The local-first LLM Wiki: open-source knowledge graph builder, RAG knowledge base, and agent memory store. Built on Andrej Karpathy's pattern. An Obsidian alternative for personal knowledge management, AI second brain, and durable Claude Code / Codex / OpenClaw memory.
The native macOS & iOS app for browsing AI agent memory files — Claude Code, OpenClaw, Codex, Cursor, Gemini
Local-first persistent agentic memory powered by Recursive Memory Harness (RMH). Open source must win.
Compiles AI agent traces and truns them into reusable context.
Personal memory across agents
Durable, searchable memory of your past agent sessions.
Headless knowledge base with bidirectional Markdown sync
Persistent, provider-neutral memory for Codex, Claude Code, OpenCode, Pi, and MCP coding agents.
Lightweight agent orchestration dev tool that lives in your repo
SRA-Bench and SR-Agents: a benchmark and toolkit for skill-retrieval-augmented LLM agents.
Every past session, subagent, and workflow -- queryable by your agent, browsable by you
Your durable workspace across AI agents.
Git-native memory for coding agents. Repo memory before the diff.
Your coding agent starts every session blank. Rekal is the memory your team is missing
Artifact layer for agent-human representations. One API call, one SVG. Zero dependencies, renders in any markdown.
Mine your Claude Code and Codex logs into a local you.md agent profile.
Portable project memory across Claude Code, Codex and OpenCode, plus token accounting measured from harness transcripts. Local file I/O, no API calls, no telemetry.
Tool-to-Agent Protocol: tools can be smart without embedded LLM calls.
Persistent, local memory for developers and their coding agents. Records commands, output, errors, and the fixes that worked into SQLite and serves them over MCP.
Persistent memory for AI coding agents: automatic capture, explainable recall, knowledge consolidation, privacy controls, and portable offline storage. One Python file, zero dependencies.
🧠 The Brain for Your AI — Local-first memory engine for AI agents. Store, recall, and search memories with semantic embeddings. Single Rust binary, zero config, fully offline.
Open-source infrastructure that turns scattered SKILL.md files into curated, retrieval-ready agent-skill corpora—with retrieval and evaluation tooling included.
Cognitive memory database for AI agents — consolidates duplicates, detects contradictions, fades stale memories via temporal decay. Rust, Apache-2.0, ships as library / MCP server / HTTP cluster.
Agent-driven proactive memory CLI for AI agents — autonomously recall, maintain, and evolve persistent, source-grounded knowledge across sessions.