burkan2/hSUM

The Private Context Layer & Super Brain for Your Codebase. Give AI agents persistent memory, deep dependency graphs, and instant code context

Persistent, searchable engineering memory for AI coding agents. Saves ~50% tokens and ~30% time while planning

CodeStory is a codebase grounding engine that preindexes code into a knowledge graph and enriches it with semantic context. Paired with coding agents, it results in fewer tokens, fewer tool calls, and remains 100% local.

Retrieval tools for coding agents, no model in the loop: SOTA-competitive files, search, read, code_pack and write_note over the folder your session is opened in, served over MCP.

OpenCodeRAG is a RAG (Retrieval-Augmented Generation) plugin for semantic code search powered by locally-hosted embedding models. It features a seamless integration with OpenCode and other AI tools via MCP and offers a CLI interface for external usage. It offers hybrid search, image description, persistent memory and local decision model usage.

AI Agent Context Engine — give your coding agent a brain beyond code

Deep code indexing MCP server for AI agents. 25 tools: hybrid FTS5 + embedding search, call graphs, git blame/hotspots, build system analysis. Multi-repo workspaces, GPU-accelerated semantic search, 10 languages via tree-sitter. Fully local, zero cloud dependencies.

Sourcebot is a self-hosted tool that helps humans and agents understand your codebase.

Local-first, evidence-aware project memory for AI coding agents.