tutti-os

tutti-os/tutti

TypeScript Apache-2.0 AI & ML

Where people and agents build in tune.

1.7k stars
149 forks
active
GitHub +521 / week

1.7k

Stars

149

Forks

97

Open issues

18

Contributors

v0.1.19 10 Jul 2026

AI Analysis

Tutti is a real-time shared workspace platform designed to coordinate work between multiple AI agents (e.g., Claude, Codex) and humans, eliminating manual context-passing and fragmented workflows. It serves teams and individual developers who work with multiple AI tools simultaneously and need seamless handoffs; it is not for users seeking a single integrated AI assistant or those working only with one agent.

AI & ML Application Discovery value: 6/10
Documentation 8/10
Activity 9/10
Community 8/10
Code quality 5/10

Inferred from signals mentioned in the README (tests, CI, type safety) — not a review of the actual code.

Overall score 7/10

AI's overall editorial judgment — not an average of the bars above, can weigh other factors too.

multi-agent coordination ai-human collaboration shared workspace context management agent orchestration
Actively maintained Well documented Popular Niche/specialized use case Production ready
Deep Analysis · Based on README and public signals
14h ago

Real-time workspace for coordinating multiple AI agents on complex projects

Tutti is a shared workspace platform designed to orchestrate work across multiple AI agents (Claude, Codex, etc.) and human collaborators. It addresses fragmentation caused by copy-pasting context between tools by providing unified file storage, task visibility, and an app ecosystem. Targets knowledge workers and developers managing multi-agent workflows. Created June 2026; gained 397 stars in first week, suggesting rapid early interest in a newly launched project.

Origin

Launched as open source in June 2026, positioned as a response to the proliferation of separate AI coding assistants (Claude Code, Cursor, Canvas) requiring manual context handoffs. Represents an emerging category: agent orchestration and workspace coordination rather than replacement of individual agents.

Growth

Exceptional early velocity: 1,586 stars and 397 new stars in 7 days following public launch. Growth appears driven by timing—addresses a real friction point in multi-agent workflows as Codex, Claude Code, and similar tools became commonplace. Very early phase; sustained growth and retention patterns unknown.

In production

Adoption not verified. Project is 28 days old. README references waitlist for 'Tutti · VM' (multi-user version) but provides no evidence of production users, case studies, or enterprise deployments. Discord community mentioned but community size unknown. Early-stage signals (rapid star growth, documentation availability) suggest developer interest, but real-world usage data absent.

Code analysis
Architecture

Based on README: TypeScript-based real-time workspace with app ecosystem, file sharing, task orchestration, and agent integration. Appears built around shared context (@-referencing) and task state visibility across agent boundaries. README emphasizes architectural philosophy (connected, visible, multi-agent) but does not detail implementation, database, sync mechanisms, or scalability approach. Likely uses real-time synchronization (unconfirmed).

Tests

Not documented in README.

Maintenance

Repository created 2026-06-12; last push 2026-07-09 (4 days old relative to analysis date 2026-07-10). Extremely recent, active development. Too early to assess maintenance maturity, stability, or long-term support patterns. Apache-2.0 license suggests open governance intent.

Honest verdict

ADOPT IF: you actively juggle 3+ AI coding agents and spend significant time copy-pasting context, files, and outputs between them; the friction from current workflows outweighs risk of early-stage platform. AVOID IF: you rely on a single coding agent or traditional CI/CD pipelines; single-agent workflows do not benefit from Tutti's core value proposition. MONITOR IF: you work with multiple agents occasionally; wait for production stability, multi-user features (Tutti · VM), and case studies demonstrating real-world ROI before committing workflow dependency.

Independent dimensions

Mainstream potential

4/10

Technical importance

6/10

Adoption evidence

1/10

Risks
  • Extremely early-stage: 28 days old, no production evidence, abandonment risk high for immature open-source projects.
  • Vendor lock-in potential: Workspace-based design may create switching costs if core value accrues to Tutti; migration path unclear.
  • API stability: No backward compatibility guarantees documented; agent integrations and app ecosystem likely to break during early development.
  • Multi-agent orchestration is unsolved at scale: README describes vision clearly but implementation complexity (state consistency, conflict resolution) not addressed; may expose architectural limits as users scale.
  • Business model unclear: Waitlist for 'Tutti · VM' (paid multi-user version) mentioned; free tier scope, pricing, and sustainability model not documented.
Prediction

Likely to either consolidate into a developer platform (acquired or partnered with a major AI/tooling company) or remain a specialized tool for power users managing complex multi-agent workflows. Early adoption among AI enthusiasts will determine viability; success hinges on shipping stable multi-user features and demonstrating clear productivity gains over current manual workflows.

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Languages

TypeScript
64.1%
Go
30.7%
JavaScript
3.3%
CSS
1.7%
Shell
0.1%
Python
0.1%
HTML
0%
Makefile
0%

Information

Language
TypeScript
License
Apache-2.0
Last updated
7h ago
Created
4w ago
Analyzed with
anthropic/claude-haiku-4-5

Stars over time

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Contributors over time

Top 100 contributors only — repos with more will plateau at 100.

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vs. alternatives
Claude Canvas / Claude Code

Single-agent coding environments. Tutti orchestrates across multiple agents and maintains shared context; not a replacement for Canvas itself but a coordination layer above multiple such tools.

Cursor / Codex

Individual coding agents. Tutti's value is in multi-agent handoffs and shared workspace, not displacing individual agents but enabling them to work together.

LangChain / LlamaIndex

Developer frameworks for agent composition. Tutti targets end-users and knowledge workers with UI-first multi-agent coordination; LangChain is programmatic, lower-level.

Figma (for design handoff)

Shared workspace for design. Tutti aims to generalize this model to code, design, and task orchestration across agents.

GitHub Projects / Linear (for task management)

Traditional task/project management. Tutti integrates task visibility with real-time agent context and output sharing; narrower focus but tighter agent integration.