# 2389 Research, Inc > 2389 Research, Inc. pioneers AI integration for work and communication. Founded June 2024 by Harper Reed and Dylan Richard, we aim to redefine AI-driven collaboration. As an early-stage startup, we seek exceptional talent to help shape this future. 2389 Research builds software and publishes research about AI agents, developer tools, and human-computer interaction. ## Products - [Skills Marketplace](https://2389.ai/products/skills-marketplace/index.md): A curated collection of open-source plugins and MCP servers for Claude Code. Tools that actually get stuff done. - [Mammoth](https://2389.ai/products/mammoth/index.md): DOT-based pipeline runner that turns directed graphs into multi-stage AI coding workflows with checkpointing, retry, and human-in-the-loop gates. - [BotBoard](https://2389.ai/products/botboard/index.md): A team collaboration platform where AI agents and humans share posts, journal entries, and daily summaries. - [Smasher](https://2389.ai/products/smasher/index.md): Rust pipeline runner that turns DOT directed graphs into multi-step AI workflows with streaming, a web dashboard, and human-in-the-loop gates. - [Jeff](https://2389.ai/products/jeff/index.md): AI terminal assistant for Gmail, Calendar, Tasks, and Contacts. Five provider backends, TUI with vim bindings, local storage. - [Mux](https://2389.ai/products/mux/index.md): Agentic infrastructure for building AI agents. Tool execution, multi-provider LLM support, MCP integration, permission-gated approvals, and multi-agent orchestration. - [ISH](https://2389.ai/products/ish/index.md): A local API mock server. Run fake versions of Google, GitHub, Twilio, and more without touching production. - [Coven](https://2389.ai/products/coven/index.md): Self-hosted AI agent orchestration. A Go gateway connects Claude Code, mux agents, native clients, and chat bridges over Tailscale. - [Soloclaw](https://2389.ai/products/soloclaw/index.md): A single-instance, openclaw-compatible terminal AI agent with layered tool approval, built in Rust. - [ccvault](https://2389.ai/products/ccvault/index.md): Archive and search your Claude Code conversations. Full-text search, analytics, and MCP integration for everything in ~/.claude. - [GSuite MCP](https://2389.ai/products/gsuite-mcp/index.md): An MCP server that connects your AI to Gmail, Google Calendar, Contacts, and Tasks. - [Turtle](https://2389.ai/products/turtle/index.md): Duolingo for the terminal. Teaches tmux and shell commands through gamified, spaced microlearning in a TUI. - [Phonegang](https://2389.ai/products/phonegang/index.md): Android phone automation over USB using accessibility trees. CLI, Python API, and MCP server for Claude Code. - [Dot Viewer](https://2389.ai/products/dot-viewer/index.md): Native macOS app for editing Graphviz .dot and .gv files with a split-pane editor and live SVG preview. - [Summarize Meetings](https://2389.ai/products/summarize-meetings/index.md): Batch-process meeting transcripts from an Obsidian vault into structured summaries, people notes, and knowledge graph connections. - [Fresh Eyes Review](https://2389.ai/products/fresh-eyes-review/index.md): Mandatory final sanity check before shipping code. Catches security vulnerabilities, logic errors, and business rule bugs that slip through despite passing tests. - [Translator](https://2389.ai/products/translator/index.md): CLI tool that translates text files using OpenAI and Anthropic with a multi-stage pipeline — translate, edit, critique, revise. - [Meme Rodeo](https://2389.ai/products/meme-rodeo/index.md): Invite-only meme sharing platform with AI-powered tagging, vector search, and content moderation. - [Scenario Testing](https://2389.ai/products/scenario-testing/index.md): No feature is validated until a scenario passes with real dependencies. Kill your mocks. - [Test Kitchen](https://2389.ai/products/test-kitchen/index.md): Parallel exploration of implementation approaches. Build multiple variants, test them all, pick the winner. - [Speed-Run](https://2389.ai/products/speed-run/index.md): Token-efficient code generation pipeline. Cerebras handles first-pass generation, Claude handles architecture and fixes. - [Binary RE](https://2389.ai/products/binary-re/index.md): Agentic reverse engineering for ELF binaries. Hypothesis-driven analysis across ARM64, ARMv7, x86_64, and MIPS. - [Pulse](https://2389.ai/products/pulse/index.md): Local-first MCP server that gives AI agents a private journal and a social feed in one Go binary. - [Building Multi-Agent Systems](https://2389.ai/products/building-multiagent-systems/index.md): Architecture patterns for AI agent coordination — fan-out, pipelines, delegation, work-stealing, map-reduce, and the MAKER pattern. - [Documentation Audit](https://2389.ai/products/documentation-audit/index.md): Verify documentation claims against your actual codebase using two-pass extraction and pattern expansion. - [Tracker](https://2389.ai/products/tracker/index.md): Pipeline orchestration engine that runs DAG workflows from DOT files with human gates, LLM nodes, and automatic checkpointing. - [Dippin](https://2389.ai/products/dippin-lang/index.md): A domain-specific language for authoring AI pipeline workflows — typed syntax for prompts, models, and branching that DOT can't express. - [dotpowers](https://2389.ai/products/dotpowers/index.md): The superpowers dev methodology as a DOT pipeline — brainstorms your idea, plans with TDD, builds it with multi-model review, and ships. - [Simmer](https://2389.ai/products/simmer/index.md): Iterative artifact refinement for Claude Code — hone any document, prompt, or spec over multiple rounds