17,811 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.
Build and maintain a persistent, interlinked Obsidian-compatible markdown wiki using Karpathy's LLM Wiki pattern. Extension-backed with auto-generated metadata, guardrails, and 14 custom tools (+3 opt-in agent-trajectory tools).
Reconstruct a complete, searchable memory from an untrusted meeting or conversation transcript. Use for EverRoom background transcription-summary jobs when the caller requires the fixed memory JSON contract.
Initialize a PM Brain — a markdown-native second brain for a product operator (PM, product lead, founder, or anyone accountable for one product or initiative) doing judgment-heavy work with scattered inputs. Detects greenfield vs. migration mode, runs a focused interview, copies the deterministic scaffold into the…
Summarize the current conversation session and append results to the weekly agent-log. Use when user says "log this", "session log", "summarize this session", or asks to write results to the agent-log.
Operating manual for reading and writing a project's brain — every read and write goes through the bundled zero-dependency brain CLI; never hand-edit brain files. Read it before creating or modifying any page or root page.
You are saving what you learned this session into the megamemory knowledge graph. This is YOUR memory — record anything valuable for future sessions: what you understood about the project, what you built, decisions that were made, patterns you noticed, or intent the user shared.
Semantic search over past Pi, Claude Code, Codex, and Slack conversations, memories, and authored files. Use when the user wants to recall, find, or reference something from a previous coding-agent session or Slack conversation — e.g. "what did we discuss about X", "find that conversation where we fixed Y", "search my…
★not rated 509 3d agoA85 tokens
originalApache-2.0
Use the token-optimizer MCP tools to reduce context/token usage when reading, searching, or editing files, or when the context window is filling up. Trigger when reading large files, re-reading files already seen, searching a big/unknown tree, making edits to large files, or when you need to store bulky output…
Approach-level negative-knowledge memory for Claude Code. Mines your transcripts (Stop/PreCompact, both async and zero added latency) for approaches you TRIED and then REVERTED (with the reason, date, and estimated token cost of the detour) into a per-repo registry. On UserPromptSubmit it injects a 'you already tried…
★not rated 498▲
+3 12d agoA
tokens not measured
originalMIT
Long-term & multimodal memory for AI agents — character isolation, video pipeline, MCP server, mem0-compatible. Runs locally from the telemem Python package. Needs 3 environment variables to run.
★not rated 487 4d agoA
tokens not measured
originalApache-2.0
Maintain the persistent Research Knowledge Wiki in D:\ResearchVault\knowledge from existing analytical literature notes. Use when creating or incrementally updating cross-paper themes, concepts, methods, relationships, controversies, syntheses, the knowledge index or append-only log; or when linting traceability…
Use the codebase knowledge graph for structural code queries. Triggers on: explore the codebase, understand the architecture, what functions exist, show me the structure, who calls this function, what does X call, trace the call chain, find callers of, show dependencies, impact analysis, dead code, unused functions…
Distill a colleague into a reusable AI skill (work + persona) using tool connections — Slack, Slack AI, Jira, GHE, Bitbucket, Confluence, SharePoint, Teams, Outlook, Notion, Linear, Google Docs, and more — without manual paste. Use when the user wants a colleague skill, digital twin of a coworker, or capture of…
The agent's persistent long-term memory — the only knowledge that survives across sessions, shared across the fleet under access control. Consult it at the start of a task to recall prior decisions, findings, and rules before acting, and write outcomes, decisions, and lessons as work completes. Use whenever a caura…
MemMesh TypeScript SDK reference (@thinkfleet/memory-sdk) for the hosted platform at app.memmesh.ai. Covers the ThinkFleetMemory client — observe / search / list, the predict + lattice prediction surface, closed-loop learning (recordDecision / recordOutcome), emergent behavior discovery, and the health / financial…
Update Greplica working memory from the current coding-agent session, recent code changes, and durable decisions. Use only when the user explicitly invokes greplica-update-working-memory or asks to update working 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: