Local-first shared memory and task coordination for AI coding agents. One Go binary, MCP server, markdown files you own. Hooks for Claude Code and Codex CLI (and their desktop apps).
OAuth2 Authorization Server with MariaDB, Docker OpenTelemetry LGTM, and Redis Integrations with Spring Boot 4, Java 26 and Docker. Integration Tests with Testcontainers and unit Tests with Junit 5, a
Source-backed local memory shared by Claude Code, Codex, pi, and MCP clients. No generative LLM.
A memory of the codebase your AI agent can't get from grep: a persistent call graph, semantic search, and per-symbol review learnings over any repo. Self-hosted MCP server — Go, tree-sitter, Apache AG
Self-hostable, git-native knowledge base & AI memory (MCP) — your notes stay plain Markdown files in your own git repo. Pure-stdlib Python, no database. AGPL-3.0.
One Rust binary that runs sandboxed AI coding agents on Linux under a budget, in two modes: swarm mode runs 1 to 30 Pi agents on one goal, and agent mode is an always-on agent that takes requests from
Run FiveM resources (Lua, JavaScript and NUI) in your browser and in CI. No GTA V, no server, no restarts.
CLI and MCP server that turns your GitHub PRs and JIRA tickets into a searchable markdown work log for performance reviews and resumes.
Local MCP server to assist coding agents with Minecraft mod development
Stop letting your AI coding agent grep its way through your codebase. One local binary gives it a real map of how your code connects — no cloud, no Python daemon.
Dotfiles for your AI agents: one ~/.agents repo for skills, MCP servers, hooks, agent roles and memory, synced natively into 15 coding agents (Claude Code, Codex, Gemini CLI, Cursor, Pi, OpenCode and
Official multi-language SDKs (TypeScript / Python / Go) and MCP server for apiz.ai
MCP server for AI-powered codebase intelligence
Detects AI-hallucinated (slopsquatted) Python packages before they get installed. CLI + stdio MCP server for AI coding agents.
Map your codebase for you and your AI agent: gitignore-aware trees, PRs as trees, hotspots, token-budgeted LLM project maps, and an MCP server.
A Rust SDK for the Model Context Protocol (MCP) that reduces boilerplate through a unified `#[mcp_server]` macro.
CLI verification server for coding agents — static analysis, sandboxed execution, property-based fuzzing, and repair loops (Rust)
A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools
Java Code Map for Agents. MCP server providing Java code base navigation tools. Full Java symbol resolution. A token-economical alternative to grep and LSP servers.
An MCP server that lets AI agents interact with terminal sessions through tmux
DAP MCP Server - Debug Adapter Protocol for AI Agents. Enable AI coding agents to programmatically debug applications across multiple programming languages.
Secure, scoped filesystem MCP server for ChatGPT and other MCP clients — read-only by default, with controlled mutations, binary transfer, native Codex/Claude/Qoder runtimes, generic ACP v1 profiles,
Local-first, multi-provider tool that captures LLM API spend and exposes it to coding agents via MCP
Karni is an open-source Django + React framework for building with AI coding agents. Your agent writes only your domain. The API, admin, permissions and React screens come from a package you upgrade,
Terminal UI for BoJ local-coord-mcp — peer discovery, task coordination, and window titling for multi-instance AI sessions
Shared rooms, messages, file locks and task claims for AI coding agents from any vendor.
Kerberos/SPNEGO single sign-on for MCP servers in FreeIPA environments. Provisioning framework for Windows (via WSL), Linux and macOS development environments.
MCP Connector to use with IAR C-SPY Debugger
GoCode is a lightweight, high-performance terminal AI coding agent written in Go. It operates directly inside your terminal, assisting you with code generation, debugging, refactoring, file inspection
IssueOps agent harness: team memory for coding agents. Cautions and ADRs ship in the same PR as the code. Works with Codex, Claude Code, Omo, omp, and opencode.
A secure, highly capable MCP server written in Rust. It exposes a comprehensive suite of filesystem operations as tools for AI agents.
Foundgine lets callers express intent while your application decides what's allowed, safe, and executed
Autonomous headless Ghidra 12 reverse engineering for Pi, omp, and MCP clients: decompile, xrefs, call graphs, strings, memory, and patches without the GUI.
Correctness-oriented MCP server and batch CLI for compact structural reads and reviewed TypeScript/JavaScript edits.
Local-first persistent memory MCP server for Claude Code, Codex, Cursor, Qwen Code, and AI coding agents. Cross-session, cross-agent SQLite memory.
The policy layer for AI coding agents. aiZee governs what Cursor, Claude Code, Copilot, Windsurf, Devin & MCP agents may do — 139 enforcement gates, 29 personas, 245 skills, BMAD runtime, hybrid memor
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