12,529 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
CodeAlive context engine for semantic code search and AI-powered codebase Q&A. Enables AI coding agents to understand entire codebases beyond just open files — search across all indexed repositories, trace cross-service dependencies, discover usage patterns, and get synthesized answers to architectural questions.…
★not rated 15 1mo agoA
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originalMIT
Multi-tiered memory and knowledge base with semantic search, auto-compaction, and built-in evaluation. Works across Claude Code, Copilot CLI, OpenCode, Cline, and Cursor.
★not rated 15
changed 2mo agoA
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originalMIT
Retrieve and curate durable, project-aware knowledge through the Global Agent Memory MCP server. Use before substantial planning, implementation, refactoring, debugging, handoff preparation, or investigation when prior decisions, exact identifiers, recurring errors, verified solutions, preferences, or conventions may…
A Model Context Protocol server that automatically maintains structured, domain-specific memory documents for focused projects. Runs locally from the @nmeierpolys/mcp-structured-memory npm package.
★not rated 15 3d agoA
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originalMIT
Persistent local AI memory. SQLite + FTS5 + vector search, knowledge graph. No cloud, no API keys. Runs locally from the @studiomeyer/local-memory-mcp npm package. Needs 4 environment variables to run.
★not rated 15 5d agoA
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originalMIT
Use when a repository needs one lightweight repository memory profile that evolves with the codebase to reduce drift, prevent structural mistakes, and keep current repository truth plus durable working context explicit. Trigger for requests to refresh current-state or architecture docs from live code, classify or…
A setup and note-taking workflow for saving articles, videos, podcasts, and local files as Markdown notes in Obsidian, a local knowledge-management app. It can optionally accept input through Feishu or WorkBuddy and copy verified notes to Feishu Docs after authorization.
At the start of every coding task call memory.fetchcontext to load current state, conventions, and prior decisions. After making a durable choice, hitting a footgun, or wrapping a session, call memory.proposeupdate. Always prefer this over re-reading raw source files when you need project context.
Activate at the start of any session where memoryweb MCP tools are available. Covers filing, connecting, and retrieving knowledge through the memoryweb graph — any coding, architecture, backlog, or general work an agent is tracking for this user.
(Alpha) Persistent memory, architectural decisions, and safety guardrails for Claude Code. Your agent starts every session with full project context — stack, decisions, patterns, safety rules, and a handoff from the previous session.
★not rated 14 4d agoA
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originalMIT
MCP server for Midas — local-first, source-traceable agent memory with no LLM at ingest. Runs locally from the midas-memory-mcp Python package. Needs 4 environment variables to run.
★not rated 14 3mo agoA
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originalMIT
Skills and agents for the software lifecycle in Claude Code: research, design, planning, test-first building, code review, security checks and release. Includes a local code index, per-project workspace notes, stack-specific guidance at session start, and optional Jira and Confluence access.
★not rated 14
changed 4d agoA
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originalMIT
A local MCP server that exposes your Obsidian vault as structured tools for Claude.ai. Runs locally from the obsidian-claude-mcp npm package.
★not rated 14 7mo agoA
tokens not measured
originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: