UltraContext
A simple context API for AI agents with auto-versioning
Details
- External ID
- 46706442
- Source
- HN
- Company
- —
- Product
- UltraContext
- Website domain
- ultracontext.ai
- Launched
- Jan. 21, 2026
- Cohort
- —
- Upvotes
- 21
- Upvotes percentile
- 0.6587615283267457
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:25 p.m.
- Updated at
- Sept. 7, 2026, 9:25 p.m.
Description
Hey HN! I'm Fabio and I built UltraContext, a simple context API for AI agents with automatic versioning.After two years building AI agents in production, I experienced firsthand how frustrating it is to manage context at scale. Storing messages, iterating system prompts, debugging behavior and multi-agent patterns—all while keeping track of everything without breaking anything. It was driving me insane.So I built UltraContext. The mental model is git for context:- Updates and deletes automatically create versions (history is never lost)- Replay state at any pointThe API is 5 methods: uc.create() // new context (can fork from existing) uc.append() // add message uc.get() // retrieve by version, timestamp, or index uc.update() // edit message → creates version uc.delete() // remove message → creates version Messages are schema-free. Store conversation history, tool calls, system prompts—whatever shape you need. Pass it straight to your LLM using any framework you'd like.What it's for:- Persisting conversation state across sessions- Debugging agent behavior (rewind to decision point)- Forking contexts to test different flows- Audit trails without building audit infrastructure- Multi-agent and sub-agent patternsWhat it's NOT:- Not a memory/RAG system (no semantic search)- Not a vector database- Not an Orchestration/LLM frameworkUltraContext handles versioning, branching, history. You get time-travel with one line.Docs: https://ultracontext.ai/docsEarly access: https://ultracontext.aiWould love feedback! Especially from anyone who's rolled their own context engineering and can tell me what I'm missing.
Enrichment
- Theme
- AI agent frameworks and developer tools
- Vertical
- Horizontal
- Function
- Model & infra
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- context management api for ai agents
- Manually corrected
- False
Could you build this?
Yes It is a CRUD and session-management API with a CLI and local daemon that syncs agent context to a server and provides versioning and search.
Discussion
20 comments analyzed.
Competitors mentioned: memtree.dev (message compression API), Portkey (LLM middleware), Vector databases (Pinecone, Weaviate), Claude Code's built-in sub-agents
Concerns raised: Privacy/trust of storing messages on servers, Latency overhead from API call between agent and LLM, Scaling with very large datasets (10k+ messages), Version history explosion with frequent agent runs, Reinventing wheel vs using vector databases
Feature requests: Open-source the product, Client-side encryption or local-first deployment, Compression strategies for long-running agents, Parallel request option without middleware interception
Competitors
Other products that read as similar to this one — 309 launches clear the similarity bar, closest 8 shown.
Attention rank: #111 of 310 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 84 days after the earliest competitor.
- A Context Registry for AI coding agents · hn · 2026-09-03 · 9 upvotes · similarity 0.53
- Context Auto-Maintainer · ph · 2026-09-29 · 2 upvotes · similarity 0.52
- Context Surgeon · hn · 2026-04-13 · 5 upvotes · similarity 0.50
- My first SaaS to help human developers and AI agents share context · hn · 2026-07-02 · 5 upvotes · similarity 0.50
- CoreMem · hn · 2026-05-22 · 5 upvotes · similarity 0.49
- Context-compact · hn · 2026-03-07 · 6 upvotes · similarity 0.49
- Deepcon · hn · 2025-11-06 · 7 upvotes · similarity 0.49
- ContextHarbor · ph · 2026-09-15 · 2 upvotes · similarity 0.49
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a model & infra tool for Fintech yet.