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Voltropy
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The long-context AI lab.
Makers of Vast-10M.
Makers of Vast-10M.
2 Following 697 Followers 44 Posts
Latest posts 5
"LCM: Lossless Context Management" (Ehrlich and Blackman, 2026) is now available on arXiv.
This is the paper that caused @openclaw to modify its architecture to support context management.
It's a must-read for anyone interested in RLMs vs LCM.
arxiv.org/abs/2605.04050
This is the paper that caused @openclaw to modify its architecture to support context management.
It's a must-read for anyone interested in RLMs vs LCM.
arxiv.org/abs/2605.04050
arxiv.org LCM: Lossless Context Management We introduce Lossless Context Management (LCM), a deterministic architecture for LLM memory that outperforms Claude Code on long-context tasks. When benchmarked using Opus 4.6, our LCM-augmented... ANNOUNCEMENT: We've built a coding agent that beats Claude Code on long tasks.
Today we're releasing it for free. Meet Volt: The coding agent who never forgets.
→ Dominates Claude Code on the OOLONG long-context benchmark, including at every length from 32K to 1M tokens.
→ Has unlimited recall. No more amnesia. Volt can code for weeks in a single coherent session.
→ Massively parallel. One tool call can process thousands of tasks. Like "Map" for LLMs.
→ Open source and model agnostic. Try Volt today with @openrouter or your API of choice.
Volt's performance is the result of a new architecture, Lossless Context Management (LCM), which applies lessons from the history of operating systems and programming languages to LLMs.
LCM is like paged virtual memory, except for managing context:
- Layer 1. An immutable append-only store of everything that occurs in the coding session.
- Layer 2. The active "context window" which functions like a cache layer for navigating to the appropriate section(s) of Layer 1 via a high-fanout DAG.
From a user perspective, this feels like an infinite context window, because the model never forgets and performance stays crisp.
For the technical details, read our paper: papers.voltropy.com/LCM
For the code, go to github.com/voltropy/volt.
Or get started with one line:
curl -fsSL voltropy.com/install | sh
Today we're releasing it for free. Meet Volt: The coding agent who never forgets.
→ Dominates Claude Code on the OOLONG long-context benchmark, including at every length from 32K to 1M tokens.
→ Has unlimited recall. No more amnesia. Volt can code for weeks in a single coherent session.
→ Massively parallel. One tool call can process thousands of tasks. Like "Map" for LLMs.
→ Open source and model agnostic. Try Volt today with @openrouter or your API of choice.
Volt's performance is the result of a new architecture, Lossless Context Management (LCM), which applies lessons from the history of operating systems and programming languages to LLMs.
LCM is like paged virtual memory, except for managing context:
- Layer 1. An immutable append-only store of everything that occurs in the coding session.
- Layer 2. The active "context window" which functions like a cache layer for navigating to the appropriate section(s) of Layer 1 via a high-fanout DAG.
From a user perspective, this feels like an infinite context window, because the model never forgets and performance stays crisp.
For the technical details, read our paper: papers.voltropy.com/LCM
For the code, go to github.com/voltropy/volt.
Or get started with one line:
curl -fsSL voltropy.com/install | sh
