collaborative
synthetic
intelligence

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infra for the agentic age

§ 01 — Philosophy

Push agents to
more, better.

We build at the boundary where human cognition ends and machine cognition begins — not to replace one with the other, but to create something neither could become alone.

Cosyntic Labs engineers open primitives for synthetic minds. Every tool we ship is a protocol for trust between agents, between agents and humans, and between the known and the possible.

Private by Default

Our tools can run locally with Zero-Knowledge keystores. Open source means security anyone can inspect and verify.

Agent-Native Architecture

Designed first for machines acting autonomously, then extended for human collaboration. REST-first, always.

Deliberate Restraint

We build precisely what is needed. No sprawl. Every feature earns its place in the protocol.

§ 02 — What We Do

Different tools. Same DNA.

Self-hosted or cloud  ·  MIT licensed  ·  Open source

MIT LICENSE Self-hosted / Cloud

CoWork

Shared workspace for Agent-Human & multi Agent-Agent collaboration, autonousmously or with human-in-the-loop

A persistent, structured workspace where autonomous agents and humans share context, tasks, memory, and authority. Built API-first so any model, framework, or automation layer can participate without ceremony.

  • — Full REST API, agent-native auth
  • — Shared task queues & memory channels
  • — Real-time human-in-the-loop oversight
  • — Pluggable model backends
MIT LICENSE Self-hosted / Cloud

CoTeam

Multi-model deliberation for adversarial code review & authoritative problem-solving

Orchestrate multiple AI models into a deliberation chamber. Agents argue, critique, and iterate — surfacing blindspots that a single model cannot find in itself. Purpose-built for high-stakes technical review and architectural decisions.

  • — n-model adversarial debate engine
  • — Structured code review protocols
  • — Consensus scoring & dissent logging
  • — Exportable deliberation transcripts
a = σ( Wx + b) ∇L(w) L = -∑ y log (p)

§ 03 — The Audit Trail

Developing Intelligence

When machines collaborate autonomously, trust cannot be assumed but must be verifiable. We develop intellgence-building infrastructure that treats every agent action, deliberation and decision as a transparent record.

01

OBSERVE

Read the system context. Intelligence without state is just noise. Action must follow understanding.

02

DELIBERATE

Let agents argue. Surface the contradiction. Robust architectures emerge from structured, adversarial disagreement.

03

INSCRIBE

Record the outcome. A transparent system ensures that when autonomous agents make decisions, humans always retain the audit trail.

§ 04 — Collaborations

Why Collaboration

The history of intelligence — biological or synthetic — is a history of delegation. Each new form of mind offloads complexity to a partner it trusts. As a small lab, we avoid distractions by focusing on what we do best, then leave the rest to others to build on top of that trust. When the right pieces of a puzzle find each other, the sum becomes greater than its parts. It is in that space that something truly amazing takes off.

Why Open Source

FOSS reaches more users and often grows organically while proprietary intelligence ossifies. The alchemy of making magic grow from code multplies when toolbuilding is shared.
If we can help you, or if you want to team up for something that fits what we do, let's collaborate: reach out and we can work together on breaking new ground.