Persistent project knowledge graph for coding agents. MCP server with semantic search, in-process embeddings, and web explorer.
~97% token reduction for AI coding sessions — zero deps, 38 languages, MCP server
Symbol Delta Ledger (SDL-MCP) is a policy-centered context budget layer for coding agents: Symbol-graph intelligence combined with precision tools. It turns sprawling codebases into compact, high-signal context that saves tokens, speeds up workflows, and improves agent output.
DeepContext is an MCP server that adds symbol-aware semantic search to Claude Code, Codex CLI, and other agents for faster, smarter context on large codebases.
🚀 Desktop tool for extracting code context to enhance AI-assisted development. Visualize project structure, export multiple files with one-click, and get more accurate suggestions from AI assistants while keeping your code private.
Your coding agent starts every session blank. Rekal is the memory your team is missing
VS Code extension that streamlines development workflows through AI-powered task execution, intelligent file management, and automated code generation. Built on Cline, it integrates with various LLMs to enhance productivity and code quality while simplifying complex development tasks.
Stop your coding agent reading the wrong files. Compiler-grade TS/JS repo map — 100% precision on blast radius vs grep's 60%, measured on public repos. CLI + MCP server, fully local, no vector DB.
A budget-aware context compiler for coding agents - scan, grade, spark-test for secrets, and pour a hard-budget context pack with a stamped manifest.
Turn any folder or Git repo into safe, token-efficient context for LLMs, AI chats, and coding agents like Claude Code, Codex, and Cursor — local-first GUI, TUI, CLI, and a read-only MCP server with Live Context, agent journal, Smart Ignore, secret/PII redaction, Git scopes, and code compression. Windows, macOS, Linux.
Emacs package that provides code context or breadcrumbs similar to context.vim, topsy or vscode's sticky scroll feature. Like a stepping stool for your window.
A better "ls". View folder structures and copy entire codebases for prompting LLMs (works with gitignore)
CLI tool & MCP server that turns a codebase into text for an LLM to see its context — feed code to ChatGPT, Claude, or any AI coding assistant
Smart code context extractor for AI assistants
Vectorless code retrieval for AI coding agents — search code by business intent (@intent, @domainRule) over a Tree-sitter graph. Built for MSA via MCP.
About Essays, and Poc on using runtime evidence to build cleaner code context for AI to reduce hallucinations.
Universal project extractor for LLMs — turn any local codebase into clean, structured, AI-ready data.
Parse code context in a single line of javascript, for functions, variable declarations, methods, prototype properties, prototype methods etc.
Persistent context engine for Claude Code — turn any codebase into a .context/ folder Claude navigates instead of grepping. Deterministic AST backbone (tree, symbols, graph, conventions) + a multi-agent council that fills in the judgment.
pmc(pack-my-code): A tiny binary tool that “packages” your project code, suitable for sending to large language models.
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