Yggdrasil
Agent

Advanced Reasoning System A private AI that thinks in parallel, learns, adapts, and stays with you everywhere you work

Preview this summer 2026 with $5 in free credits.

I'm also looking for early contributors.

Core open source in winter.

Watch The Work,
Not A Mockup

Real recordings of the product answering hard questions. Watch it think, cite, and price every run.

Chat UI demo (self-hosted cloud via web): Fast Path in seconds. Expand the trace for Answer Extraction, realm routing, and the full chain. Image and video generation, operation on files accessed via mobile app.
PDF report (normal mode): sample research output with clickable citations.
CLI demo (Odin mode): using parallel realms, web search, streaming thoughts, and tool calls as the answer builds.

                                        
                                    
CLI full answer: full output from the Odin mode CLI demo above, fibromyalgia research with citations, run stats, and sources.

One system, one memory,
Multiple interfaces

Infinite adaptation capabilities. Every window into the same core.

CLI Interface

Full-featured command-line agent on the same Docker server as Bifrost for VS Code: memory profiles, sessions, personas, privacy modes, and budget-constrained queries.

# Web search + memory profile
docker compose run --rm yggdrasilagent-cli \
yggdrasil --web-search --profile work "Analyze AI agent market 2026"
# Odin persona, 8 iterations
docker compose run --rm yggdrasilagent-cli \
yggdrasil --persona odin --max-iterations 8 "Your question"
  • Privacy --private / --fresh modes
  • Background multi-agent runs
  • Session resume & export

Start with Docker Compose, pick an interface, keep the same reasoning backend and the same conversation: a thread you start in the terminal continues in the browser. Every service uses the Docker MCP Toolkit: the most convenient way to handle and manage tools.

One Engine
to Rule Them All

Great tools already exist for research, coding, and automation.
Yggdrasil brings those strengths into one system and adds the part they miss: a validated answer.

What each tool is best at

Research breadth Manus · Deep Research Broad research agents. Sources, subtasks, one merged report.
Finished deliverables Perplexity Computer Cloud digital worker. Describe the deliverable. Models, connectors, background runs.
Coding loops Cursor · Codex · Claude Code Repo coding loops. Edits, refactors, terminal work, pull requests.
Personal automation Hermes · OpenClaw Self-hosted personal agents. Messaging, apps, skills that compound.
Yggdrasil: One System, A Validated Answer

Lives in the web UI, REST API, and VS Code. Understands web pages and code, runs deep research, and keeps files, tools, and long sessions in one place. Built to verify claims against relevant sources, with scientific sources prioritized when they matter.

A typical chatbot follows one line of thought, sounds sure when sources echo, and hides the steps. Yggdrasil overlaps with all four above, then does the opposite and adds what none of them have:

Think in parallel: many independent paths at once, not one early guess that hardens into certainty
Trust the evidence: claims face real sources; science wins when it should
Make them fight: critics and conflict checks kill weak answers before a winner is chosen
Fix before you see it: bad drafts die in the lab, not in your chat
Remember the scars: failed paths stay marked so they are not walked again
Show your work: citations, cost, and the full trail for why the winner won

Where Multiple Perspectives Matter

Flagship outcomes first. Use Yggdrasil when one plausible answer is not enough, then dig into architecture and usage for the full stack.

01

Software Dev

Debug production issues, code review, architecture design, security audits

02

Research

Literature reviews across 12+ languages, multi-source claim checks, paper-style PDF export with clickable citations

03

Data Science

Excel/CSV analysis, stats, and trend work with real code in a secure sandbox (Sindri)

04

Business

Market and competitive analysis with live USD cost tracking and early exit when the answer is clear

05

Writing / Content

Drafts, outlines, editing, and long-form content with cited sources

06

Math & STEM

Proofs, physics, and formal logic with verified steps (Kvasir)

07

Document / OCR

Invoices, receipts, forms, and scanned PDFs: OCR and tables in one pass (Veðrfölnir)

08

Browsing & Shopping

Bifrost Chrome extension: a side-chat window on any page. Reads and understands the page you're on for shopping comparisons, product research, and page Q&A

Next: how you steer it, how it thinks, then the deep dive: Modes, Architecture, and the long-form article.

