MCP servers and skills: search, filter by where they run, and compare.
Open-source coding agents memory. Records issues, attempts, fixes and decisions, then warns your agent before it repeats an approach that already failed. Native MCP server for Claude Code, Cursor, Ant
PythonMIT★ 866No key
Coding agent memory for Claude Code, Codex, Cursor and 39 more, built from the session history already on your disk. Local search, MCP and hooks, no LLM, one Go binary.
GoMIT★ 1.2kNo key
Track work, verify results, carry memory, and sync tools across coding agents. Local files, no daemon.
PythonMIT★ 77No key
A lightweight, powerful local memory server for AI agents supporting text, entities, and relations. Enables persistent codebase understanding and user preference management.
Node.jsMIT★ 60No key
A living local memory layer for your coding agents and AI tools.
MCPLink only★ 17
Persistent project-aware memory for AI coding tools. Built on MCP. Works with Codex, Claude Code, and other MCP-compatible clients.
Node.jsMIT★ 15No key
Prevent AI coding agents from acting on stale code context with source-aware freshness checks and hard stale gates.
PythonMIT★ 2Few starsNo key
PythonMIT★ 7No key
Local-first persistent memory MCP server for AI coding agents. Rust + SQLite FTS5, zero dependencies.
SkillMIT★ 1Few starsNo key
Local-first multilingual memory for Codex, Claude Code & MCP — auditable Qdrant recall, project isolation, and a single-instance desktop tray.
GoMIT★ 3Few starsNo key
Adopt repository-level harness engineering for coding agents. Use when a user wants to prevent repeated AI coding-agent mistakes by turning failures into durable instructions, drift checks, regression
OfficialSkillMIT★ 40k in collectionNo key
Write a coding standards document for a project using the coding styles from the file(s) and/or folder(s) passed as arguments in the prompt.
OfficialSkillMIT★ 40k in collectionNo key
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, e
PythonApache-2.0★ 127kNo key
A Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.
OfficialNode.jsMIT★ 6.5kNo key
Manage durable working-session memory for coding agents. Use when a user asks to preserve or recover agent context across disconnects, VS Code restarts, long-running work, handoffs, or any session whe
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Processes GCP infrastructure design and deployment workflows within Application Design Center (ADC). Use when: - Designing GCP infrastructure with Terraform. - Validating local HCL. - Performing best-
OfficialSkillApache-2.0★ 21k in collectionNo key
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
PythonApache-2.0★ 76kNo key
from vibe coding to agentic engineering - practice makes claude perfect
SkillMIT★ 68kNo key
Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo w
PythonMIT★ 32kNo key
Use when the user asks about finding the best, top, or recommended model for a task, wants to know what AI model to use, or wants to compare models by benchmark scores. Triggers on: "best model for X"
OfficialSkillApache-2.0★ 11k in collectionNo key
《深入理解 AI Agent：设计原理与工程实践》（李博杰 著）开源主仓库：全书正文、编译版 PDF 与按章配套代码
SkillApache-2.0★ 55kNo key
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 162 languages, sub-ms queries, 99% fewer tokens. Single static binary
SkillMIT★ 47kNo key
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