Why this fit
Teams evaluating AI models, assistants and generative workflows, particularly AI agents that connect over MCP โ source available on GitHub.
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Catalogue record
github.com
memex
๐ ๐ ๐ ๐ช ๐ง - Developer context continuity system. Watches your git repos and builds a temporal knowledge graph of modules, symbols, decisions...
Checked Oct 27, 2026Evidence completeness: evidenceREADME refreshed Oct 16, 2026
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๐ ๐ ๐ ๐ช ๐ง - Developer context continuity system. Watches your git repos and builds a temporal knowledge graph of modules, symbols, decisions, and open problems via Graphiti + Neo4j, then serves it to any AI coding agent over MCP. Every edge carries a validity window and a confidence score that decays over time. 12 tools across read and write. Install via npx -y stifler-memex-mcp. MIT licensed.
Best for
Teams evaluating AI models, assistants and generative workflows, particularly AI agents that connect over MCP โ source available on GitHub.
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
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Evidence summary
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
Catalogue confidence
Catalogue data checked Oct 27, 2026.
GitHub-backed record with source-attributed context.
Repository context
memex: trusted engineering context for agentic software engineering
GitHub / STiFLeR7/memex
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- Catalogue updated Oct 27, 2026
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