQLite
03

Features

context-harness logocontext-harness
01Connector-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
state-memory-mcp logostate-memory-mcp
01Deterministic State Memory & Compact TaskSlices for fast evaluation
02Efficient Context Management & Decision Thresholding to prevent graph bloat
03Multi-Agent Blackboard for shared context and parallel subagent updates
04100% Local & Private architecture, ensuring all state stays within your workspace
05Interactive 3D Visualizer for graph exploration
04

Use Cases

context-harness logocontext-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.
state-memory-mcp logostate-memory-mcp
↳Providing persistent workflow state to AI coding assistants like Cursor and Copilot
↳Managing context and decision-making for autonomous agents
↳Facilitating multi-agent collaboration on complex tasks with a shared context store
↳Auditing and tracing agent activities with a tamper-evident event ledger
↳Improving agent efficiency and reducing latency in task retrieval and context processing
FAQ

FAQ

What is the difference between context-harness and state-memory-mcp?
Both context-harness and state-memory-mcp are in the Memory & Context category. context-harness has 42 stars, while state-memory-mcp has 48 stars.
Which is better, context-harness or state-memory-mcp?
The best choice depends on your use case. Choose context-harness if Provide AI tools with searchable local project documentation and knowledge bases., and state-memory-mcp if Providing persistent workflow state to AI coding assistants like Cursor and Copilot.
Is context-harness free or open source?
Yes, context-harness is open source on GitHub (AGPL-3.0).
Is state-memory-mcp free or open source?
Yes, state-memory-mcp is open source on GitHub (MIT).
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