11,865 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.
A memory that grows. Your agent is brilliant within a session and amnesic between two — this gives it a persistent knowledge trunk on your machine: what you work out once is distilled into a note, filed, linked, and surfaced automatically next time, from any project. It makes no request of its own — no telemetry, no…
★not rated 2 18d agoA
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originalApache-2.0
Updates project vault files after a work session. Invoke with a structured summary of what happened. Handles STATUS.md, DECISIONS.md, and CONTEXT.md using native file tools. Use this instead of updating vault files inline to keep the main session context clean.
Give any AI agent persistent, graph-native memory via Agentverse Memory — a managed MCP service with 35 JSON-RPC tools covering 4 memory types (episodic, semantic/graph, procedural, working) plus shared multi-agent memory spaces. Zero LLM at write time (<5ms writes, $0 ingest). Graph memory on every tier — including…
Bifrost MCP gateway plugin for Claude Code and Claude Desktop: skill discovery, agent-driven memory, one-command onboarding, signed admin policy, and OAuth 2.1 for Desktop.
★not rated 2 25d agoA
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originalMIT
A cheap background model that watches your Claude Code session over its shoulder and, rarely, drops one short advisory into it — asynchronously, without ever blocking. It reads only the agent's emissions (29% of the transcript), never its tool results, so it is affordable to leave running for the whole session.
★not rated 2 16d agoA
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originalApache-2.0
Operate Capacities safely and precisely through the Capacities MCP server. Use whenever a user asks to inspect, search, read, create, update, append to, delete, or upload Capacities objects, pages, tasks, tags, web links, media files, blocks, properties, collections, or Daily Notes; when choosing structured blocks…
Warns the main session as its own context fills, captures a wake packet before compaction, and reorients the session after it — so an autonomous orchestrator survives past one context window.
★not rated 2 16d agoA
tokens not measured
originalMIT
Long-term memory tools for searching past knowledge, decisions, and lessons. Use when the user references past work, asks about previous decisions, or when you need context from earlier sessions.
Persistent project memory via AgentMemory MCP. Use when the user asks you to remember something, recall a project convention, search past context, or forget a memory. Always search before answering project-specific questions.
Use when connected to a Cortex memory MCP server (tools named memorize, recall, recallabout, recalltimeline, listmemories, forget) — at session start, before asking the user for facts they may have shared before, after learning durable facts/preferences/decisions, when the user says "remember/recall/forget", or when…
Develop/iterate on the MidMem middleware core (this repo's packages/core — the shared "LLM Wiki" knowledge layer). Use when adding or changing MidMem capability — retrieval lanes, tiers/lifecycle, work-memory events, concept routing, claims, grounding, the MCP/CLI/hook surfaces, or its tests. Encodes the…
★not rated 2
changed 3d agoA136 tokens
originalApache-2.0
Use when creating, deploying, diagnosing, or operating a reusable ChatGPT-as-project-brain bridge for any local Codex project: initialize .ai-bridge state, expose read-only project evidence, expose a narrow stage-plan write connector, avoid stale/freeform connector schemas, and run the ChatGPT plan -> Codex execution…
Token-efficient persistent memory system for Claude Code that saves 67% tokens on session warm-up (verified with tiktoken). Layered architecture with progressive loading, compact encoding, branch-aware context, smart compression, session diffing, conflict detection, session continuation protocol, and recovery mode.…
Koshi MCP — retrieval, context engineering, persistent memory, and quality scoring for AI agents. 100% offline.
★not rated 2 22d 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: