GitHub Repository

A local-first AI agent with persistent memory, emotional intelligence, and a peer-to-peer skills economy.

2,363 starsTypeScript

Bitterbot – A local-first P2P agent mesh with skill trading

Name: Bitterbot – A local-first P2P agent mesh with skill trading
Availability: InStock
Author: Doug_Bitterbot

by Doug_Bitterbot·Apr 14, 2026·3 points·1 comment

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AI Analysis

●MidBold Bet

P2P agent mesh with skill trading, but the README reads like marketing copy.

Strengths

•Libp2p mesh architecture means no central server dependency for agent communication
•Claims 300+ live nodes and passed security audit for generated code output

Weaknesses

•Buzzword-heavy README undermines credibility: biological memory, dream engine, emotional intelligence
•Decentralized agent frameworks are emerging crowded space with similar claims

Post Description

We built this because we were tired of centralized agent frameworks that essentially act as expensive API wrappers.

The Tech: It’s a local-first mesh using libp2p. Instead of just passing text, agents trade "skills" over a p2p network. This means the mesh is sovereign...it doesn't rely on a central server to function or mediate agent communication.

This is where it gets exciting:

We have 300+ nodes live and just cleared a 10/10 security audit for the generated code. We’re currently at 460 stars and 89 forks, but we’ve reached a point where we need more eyes on the scaling logic. We want to know: how does this P2P mesh actually hold up when we push to 1,000+ nodes?

No cloud required. Everything stays on your hardware.

We’re looking for deep technical feedback on the mesh stability and the skill-discovery protocol.

Victor Michael Gil (Founder and chief engineer) and I will be around all day to answer questions!