Choose Your Mode

Same persona icons as the live chat. Pick a specialist for speed, research, science, math, deep analysis, or coding, or leave Normal for balanced everyday work.

Normal

Balanced reasoning for everyday work, typically 100–300 seconds. Select a specialist mode for speed, research, science, math, deep analysis, or coding.

How The System Works

The question travels the World Tree: split, explored on several paths, scored, and merged into one answer you can inspect. Inside each path, roles gather evidence, merge ideas, attack weak claims, and explore alternatives.

Ten cognitive modesHover or tap a realm to see how it thinks.

Sleipnir
realm router
Routes to the next realm or Ragnarök every iteration.
Odin's Foresight
task decomposer
Splits work into GAIA patterns and battle plans.
Brokkr
MCP tool selector
Smart tool selection across 76+ MCP tools.
Veðrfölnir
centralized vision
OCR, layout, and vision in one pass for every realm.
Sindri
code execution
Runs Python, shell, and spreadsheets in an E2B sandbox.
Muninn
long-term memory
Cross-session recall with vault stats, backup, and ChromaDB export.
Norns
thought scorer
Scores thoughts for relevance, evidence, and goal fit.
Forseti
conflict resolver
Conflict resolution with 3-pillar LLM-as-Judge.
Heimdall
insight bridge
Insight bridge between parallel agents.
Gleipnir
loop prevention
Stops loops with breakers and forced convergence.
Valkyrie
early exit & cost
Exits early when paths converge (~2.2× faster), with live USD cost tracking.
Ragnarök
final synthesizer
Final synthesis from the best thoughts across all realms.

Memory & Privacy

You see the reasoning trace. Pick how much Yggdrasil remembers and stores, and use separate profiles (--profile work) to keep contexts apart.

Mode Remembers past sessions Saves this session
Normal Yes Yes
Private Yes No
No memory No No
Fresh No (temporary) No

CLI: --private, --no-memory, --fresh · Web UI: privacy toggles in chat settings

Action Gates (HITL)
Sensitive tool calls (filesystem, shell, external transfers) pause for mandatory user approval before they run.
Trace Masking
Secret and personal-data masking in observability traces is on by default, helping keep sensitive data out of logs.
Auth & Isolation
Google OAuth2 and JWT-based session isolation keep each user's sessions and memory separate.
Guardrails
Output validation, claim verification, prompt-injection detection, and a first-person crisis guardrail.
Data Controls
Export, download, or clear conversations, memory, and sessions whenever you want.
Private Deployment
Fully dockerized. Hosted by default, with dedicated and private deployment options, including your own cloud.
You ask Recalls what's relevant Focused working memory Answers Saves useful learnings

Memory that helps, not hoards

Want the full design story?

Parallel AI Reasoning Architecture

The full design story: how Yggdrasil splits work across realms, stags, and benchmarks, and why parallel paths beat single-thread chat.

Yggdrasil parallel AI reasoning architecture with a rainbow bridge leading to the World Tree Read the long-form article →

Research Foundation

Peer-reviewed ideas under the hood, scored on GAIA.

  • Tree of ThoughtsYao et al., 2023 - multi-path exploration
  • Graph of ThoughtsBesta et al., 2023 - non-linear aggregation
  • ReflexionShinn et al., 2023 - self-critique loops
  • MemGPT / Generative AgentsPacker & Park et al., 2023 - lasting memory

GAIA results

Method notes →

Self-measured on our harness (20 questions per level, 60 total). Engineering evidence, not a leaderboard rank.

Level 1
85%
17/20 correct
~4.6 min · $0.56
Level 2
85%
17/20 correct
~4.4 min · $0.81
Level 3
45%
9/20 correct
~7.0 min · $1.17
Overall
71.7%
43/60 questions
318 min · $50.71 total
Join the project

Core open source planned for
winter 2026

Follow the repository now, then help shape agent architecture, evaluation, project maintenance, documentation, or frontend work when the core opens. Scope and timing may change as the research preview is validated.

Follow the work now. Contribution guidance will ship with the core.

Join The Research Preview

Private preview access is planned for summer 2026. Accepted participants receive $5 USD in trial credits to test the system and share structured feedback.

More tiers coming soon.