An MCP server plus a CLI tool that indexes local code into a graph database to provide context to AI assistants.
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Updated
Nov 5, 2026 - Python
An MCP server plus a CLI tool that indexes local code into a graph database to provide context to AI assistants.
Cross-language-safe code-intelligence MCP for AI agents: 13 languages, family-gated call graph, blast radius, health grading, 8 facade tools, JSON envelopes, 100% local. Run miswire-audit on your repo.
A branch-aware, dual-revision epistemic ledger and control plane for AI coding agents. From requirements and isolated work to validated changes and durable, queryable project truth.
Persistent memory for AI coding agents: decisions, rules, API contracts, and system topology served over MCP to Claude Code, Cursor, Codex, and Gemini CLI. Powers AI pull request review, issue triage, and a local-first code graph that syncs to the cloud. Self-hosted, 100+ models via LiteLLM.
Your coding agent starts every session with amnesia — memo fixes that, 100% on your machine. Persistent memory for Claude Code, Codex, Cursor & any MCP client: Markdown source of truth, hybrid search (MLX/CPU + sqlite-vec), time-machine, contradiction radar, nightly self-optimization. No cloud, no keys.
MOVED to github.com/professorpalmer/marionette -- this repo is archived. Marionette: a desktop AI coding harness over Puppetmaster durable state.
Job offers scrapper, AI enrichment & UI search & management tool
Agent-driven code intelligence engine: Python/FastAPI agent orchestration, Rust/Axum code graph and context compression, plus a React + Vite WebUI. Early-stage, work in progress.
🤖 Just a skill to let AI generate documents based on your source code 🔅
MCP server that gives Claude Code the rationale behind a symbol before editing - synthesized from git history, PRs, and call-graph context.
Pre-edit benefit-risk analysis for coding agents.
Local-first memory and workflow plugin for AI coding agents: Codex, Claude Code, agent preferences, project lessons, and delivery rules.
🔥 持续分享热门 AI 开源项目源码深度剖析学习笔记 | Deep-dive source-code analysis of trending AI projects
FEFO — Flow Execution via Federated Ontology: OpenCode-first whitelabel workspace for federated repositories
Code intelligence MCP server — let AI assistants explore your entire codebase, find callers, and trace impact in one query.
Windows-first, resource-governed MCP runtime for local developer workstations with durable execution, scoped filesystem access, search, and developer-context backends.
AEGIS 2.0: multi-agent code repository analysis system with CodeGraph, source-grounded RAG, and agent handoff for the Volcano Cup intelligent agent competition
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