Most multi-agent systems don’t just have a memory problem. They have a governance problem. I buil...Most multi-agent systems don’t just have a memory problem. They have a governance problem. I buil...
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Most multi-agent systems don’t just have a memory problem. They have a governance problem.
I built Context-Bridge, a self-hosted shared memory infrastructure for AI agents.
Instead of passing oversized conversation histories between agents, it provides task-scoped retrieval with:
• Full provenance and traceability
• Confidence-aware recall
• Duplicate and contradiction detection
• Belief revision without erasing history
• Agent reliability and reputation signals
• Support for Qdrant, Redis, PostgreSQL, and Docker
The goal is simple: help AI systems remember the right information, understand where it came from, and avoid turning conflicting claims into false certainty.
I’m now offering custom AI agent, memory, and RAG system development for teams building real-world AI products.
I just open-sourced my Contra MCP Starter Toolkit ⚡
Contra now has a native Model Context Protocol server, which means MCP-compatible AI agents can work directly with your Contra account — profile, services, portfolio, proposals, projects, invoices and more.
The problem: getting a coding agent properly connected still involves OAuth, PKCE, token refresh, MCP configuration and making sure the agent respects Contra’s prepare → confirm workflow.
So I packaged the setup I was using into an open-source starter kit:
• One-command OAuth setup — run npm run auth, authorize Contra in the browser, and the local callback handles PKCE and token exchange.
• Zero dependencies — native Node.js 18+ only: fetch, crypto, http and fs.
• Automatic token refresh — the client catches expired sessions, refreshes the access token and retries the MCP request.
• Safe agent workflows — instructions for Cursor, Google Antigravity, Claude Code and Windsurf built around Contra’s native prepare → confirm protocol, including a full before/after review before any live mutation.
• Zero-code AI mode — copy-paste prompts for inspecting your Contra account, restructuring services, updating your profile and publishing portfolio case studies without writing JavaScript yourself.
• Content-as-Code templates — Markdown blueprints for profile positioning, flagship services, pricing, FAQs and structured case studies.
The interesting part for me isn’t just Contra.
It’s the workflow: your professional profile becomes something an AI coding agent can inspect, reason about and maintain through structured tools — while you keep final approval over every write.