Persistent memory engine for AI coding agents featuring auto-capture hooks, triple-stream hybrid retrieval, and 4-tier memory consolidation to eliminate re-explanation across sessions.
A local-first knowledge compiler for AI agents, built on the LLM Wiki pattern, compiling raw materials into persistent markdown wikis, knowledge graphs, and hybrid search engines.
An MCP server that optimizes context windows for AI coding agents through sandboxed execution, session persistence, and output compression — reducing context consumption by up to 98%.
A local knowledge graph engine that transforms code repositories, documents, papers, audio/video into queryable structured graphs, designed as a skill for AI coding assistants.
A portable memory layer for autonomous coding agents that provides persistent, structured context through LLM-curated hierarchical context trees with cross-session retention and team sharing.
An Obsidian community plugin that integrates AI coding agents (Claude Code, Codex, Gemini CLI, etc.) into the vault via the Agent Client Protocol, featuring note mentions, multi-agent sessions, terminal integration, and chat export.
The agent engineering platform for building context-aware reasoning applications.
A GitHub repository maintained by RichmondAlake. Due to technical limitations, page content could not be accessed. Specific functionality, tech stack, and use cases require manual verification.
A self-learning vector database integrating GNN-driven search optimization, local LLM inference, Cypher graph queries, and a PostgreSQL vector extension, deployable from WASM embeddings to Raft-distributed clusters.
The Zero-Server Code Intelligence Engine that indexes any codebase into a knowledge graph, providing AI Agents with deep architectural insights and call-chain tracing via MCP protocol.
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