Contextberg
Local AI agent memory served via MCP
Details
- External ID
- 1219603
- Source
- PH
- Company
- —
- Product
- Contextberg
- Website domain
- producthunt.com
- Launched
- Sept. 22, 2026
- Cohort
- —
- Upvotes
- 70
- Upvotes percentile
- 0.9741019884541373
- Tags
- Productivity, Developer Tools, Artificial Intelligence
- Fetched at
- Sept. 24, 2026, 4:20 a.m.
- Updated at
- Sept. 24, 2026, 4:20 a.m.
Description
Contextberg brings local AI agent memory to macOS and Windows. It captures screens, browser history, and agent conversations into a private, searchable archive, then serves relevant context to Codex, Claude Code, Cursor, and other agents over MCP. This launch adds native macOS capture, OCR screenshot search, source exclusions, and flexible model routing: use your existing Codex sign-in, a Gemini/OpenRouter API key, Contextberg Cloud, or a fully local model.
Enrichment
- Theme
- Claude integrations and coding agents
- Vertical
- Horizontal
- Function
- Data infrastructure
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Hobby / open-source project
- Normalized one-liner
- local memory server for ai agents via mcp
- Manually corrected
- False
Could you build this?
Partial The MCP server and local UI/LLM integrations are easily vibe-coded, but continuous background screen recording with low-resource native OCR across macOS and Windows presents significant OS-level engineering hurdles.
What it would actually take: The desktop client would likely be built in Swift/Objective-C (ScreenCaptureKit, Vision framework) for macOS and C#/Rust (Desktop Duplication API, Windows Media OCR) for Windows, bundled via Tauri. The system requires efficient frame-diffing algorithms to avoid burning CPU/battery during continuous capture, piped into a local SQLite/sqlite-vec database exposed over an MCP stdio server. Low-level OS API knowledge and client performance profiling are essential.
Competitors
Other products that read as similar to this one — 181 launches clear the similarity bar, closest 8 shown.
Attention rank: #13 of 182 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 320 days after the earliest competitor.
- Context Hub · ph · 2026-09-29 · 3 upvotes · similarity 0.60
- ContextPool · ph · 2026-04-13 · 179 upvotes · similarity 0.52
- Vilix AI · ph · 2026-09-11 · 3 upvotes · similarity 0.51
- ResumeContext · ph · 2026-09-22 · 71 upvotes · similarity 0.48
- Unify memory across agents and improve context rot, written in Rust · hn · 2026-04-05 · 5 upvotes · similarity 0.47
- PMB · hn · 2026-06-22 · 7 upvotes · similarity 0.46
- ContextVault · hn · 2026-07-13 · 12 upvotes · similarity 0.43
- CoreMem · hn · 2026-05-22 · 5 upvotes · similarity 0.42
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a data infrastructure tool for Media & entertainment yet.