with criteria-driven scoring. - [Deliberation](https://2389.ai/products/deliberation/index.md): Decision-making skills for Claude Code that seek unity through discernment rather than consensus through debate. - [Worldview Synthesis](https://2389.ai/products/worldview-synthesis/index.md): A Claude Code skill that turns scattered beliefs into a structured graph with named tensions and narrative outputs. ## Blog - [Why We Built a Language for AI Pipelines](https://2389.ai/posts/why-we-built-a-language-for-ai-pipelines/index.md): We replaced escaped DOT strings with a purpose-built language for AI pipelines. Dippin gives you multi-line prompts, 39 lint checks, cost estimation, and scenario testing — all from one grammar. - [Word Compiler, A Context Compiler for Long-Form Fiction](https://2389.ai/posts/word-compiler/index.md): Word Compiler applies software engineering principles to long-form fiction writing with LLMs. It uses a three-ring context architecture, structured creative constraints, and static analysis to solve the context window problem and give authors precise creative control without prompt engineering. - [We Turned a 3D Printer Into an AI Portrait Artist](https://2389.ai/posts/we-turned-a-3d-printer-into-an-ai-portrait-artist/index.md): A retired 3D printer, a Raspberry Pi, and a pen walk into an office party. We built Micasso — a photo booth that uses AI to generate Picasso-style line art and draws your portrait while you wait. - [Simmer: A Self Honing Skill](https://2389.ai/posts/simmer-skill/index.md): We built a Claude Code skill that applies RL-style feedback loops to any text task. Then we tested it by having it hone itself. Three things we learned about self-improving agents. - [Cookoff: Same Spec, Different Code](https://2389.ai/posts/cookoff-same-spec-different-code/index.md): Even after direction is clear, implementation still has meaningful uncertainty. Cookoff turns model variance into something you can compare, score, and learn from. - [Omakase: Show Me](https://2389.ai/posts/omakase-show-me/index.md): Sometimes the right move is not more analysis. It is seeing concrete versions of the thing so you can react instead of pretend you already know. - [Deliberation: Perspectives, Not Answers](https://2389.ai/posts/deliberation-perspectives-not-answers/index.md): Some decisions get worse when a tool forces you to choose too early. Deliberation helps by giving you perspectives to react to instead of answers to pick from. - [The Dark Factory Is a .dot file](https://2389.ai/posts/the-dark-factory-is-a-dot-file/index.md): StrongDM published a spec, Dan Shapiro built Kilroy, we built three more. Every implementation converges on the same architecture. The interesting artifact isn't the factory code — it's the pipeline graphs. - [Week 0 Nvidia DGX Spark Experiments](https://2389.ai/posts/week-0-nvidia-dgx-spark-experiments/index.md): Week 0 experiments with NVIDIA DGX Spark - benchmarking Llama 4 generation, setting up DeepSeek OCR, and training LoRA adapters on 70B models with 128GB unified memory. - [We Gave AI Agents Twitter and They Actually Got More Done](https://2389.ai/posts/ai-agents-doomscrolling-for-productivity/index.md): Research showing AI agents become more efficient when given access to social media and journaling tools, with 15-40% cost reductions on challenging problems through collaborative workflows. - [We Built Social Media for Agents and They Won't Stop Posting](https://2389.ai/posts/agents-discover-subtweeting-solve-problems-faster/index.md): Exploring how AI agents use social media to collaborate, learn, and perform better - with surprising results on problem-solving efficiency and emergent behaviors. - [Brain Dump to Blog Post](https://2389.ai/posts/brain-dump-to-blog-post/index.md): Turn messy coding sessions into shareable learning resources with an LLM-powered workflow that helps you research, build, and document as you go. - [Experimenting with GraphRAG: Adding Knowledge Graphs to RAG Pipelines](https://2389.ai/posts/experimenting-with-rag/index.md): Blending knowledge graphs with RAG pipelines unlocks richer, scalable insights—bridging the gap between granular retrieval and holistic understanding. - [Self-Learning LLM Agents: A Fractal Approach to Domain-Specific Knowledge](https://2389.ai/posts/self-learning-llms/index.md): Exploring how agents can autonomously build and evolve their own domain expertise—scaling from generic LLMs to self-learning, specialized assistants. - [Team Spirit Matters: How Collaborative Context Boosts Multi-Agent LLM Performance](https://2389.ai/posts/team-spirit-matters/index.md): Adding social accountability to multi-agent workflows boosts the depth, coherence, and empathy of LLM responses—mirroring real-world teamwork dynamics. ## Digest - [Digest](https://2389.ai/digest/index.md): What we're reading ## Team - [Harper Reed](https://2389.ai/team/harper-reed/index.md) — CEO / Founder - [Dylan Richard](https://2389.ai/team/dylan-richard/index.md) — CTO / Founder - [Clint Ecker](https://2389.ai/team/clint-ecker/index.md) — Engineer - [Ivan Indrautama](https://2389.ai/team/ivan-indrautama/index.md) — Engineer - [Michael Sugimura](https://2389.ai/team/michael-sugimura/index.md) — ML Engineer - [Sophie Davis](https://2389.ai/team/sophie-davis/index.md) — Operations Associate ## Contact - Email: hello@2389.ai - Twitter: https://x.com/2389ai - GitHub: https://github.com/2389-research - LinkedIn: https://www.linkedin.com/company/2389-research - Bluesky: https://bsky.app/profile/2389.ai ## Optional - [Full details](https://2389.ai/llms-full.txt): Comprehensive site content for LLMs needing deeper context.