Enterprise-Grade Autonomous Developer Team

Development with Infinite Context

Pamet transforms your past decisions into actionable standards for an AI agent swarm. Achieve Zero-Interaction Production with longitudinal graph-based memory powered by Mem0ᵍ.

21%
Productivity Boost
65%
Autonomous Fix Rate
90%
Cost Reduction

Coordinator-Specialist Architecture

A multi-agent swarm powered by adk-rust for orchestration and oh-my-opencode for execution. Each specialist maintains shared LTM through Mem0ᵍ.

Pamet

Architect

Rust + Qdrant 1.16

Shared Long-Term Memory. Maintains SCIP symbol graphs and Mem0ᵍ relationship nodes across all repositories.

💭 Building symbol graph...

Prometheus

Product Lead

Claude 4.5 Opus

Long-horizon planning. Generates PRDs and AGENTS.md tasks using ADK CoordinatorAgent patterns.

💭 Analyzing requirements...

Banani

UI Spec

GPT-4o-Vision

Converts visuals and mockups into pixel-perfect responsive Tailwind/React components.

💭 Parsing mockup layout...

Sisyphus

Lead Developer

Claude 3.7 Sonnet

Repository-wide execution via parallel git worktrees. Handles multi-file reasoning across backend and frontend.

💭 Spawning worktrees...

Momus

QA / Logic Auditor

OpenAI o3

High-reasoning TDD generation and OWASP Top 10 security reviews. Mandatory audit before every PR.

💭 Running OWASP scan...

Icarus

Flash Worker

MiMo-V2-Flash

Low-cost worker for boilerplate, CRUD operations, and config files at $0.1/1M tokens.

💭 Generating boilerplate...

All agents share a unified Mem0ᵍ graph memory with the Hierarchy of Truth: Team Rules → Project Rules → User Rules. Intelligent routing sends boilerplate to MiMo-V2-Flash and high-logic to Opus 4.5.

adk-rust v0.2.1oh-my-opencode v1.7.0Qdrant 1.16.2Memgraph 3.0

Autonomous Pipelines

Three battle-tested workflows powering Zero-Interaction Production from onboarding to self-healing.

Pipeline Alpha

Codebase Digest

Onboarding

1

Recursion

Tree-sitter + SCIP build multi-repo symbol graph

2

Clause Mining

Extract Rules, Modules, and Codestyle

3

Bias Guard

Audit AI defaults vs project idioms

4

Triage

Human Confirm/Forget via dashboard

Automation LevelSemi-Auto

Pipeline Beta

Intent-to-Product

Build

1

Consensus

Quorum Pattern with 3 independent agents

2

Synthesizer

Merge results from specialist agents

3

Implementation

Sisyphus executes via git worktrees

4

Audit

Momus security review before PR

Automation LevelFull-Auto

Pipeline Gamma

Ralph-Loop

Self-Healing

1

Golden Packet

Capture traces, logs, screenshots

2

Repair

LoopAgent iterates on implementation

3

Retry Gate

Max 2 attempts before escalation

4

Human Veto

Escalate to developer if fix fails

Automation LevelSelf-Healing

Intelligent Routing

Tasks classified by complexity. Boilerplate → MiMo-V2-Flash. High-logic → Opus 4.5.

Quorum Pattern

Critical modules solved by 3 independent agents. Synthesizer merges best results.

Observability

Real-time telemetry: cost-per-run, token usage, swarm state (Created, Running, Failed).

The Codebase Digest Pipeline

Onboard any repository with enterprise-grade symbol indexing, automatic pattern extraction, and safety-first memory persistence.

Language-Agnostic

SCIP Precise Indexing

Symbol-level code intelligence with full cross-reference resolution using SCIP v0.4+

Multi-Repo

Tree-sitter 0.26.3

Multi-repository symbol graph building with incremental parsing and cAST chunking

Auto-Extract

Clause Mining

LLM identifies recurring patterns (Rules), reusable logic (Modules), and Codestyle

Vector Store

Qdrant 1.16.2

Tiered multitenancy vector database for semantic memory retrieval

Efficient

Code-over-API via MCP

Agents query memory by writing transient code rather than loading definitions into context

90% Savings

Aggressive Caching

Mandatory prompt caching for project rules and SCIP tables achieving 90% cost reduction

Safety Rail

Bias Guard

Mandatory audit ensuring AI defaults do not overwrite niche project idioms

Human-in-Loop

Human Veto Point

Findings staged in pending_review table for Confirm/Forget via web dashboard

Powered by Mem0ᵍ + Memgraph 3.0

Every interaction, decision, and code change persists in a unified knowledge graph. Stable Jan 2026 stack: Rust 1.92.0 daemon, Next.js 15 / TypeScript 5.8, Logto auth.

Live Memory Graph Active
Rust 1.92.0
Next.js 15

Maximum Security Architecture

Confidential Computing with data-in-use encryption inside hardware-isolated TEEs. Your code and context remain absolutely private.

Zero-Knowledge E2EE

End-to-End Encryption

Keytar Integration

Keys managed by local OS Keychain via Keytar. We cannot access your data even if we wanted to.

Encrypted Graph Nodes

Every memory node in the graph is individually encrypted with AES-256-GCM.

Forward Secrecy

Automatic key rotation ensures compromised keys cannot decrypt past sessions.

Encryption StandardAES-256-GCM
Key ManagementOS Keychain (Keytar)

TEE-Enclave Isolation

Trusted Execution Environment

Hardware-Level Isolation

Agent execution occurs in secure enclaves, protected from the host OS and other processes.

Attestation Verification

Cryptographic proof that your code runs in a genuine, unmodified secure enclave.

Memory Encryption

All runtime memory is encrypted, preventing cold-boot attacks and memory scraping.

Enclave TechnologyIntel SGX / AMD SEV
Attestation ProtocolRemote Attestation

Security Certifications

SOC 2 Type IIISO 27001GDPR CompliantHIPAA Ready