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Autonomous multi-change orchestration for Claude Code — spec in, merged features out. Sentinel supervisor, parallel worktrees, developer memory, and more.

Python·MIT·★ 36·No key

Find and govern AI attack surfaces in application code, at PR time and inside your AI coding tool (MCP server, Claude Code hook). Free, OSS, runs offline.

Python·MIT·★ 137·No key

MCP tools for Novyx governed actions, shared memory, audit, rollback, and evidence workflows.

Python·MIT·★ 30·No key

Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.

Python·MIT·★ 742·No key

A Model Context Protocol (MCP) server for Zammad integration, enabling AI assistants to interact with tickets, users, and organizations.

Python·AGPL-3.0·★ 45·No key

AINL helps turn AI from "a smart conversation" into "a structured worker." It is designed for teams building AI workflows that need multiple steps, state and memory, tool use, repeatable execution, va

Python·Apache-2.0·★ 650·No key

Memory Engine is a local-first MCP server that gives coding agents persistent, evidence-backed project memory. It automatically builds a project knowledge base, retrieves relevant architecture, constr

Python·MIT·★ 127·No key

Zaxy turns agent work into durable, auditable memory: a hash-chained Eventloom log as the source of truth, an embedded temporal knowledge graph for reasoning (local-first, no sidecar; Neo4j/Postgres o

Python·MIT·★ 17·No key

Typed long-term memory for AI agents. One core, an MCP server, and a Hermes plugin.

Python·MIT·★ 28·No key

An MCP server for dataset generation, fine-tuning, RL, and evaluation of LLMs — directly from your coding agent.

Python·MIT·★ 16·No key

Local RAG layer and optimizer for your Markdown knowledge base. CLI + MCP server: grounded answers for any AI client, stale-note detection, session harvesting into memories. Local-first.

Python·Apache-2.0·★ 47·No key

MCP server for reading and editing Word (.docx) documents with track changes, comments, footnotes, and structural validation

Python·MIT·★ 64·No key

Deterministic code-graph context engine for AI coding agents - PostgreSQL + Apache AGE + pgvector, MCP & REST, no LLM in the loop.

Python·MIT·★ 75·No key

Multi-model consensus debate via the filesystem. LLMs propose, peer-review, rebut, vote and synthesize a group-confirmed answer. CLI + MCP.

Python·MIT·★ 13·No key

🔌 Exposes Document processing toolkit: extract text from PDFs, convert to Markdown, merge files, extract tables, and summarize documents. By MEOK AI Labs.

Python·MIT·Few stars·No key

Find out what your coding agents already know. Docmancer indexes the memory, rules, and instructions Claude Code, Codex, Cursor, and Gemini wrote on your machine, then carries the durable parts to eve

Python·MIT·★ 130·No key

The Python Package Manager (PPM) with persistent memory MCP tools inside Contextplus supermodeltools and context7

Skill·MIT·★ 15·No key

A Model Context Protocol (MCP) server for creating, reading, and manipulating Microsoft Word documents. This server enables AI assistants to work with Word documents through a standardized interface,

Python·MIT·★ 2.1k·No key

MCP server that finds real dead code (vulture + deptry) and proposes a branch+PR for the one class safe to auto-remove -- unused imports, gated on a real full test-suite pass. A human always merges.

Python·MIT·★ 1·Few stars·No key

MCP server giving LLMs the ability to design, simulate, and analyze SPICE circuits via LTSpice and NGspice

Python·GPL-3.0·★ 59·No key

mssql mcp server

Python·MIT·★ 39·No key

File-first MCP memory for coding agents

Python·MIT·Few stars·No key