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.
Local-first memory for AI coding agents: captures feedback and failures, turns them into ranked, conflict-resolved technical rules, and injects the relevant ones into Claude Code via MCP. Stays on your machine — no cloud, no API keys.
★not rated 9 2d agoA
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originalMIT
A Model Context Protocol (MCP) server that implements a knowledge graph-based memory system with AI-powered entity and relation extraction. Runs locally from the kg-mem Python package.
MCP server "contextmanager-quantitativeresearch" as configured in tejpalvirk/quantitativeresearch. Runs locally from the contextmanager-quantitativeresearch npm package.
MCP server "tinycontext" as configured in TinySuiteHQ/TinyContext. Runs in Docker (docker.io/marcellm01/tinycontext:v0.5.1). Needs 8 environment variables to run.
★not rated 9
changed 9d agoA
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originalMIT
Normative metadata schema v1 for all context-server records. Defines the kind registry (usermessage, report, plan, handoff, checkpoint, note, issue, upstreamissue, comment), required and optional metadata fields per kind, status vocabularies, the typed links object with its design rules, and the filter recipes that…
Persistent project memory for LLMs via SQLite. Never re-explain your project again. Runs locally from the mindpm npm package. Needs 2 environment variables to run.
★not rated 9 1mo agoA
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originalApache-2.0
GoodMem memory infrastructure for AI agents. Use Python SDK skills to write code that manages embedders, spaces, and memories, or use MCP tools to perform GoodMem operations directly via natural language.
★not rated 9
changed 3d agoA
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originalMIT
Making AI Accountable Over Time - MCP server for persistent memory, automatic verification, and evidence-based grounding. Runs locally from the cortex-mcp Python package.
★not rated 9 10d agoA
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originalMIT
Wire mnemostack into OpenClaw as an MCP server, alongside the native OpenClaw memory tools (memorysearch / memoryget). The two coexist — mnemostack handles the hybrid pipeline (Vector + BM25 + Memgraph + Temporal + 8-stage rerank), while the native tools do fast file-scoped retrieval.
Persistent cross-session memory via Engram's MCP tools (engramrecall, engramremember, engramcontext, engramfeedback, engramforget, engramstatus). Use this skill at the START of any session on a known project or with a known user — recall before acting. Also use it whenever the user states a preference, makes a…
Evidence-first local MCP server and CLI for codebase discovery, search, and source-backed tracing adapters. Runs locally from the project-context-mcp npm package.
Long-term memory for coding agents. Auto-applies at the start of any coding task — recall past context before answering, capture decisions/learnings/fixes after work, use CodeGraph instead of grep for symbol lookup. Invoke when you see [remem-mcp] in your context or when starting any non-trivial coding work.
Manage Active updates, atomic session handoffs, and human-gated Long-Term proposals. Use when asked to remember something, preserve a decision, log meaningful work, or review memory.
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: