301 tagged knowledge graph, measured the same way as everything else here.
Browse within: agent-memory 37ai-memory 35local-first 30knowledge-base 27embeddings 18graph-database 18knowledge-management 17python 16fastapi 14code-intelligence 12graphrag 10ontology 10markdown 9obsidian 9
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Claude Code instructions for Lumen-Labs/brainapi2, a project described as: BrainAPI is a knowledge graph–powered AI memory layer that transforms unstructured data into structured knowledge, enabling intelligent search, recommendations, and contextual memory for AI agents and applications.
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Instructions for varun29ankuS/shodh-memory, covering shodh-memory project instructions, must rules, code standards, persistent memory (shodh-memory mcp) and codebase map.
Instructions file CodexOpenCode
AGENTS.md instructions for qualixar/superlocalmemory, covering gitnexus — code intelligence, always do, never do, resources and cli.
Instructions file GitHub Copilot
Copilot instructions for qualixar/superlocalmemory, covering superlocalmemory (slm) — agent rules, session start, remember, recall and optimize (fail-open).
Instructions file CodexOpenCode
Instructions for FreePeak/LeanKG, covering leankg — agent context, build & test, cli quick reference, mandatory: docker mcp project paths and tool discovery prefer-order.
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Instructions for FreePeak/LeanKG, covering leankg - ai agent context, project overview, quick start, index a codebase and calculate impact radius.
Instructions file Gemini CLI
Instructions for FreePeak/LeanKG, covering leankg - ai agent context, project overview, quick start, index a codebase and calculate impact radius.
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Instructions for davidliuk/graph-of-skills, covering graph of skills — claude code integration, setup, prerequisites, auto-discovery (recommended) and manual registration.
Instructions file CodexOpenCode
Instructions for joshuaswarren/remnic, covering remnic - agent guide, architecture boundaries (non-negotiable), upstream references, adapter implementation rules and openclaw compatibility window.
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Instructions for joshuaswarren/remnic, a project described as: Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.
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Instructions for samyama-ai/samyama-graph, covering claude.md, project overview, build & development commands, build and run tests (1814 unit tests).
Instructions file CodexOpenCode
Instructions for Coding-Dev-Tools/engraphis, covering agents.md — engraphis, 0. read this first — two architectures live in one package, 1. commands, ── unified dashboard + memory inspector ── and 2. the v2 recall pipeline (where the real work is).
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Instructions for Coding-Dev-Tools/engraphis, covering claude.md, the one rule that prevents most mistakes, before you say "done" — run the canonical gate, slash commands available here and working style in this repo.
Instructions file CodexOpenCode
AGENTS.md instructions for ThHanke/ontosphere, covering ontosphere — agent guide, live instance, 200 = ready, mcp tool surface and how to call tools.
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Claude Code instructions for ThHanke/ontosphere, covering project guidelines, documentation, demo videos, owui relay sessions and background task output.
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Instructions for devwhodevs/engraph, covering engraph, architecture, key patterns, data directory and dependencies to be aware of.
Instructions file CodexOpenCode
Instructions for TianGzlab/OmicsClaw, covering agents.md — omicsclaw guide for ai coding agents, repository working contract, project overview, setup and pip install -e .
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Instructions for TianGzlab/OmicsClaw, covering claude.md — omicsclaw agent instructions, repository maintenance contract, agent skills, issue tracker and triage labels.
Instructions file CodexOpenCode
AGENTS.md instructions for dnotitia/akb, covering akb project guide, architecture, frontend design system, 2-layer mcp architecture and deployment.
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Claude Code instructions for dnotitia/akb, covering claude guide for akb, mission, default work loop, pm collaboration and docs state machine.
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Instructions for NickCirv/engram, covering codebase structure (auto-generated by engram), core entities, structure and key dependencies.
Instructions file CodexOpenCode
Instructions for apache/hugegraph-ai, covering agents.md, stack & modules, testing expectations, code search anchors and build & test.
Instructions file CodexOpenCode
Instructions for romarayt/raytsystem-public-os, covering raytsystem — agent routing, invariants, commands, skill routing and documentation.
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Instructions for romarayt/raytsystem-public-os, covering compatibility pointer and documentation synchronization.