Local semantic code graph + MCP server for AI coding agents (Rust, Tree-sitter, SQLite)
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Updated
Jun 22, 2026 - Rust
Local semantic code graph + MCP server for AI coding agents (Rust, Tree-sitter, SQLite)
Run coding tasks across Codex, DeepSeek, Claude Code in parallel. Zero deps, pure Python.
The official framework for the Code Understanding and Reasoning Agent (CURA)
Close your MacBook and let your AI coding agents keep working. A small macOS menu-bar app for Apple silicon that stops the lid from suspending long-running work.
The content studio built for agents: slides, carousels, stories, thumbnails, and OG images as React components.
Working practices for shipping production software with coding agents — extracted from running a live multi-tenant B2B SaaS solo.
Open-source AI coding cheat sheets for Claude Code, Codex, Cursor, Copilot, Gemini CLI, MCP, AGENTS.md, CLAUDE.md, prompts, workflows, and team security.
Persistent, shared memory for AI agents - so they stop forgetting and stop colliding. Markdown-native, on-prem, auditable. Speaks MCP.
File-level isolation for AI coding agents: run parallel implementation lanes without git worktrees.
Local-first agent operating system for durable AI coding: task graphs, deterministic context packs, executable delegation, verification evidence, and approval gates.
Self-hosted federated runtime for observable coding-agent organizations: signed graph nodes, distributed runners, Nostr coordination, and git-backed artifacts.
Cross-platform Python library and CLI for bounded subprocess execution with timeouts, output limits, process-tree cleanup, and health checks.
A local-first taskboard and CLI for coding-agent workflows.
Archived experiment: approval-gated workspace runtime for AI coding agents.
Shared local memory and coordination for concurrent AI coding agents
Explain and safely stop dev servers left running by coding agents.
State-driven, verifiable, low-context delivery workflow for AI coding agents.
Deterministic, evidence-based build harness for autonomous coding agents — FSM sprint gates, execution-evidence verification, and adversarial critics. Proof, not opinion.
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