knowledge-graph — independent software & tools
-
grounded-reasoning
Zero-token, precision-guaranteed relation-algebra verifier for LLM/agent multi-hop reasoning
-
agent-forge-cli
Memex.ai-Inspired AI Knowledge Base 2026 - Smart Markdown Wiki with Graph Search & Static Publishing
-
akashic-aurora
Memory for AI agents that learns what actually helped: lessons injected at the moment of action, credited by outcome, challenged by counter-evidence. Local-first, multi-agent, test-gated.
-
gnosis
Gnosis is a Greek noun meaning "knowledge" or "awareness"
-
omadia
Self-hostable agentic OS. Build, run & audit multi-agent AI teams from signed plugins. Bring your own LLM key, own all your data, EU/GDPR-ready.
-
gaia-skill-tree
Gaia is a living, open registry of every AI agent skill in existence — structured as a leveling skill graph. Basic skills combine into Extras, Extra Skills evolve into Ultimates. Fork it, extend it, PR a fusion. The complete skill frontier of AI agents, mapped and growing.
-
open-mind
Understand any unfamiliar codebase in an afternoon — a local, deterministic, source-traceable knowledge index (glossary · graphs · code search) that never invents what isn't there.
-
agent-infrastructure-landscape
AI agent memory & infrastructure landscape — comparative catalog of 912 systems × 68 columns covering memory layers, agent frameworks, runtimes, vector stores, knowledge graphs, MCP servers, benchmarks. Searchable with typed edges, lineages, citations.
-
khive
A knowledge graph your AI agents build, query, and grow. Built for agents that need structure beyond vectors
-
willow-2.0
Willow 2.0 — local-first memory, MCP tools, and fleet coordination for AI agents. Postgres KB, Ollama default, Grove LAN remote.
-
ai-mind-map
🧠 MCP Server that reduces AI coding agent token usage by 80-99%. Knowledge graph + persistent memory + smart compression for Claude, Cursor, Copilot, and any MCP-compatible agent.
-
sophia-agi
Wisdom before intelligence. A provenance-aware reasoning layer that abstains instead of fabricating — stops LLMs inventing attributions and merging distinct traditions. Measured: 0% fabrication on unknown-answer traps (vs 17–25% raw); −12.5pt hallucinated attributions at 0% false-positive cost. An AGI-candidate proof package, not proven AGI.
-
@andespindola/brainlink
Local-first knowledge memory for agents with Markdown, backlinks, indexing and context retrieval.
-
@calebux/agent-kit
Infrastructure for autonomous agent economies — identity, reputation, payments, governance, discovery, coordination, and audit on Celo and Stellar. Also works fully off-chain with persistent memory, agentic loops, and tool-use.
-
claude-mem
Memory compression system for Claude Code - persist context across sessions
-
@davesheffer/hunch
Architectural Conformance for AI-generated code: a git-native graph that deterministically blocks AI changes which break your architecture — the semantic invariants (layering, must-reach, dependency direction) pattern-SAST can't express — grounded in the
-
gitnexus
Graph-powered code intelligence for AI agents. Index any codebase, query via MCP or CLI.
-
loomlog
Local, cross-agent dev journal for Claude Code, Codex & Gemini CLI — passively weaves your AI coding sessions into an Obsidian-compatible vault.
-
@oomkapwn/enquire-mcp
MCP server giving AI agents (Claude Code, Claude Desktop, Cursor, ChatGPT, Codex, OpenClaw) persistent long-term memory backed by your local Obsidian markdown vault. Hybrid retrieval (BM25 + ML embeddings + BGE reranker, RRF-fused), HNSW + int8 quantizati
-
@polarity-lab/cosmos-mcp
MCP server for the Polarity exocortex. Read and write your personal knowledge graph from any LLM client.
-
@sentropic/graphify
AI coding assistant skill (Claude Code, Codex, Gemini CLI, Kimi Code, GitHub Copilot CLI, Aider, OpenCode, OpenClaw) - turn any folder of code, docs, papers, images, or audio/video transcripts into a queryable knowledge graph
-
wendkeep
Automatically capture AI coding agent sessions (Claude Code, Codex) as local Markdown in your Obsidian vault — turn-by-turn history, cost/token tracking, auto-extracted decisions/bugs/learnings, rendered in the graph. Local-first.
-
claude-memory
Enable persistent memory for Claude that works across crashes and restarts in both Claude Code and Claude Cowork environments.
-
neurostack
Index and search Markdown vaults as knowledge graphs to provide AI agents with persistent, structured long-term memory across sessions.
-
amazon-sorftime-research-MCP-skill
Analyze Amazon listings and categories using Sorftime MCP to deliver detailed competitor insights and automated product selection.
-
HoloScript
The semantic layer for spatial computing and AI agents — write once, run as VR, robotics, web, or game.
-
twining-mcp
Agent coordination MCP server — shared blackboard, decision tracking, and context assembly
-
openclaw-memory-kit
Provide AI agents on OpenClaw with a full memory system for context saving, auto backups, file management, and session recovery.
-
graph-memory
Manage and compress long conversation histories into structured knowledge graphs to improve context retention across sessions.
-
MengKeCloud
Manage customer acquisition, follow-up, and contracts efficiently with an intelligent CRM tailored for franchise and investment businesses.
-
graphRAG-retrievers-agents
🚀 Explore GraphRAG by building customized retrievers and agents using Neo4j for advanced semantic and hybrid search solutions.
-
mnemo
Persistent memory layer for Claude Code — Obsidian vault health, connection discovery, brain dump, session notes, email bridge. Five lightweight skills, CLI-first, any taxonomy.
-
demarkus
De-centralized - markdown - for us: an information web adjacent markdown protocol for knowledge sharing between humans and agents, humans to humans, agents to humans, and agents to agents
-
claude-recall
Automate repeated Claude Code workflows by capturing and converting them into reusable skills for faster, consistent task execution.
-
rorschach
Intelligence without consciousness. Process without self. Scale without limit.
-
LaunchPad-v2
AI founder co-pilot that validates startup ideas through a 7-stage journey — autonomous competitor watchers, signal-to-knowledge graph, approve-first agent actions, real-time market research. OpenClaw-inspired multi-agent architecture on Next.js + PostgreSQL + Claude.
-
braindb
Create a reliable memory system for AI agents that captures meaningful interactions, aiding recall and enriching user experience through semantic understanding.