AI · Web app
supermemory Infinite Chat API
Context engineering API extending LLM context across providers via proxy routing
Infinite Chat API by supermemory is a context engineering proxy that handles long conversation histories, state tracking, and memory management for any large language model. By prepending the supermemory endpoint to standard provider SDK calls, it backfills context, prunes redundant turns, and manages multimodal history without blowing up token usage. It prevents context pollution and degradation across multi-turn agent runs and coding co-pilots.
What it's for
- Maintain persistent context across multi-step coding agents without repeating prior chat turns
- Reduce token usage and latency in long-running chatbot conversations
- Persist multimodal context like past screenshots, audio, and structured data across sessions
- Track agent tool calls and results so agents avoid repeating actions
Features
- Drop-in proxy integration by changing baseURL in existing OpenAI, Anthropic, or Gemini SDKs
- Multi-step agent support with automated conversation backfilling using conversation-id
- Context pruning and summarization to reduce context pollution and token costs
- Multimodal memory persistence across interaction turns
- Tool call tracking and awareness to avoid redundant function executions
- Long-context RAG that selectively surfaces relevant chunks
Pricing
Freemium. Free tier available; usage-based API pricing via developer console.
Details
- Type
- Web app
- Category
- AI
- Topic
- AI Agent Infrastructure
- Open source
- No
- Platforms
- API
- For
- Developers building stateful AI agents, chatbots, and long-running co-pilots
- Alternative to
- Mem0, LangChain Memory, Zep
- Tags
- context engineering, llm, ai agents, memory, api proxy, rag
Why it was saved
- @DhravyaShah: Solves the context-length limit for building chat/agent products; directly relevant to building coding agents per the video's closing frame.
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Updated