Havuz

CodeMonk 🥋 —>An open-source AI powered code intelligence platform that helps developers understand, explore, and navigate complex codebases

Local-first AI knowledge app and Agent Skill with evidence-backed Wiki, an interactive knowledge universe, Viki Q&A, and shareable knowledge

A dual-path memory system for proactive agents. Facts and procedures in a local knowledge graph, exposed as a CLI, MCP tools and skills. No

AI learning harness with interactive maps of topics and prerequisites. Available as a ChatGPT plugin and an open-source desktop app.

In-memory graph database and Gremlin traversal engine in Rust: browser playground, CLI, MCP server for AI agents, durable store, Python bind

Framework-aware code intelligence MCP server — 91 framework integrations, 81 languages, 72.7% fewer input tokens to review a pull request, c

Self-hosted shared memory for AI agents: vaults of people, facts and decisions your agents recall over MCP or REST, with semantic, keyword a

CodeWiki is a knowledge platform that analyzes repositories into AST graphs, builds GraphRAG indexes, and generates source-grounded develope

AKB — Agent Knowledgebase. Organizational memory for AI agents: vault-scoped docs / tables / files unified by URI graph, served over MCP.

PhantomCrowd AI Marketing Simulator 2026: Content Spread Forecasting with Local LLM

Local-first cross-session long-term memory for DeepSeek Harness — 22 narrow tools, hybrid FTS5 + local-vector retrieval, evidence gate, prov

Persistent knowledge-graph memory for AI agents: MCP server on SurrealDB with spreading activation and decay

Open-source GraphRAG domain knowledge layer: LLMs continuously distill scattered skill docs into a queryable, evolvable, human-editable two-

Open-source, real-time collaborative AI canvas - notes, mini-apps, and agents on one infinite board.

Knowledge-graph RAG built from structured metadata instead of LLM extraction. 929M edges, zero LLM calls, 83.2% on held-out PubMedQA. Case s

A Large-Scale Knowledge Graph for Automated Scientific Research

Cognitive memory database for AI agents — consolidates duplicates, detects contradictions, fades stale memories via temporal decay. Rust, Ap

A lightweight embedded database engine that natively fuses vector search, graph, and document-oriented metadata within a single storage kern

Write papers as graphs. Inspect propositions and relationships, and collaborate with AI agents in a local Windows workspace.

Knowledge graph and context manager for AI coding agents: Claude Code, Codex, Gemini CLI, Cursor, Copilot and local models. Code map with Pa

Search, archive, and recall your AI conversations. ChatGPT, Claude, Gemini, Grok, Kimi. Local-first, MIT licensed.

Context layer for AI agents in vertical SaaS: domain events in, a bitemporal context graph per end-customer out, five MCP tools for every ag

ForgeDock — autonomous AI dev pipeline for Claude Code. GitHub as agent memory: issue in, PR out.

Understand what your codebase builds, why it is structured that way, and what a change could affect. One shared Markdown ontology for human

Local knowledge graph for AI agents. Hybrid search + MCP server for Obsidian vaults.

High-performance Knowledge Graph engine for AI, LLMs, and GraphRAG — built for the next generation of intelligent applications.

Local-first, governed documentation for humans and AI agents—mirror Office, PDF, and GitHub sources into linked Markdown knowledge workspace

Git for AI Agent Knowledge. A persistent, versioned memory layer for AI systems. Hybrid GraphRAG retrieval. Runs entirely offline.

The context spine that 10x's every AI coding session. Live in 8 IDEs (Claude Code, Cursor, Cline, Continue, Aider, Codex, Windsurf, Zed) via

Lives inside your Claude Code session. Capture work as structured experience, then render resumes, Korean cover letters, interview answers,

A typed, permission-aware model of your business data.

Agent Skills for small-molecule and protein therapeutics: cheminformatics, molecular ML, docking and dynamics, protein design platforms, and

Persistent memory for AI coding agents: automatic capture, explainable recall, knowledge consolidation, privacy controls, and portable offli

English translation of MiroFish (github.com/666ghj/MiroFish) - A concise and universal swarm intelligence engine for predicting everything.

Memory that remembers the story not just the facts. File System Memory and Three layer sentence graph for AI agents -> Facts, Episodes, raw

Synapse — Temporal knowledge graph memory for AI agents. Self-hosted FalkorDB + Graphiti with hippocampus-layer memory management.

Local-first AI daemon for Logseq OG: background semantic indexing, link hygiene, and agent-ready CLI/MCP — edits Markdown on disk (no cloud,

An agent skill to evolve the quality of LLM-Wiki (Graphify) at test time.

Zero-config entity resolution feeding a durable identity layer: messy records from any source become stable golden entities, a Customer 360

A cognition aware database engine for AI agent memory. Purpose built in Rust with WAL, HNSW, knowledge graphs, and speculative context pre a

DreamGraph is a graph-governed conceptual development environment (CDE) that turns plans, architecture decisions, and project knowledge into

Design a labeled property graph once. Generate LadybugDB DDL, Neo4j constraints, SHACL shapes and an OWL ontology from it. VS Code extension

An "LLM wiki" upgraded to a real database — typed entities, graph relations, HTTP API, and a built-in natural-language agent.

Local semantic code intelligence, project memory, and workflow context for AI coding agents.

Cognee Rust - fast and performant AI memory engine

AST-powered code intelligence engine. Graph database + hybrid semantic search for 62 languages. Zero LLM dependency. Runs locally.

OpenGraphMemory : Self-hosted knowledge graph extraction, temporal graph storage, and agent memory platform.

Second Brain automation for Obsidian vaults — entity management, ingestion, compression, and sync via Claude Code skills

High-performance Knowledge Graph engine for AI, LLMs, and GraphRAG — built for the next generation of intelligent applications.

MyKG Knowledge Graph Engine: Turn raw files into knowledge graphs with induced ontology