ARES Protocol
ARES Protocol is ReARC Labs on-chain trust surface for agent identity, reputation, disputes, governance, and accountable execution. It is live on Base Sepolia while mainnet remains gated.
Trust infrastructure for autonomous systems.
ReARC Labs builds the operating layer around agents: identity, memory, governance, documents, company operations, and web access with visible trust boundaries.
- Agent memory
- On-chain governance
- Document automation
- Company operations
- Agent web access
Programs & Ecosystem
ReARC Labs participates in startup and ecosystem programs from Cloudflare, Anthropic, and Microsoft.
Agents move faster than the trust systems around them.
One lab. Five infrastructure surfaces.
Bilinc
Bilinc is ReARC Labs source-available memory and state plane for agents that need recall, snapshots, belief revision, audit trails, and recoverable operational context.
Clawifi
Clawifi is ReARC Labs internet gateway for agents: public web access, API keys, credits, CLI, MCP, and a clean account flow for browsing, fetching, and connecting to web resources.
Compaly
Compaly is ReARC Labs AI operating company surface: a command center where agents coordinate departments, preserve company memory, surface signals, and ask for approval before risky execution.
Docly
Docly is ReARC Labs production document surface for file processing, PDF workflows, structured errors, API use, subscriptions, and agent-ready document operations.
The primitives agent systems need before they can be trusted.
Persistent agent memory
Carry project state, operator decisions, and evidence across long-running work.
Governance and execution tracking
Make protocol and organization-level decisions visible before actions become irreversible.
Document operations
Move file-heavy work into structured, API-ready processing flows.
Company operating surface
Coordinate departments, company memory, signals, approvals, and execution from one board.
Internet gateway
Give agents a clean path to browse, fetch, and connect to public web resources.
Developer APIs
Expose practical integration surfaces without leaking sensitive internal systems.
Audit-ready signals
Surface status, traces, approvals, and evidence where humans need to review them.
Human approval gates
Keep sensitive execution behind explicit review instead of hidden automation.
A layered trust stack for agent operations.
Interface Layer
Dashboards, docs, answer pages, and operator consoles
Agent Layer
SDKs, API routes, MCP-ready tools, and workflow adapters
Trust Layer
Identity, memory, evidence, policy, reputation, and approvals
Execution Layer
Governance, documents, company operations, web access, and status flows
Observability Layer
Events, status, logs, traces, audits, and public-safe signals
Built for agentic operations with real consequences.
Agent memory and recall
Agents can preserve durable project context and retrieve relevant evidence when work resumes.
Protocol governance operations
Teams can track decisions, reputation, disputes, and execution intent before action.
AI document operations
Document intake, extraction, review, and lifecycle work can become structured.
Company operating loops
Founders can coordinate departments, company memory, signals, approvals, and execution.
Agent internet access
Agents can browse, fetch, and connect to public web resources through a controlled gateway.
Public by design, careful by default.
Least privilege
Sensitive actions should be scoped, reviewable, and reversible where possible.
Audit trails
Important memory, document, governance, and access actions need visible evidence.
Human approval gates
High-impact operations stay behind explicit operator review.
Operational separation
Public site, product systems, and private infrastructure should remain clearly separated.
Designed for builders who need reliable integration points.
Product APIs
Connect to the surfaces that expose memory, workflow, governance, company operations, and web-access primitives.
Agent-ready context
Design integration paths for agents that need recall, state, and safe execution boundaries.
Structured evidence
Capture the relevant proof around documents, decisions, approvals, and operational events.
Questions the site should answer cleanly.
What is ReARC Labs?
ReARC Labs is an applied AI infrastructure lab building trust, memory, governance, document, company-operations, and web-access systems for autonomous agents.
What products does ReARC Labs build?
The active public stack includes ARES Protocol, Bilinc, Clawifi, Compaly, and Docly.
Is ReARC Labs only for Web3?
No. ARES has protocol and governance roots, but the broader ReARC stack supports memory, documents, company operations, and web access for AI-native teams.
Does ReARC Labs provide APIs?
Yes. Public developer surfaces are being organized around product-specific APIs, SDKs, and agent-ready integration patterns.
How does ReARC Labs think about security?
The public posture is least privilege, environment separation, auditable workflows, explicit approval gates, and no public exposure of secrets or private operational details.
How can I contact ReARC Labs?
Use [email protected] for product, developer, partnership, and infrastructure conversations.