Extract valuable insights, decisions, patterns, and ideas from AI conversation exports (ChatGPT, Claude, Claude Code) into Obsidian-compatible notes. Includes a mirror analysis feature that builds a living psychological profile from your conversation patterns. Processes your chat history day-by-day using a Ralph…
★not rated 2 7mo agoA
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originalMIT
Bootstrap an LLM-maintained knowledge base via a prism-driven interview: start from sample raw inputs (facts), derive the right page types, kinds, and relationships (concepts & categories) with the ontology-prism / KEOPS method, then scaffold the schema, conventions, and operating skills for the new wiki — and dogfood.
Captures and retrieves the decisional context behind code changes — constraints, choices, and reasoning — so future agents don't repeat mistakes or lose established patterns across sessions.
★not rated 2 3mo agoA
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originalMIT
Agent-driven knowledge base with immutable raw sources, mutable wiki pages, BM25 search, code analysis, and self-checking lint. Use when managing knowledge bases, importing documents, writing wiki pages, or parsing source code.
Search your local Claude Code and Claude Cowork conversation history — list recent sessions, full-text search transcripts, and read full conversations stored on your own machine.
★not rated 2 2mo agoA
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originalMIT
Give your AI a memory it never forgets. Local-first persistent memory with semantic search, temporal validity, knowledge graph, memory tiers, and privacy controls. 28 MCP tools.
★not rated 2 4mo agoA
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originalMIT
Build and operate McBrain — a persistent, LLM-maintained personal knowledge base based on Karpathy's LLM Wiki pattern. Bundles cooperating skills for one-shot vault setup, day-to-day operations (ingest/query/lint/synth), and a local research tracker with a creator skill and a queue runner that drains research tasks…
★not rated 2 3mo agoA
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originalMIT
Stack-aware developer intelligence for your agent: CVE scans, dependency health, upgrade plans, decision memory. Privacy-first — only public package names leave the machine.
IANA-registered .faf project context for Gemini, with a deterministic AI-readiness score. Read, validate, score, and sync one source across GEMINI.md / CLAUDE.md / AGENTS.md. Run /faf:setup after install.
★not rated 2 todayA
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originalMIT
Shared memory for AI coding agents. Decisions, fixes, and gotchas persist per repo — local by default, shared with your team via threadctx.dev. What one teammate's agent learns, everyone's agents remember.
★not rated 1 1mo agoA
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originalMIT
AI-native structured memory for agents (lore/doc) for Claude Code. This plugin is a free distribution channel for the LinkLore MCP server; team sync, cross-project sharing, and cloud backup are a paid backend service (subscription) at linklore.io.
Persistent, queryable memory for your agent: a real Postgres it asks in plain English over MCP, so it can GROUP BY / JOIN / aggregate over what it remembered instead of recalling the nearest few rows. Bundles the hosted MCP server plus two skills that teach the agent when to use it.
★not rated 1 todayA
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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: