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.
Layer-first retrieval from a Crystallized Intelligence for Agents brain via CLI or MCP. Use when BRAINROOT is set, brain MCP tools are available, or the user asks to query/bootstrap/expand a domain brain without loading the full corpus.
Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.
Portable AI memory as MCP tools: five reads and three controlled writes. Runs locally from the @memoweft/mcp-server npm package. Needs 1 environment variable to run.
★not rated 6 5d agoA
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originalMIT
Persistent long-term memory for Claude Code — wiring for the Pseudolife-MCP daemon (session briefing + identity hooks + memory commands; MCP transport via the installer's stdio shim or claude mcp add). Requires the daemon stack: https://github.com/Pseudogiant-xr/Pseudolife-MCP#quickstart.
★not rated 6
changed 1mo agoA
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originalApache-2.0
Brainstorm an idea with your portable Mind Map memory so a thread you start in one AI tool continues in another. Use when the user wants to brainstorm, ideate, "think through", or explore options/approaches/ideas — especially when the topic may have prior history in another tool or session. Loads prior idea-threads…
Portable project memory + development workflow for coding agents: auto-loads STATUS+RULES each session, enforces folder-level CONTEXT.md on edit, nudges durable state updates at turn end, scaffolds the system into any repo via guided discovery, and ships a tiered 6-phase workflow skill set covering every phase (brief.
Self-maintaining personal knowledge database — MCP server with figure-level search, auto-wikilinks, and Ebbinghaus-based memory compression. Runs locally from the mcp-second-brain Python package.
★not rated 6 1mo agoA
tokens not measured
originalMIT
A WithEcho account connection that can read personal daily notes, diary entries, casual thoughts, conversation cards, and saved items, and export speech-recognition source text. WithEcho is the external service that stores this information.
Use when the user's AI assistant should recall or persist long-term knowledge about the user, their projects, preferences, decisions, people, conventions, or technical stack — across sessions and across tools. Triggers: starting meaningful work ("remember that", "what do we know about", "recall", "save this for…
One memory. Every AI. Connects MemoryPlugin's memory server and teaches the agent to recall the user's long-term memory before assuming, and store durable facts before finishing.
★not rated 7 3mo agoA
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originalMIT
Make your AI agent get stronger with use — skill self-improvement, memory-skill feedback loops, and user profiling. Inspired by Hermes Agent's four-layer memory architecture.
★not rated 6 6mo agoA
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originalMIT
Context continuity MCP server for developers. Solves AI conversation loss - automatically preserves architecture and code discussions for clear productivity advantage. Works seamlessly with Cursor and VS Code. Next: Full system design and architecture ass. Runs locally from the codearchitect-mcp npm package.
A model of you, on your machine, read at session start. Your agent stops asking you what you already told it: persnallyask answers from your own history with a confidence score, or defers back to you.
Give this NanoClaw's agents persistent, governed memory from an mwe-mcp server. Every turn is remembered and recalled mechanically, per speaker, with the built-in memory tree switched off and no session carried between turns.
★not rated 6
changed 1mo agoA50 tokens
AGPL-3.0
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: