Codync
A free, open-source 1:1 alternative to Grok Bot and Muse. Message Claude Code, Codex, Cursor and 40+ coding agents as persistent bots from your iPhone, Mac or Linux desktop. Group chats, threads, appr
Token-efficient reading for Claude Code, OpenCode, OpenClaw, and NanoBot. SparseRead admits only the evidence needed for the next decision — up to 92.9% fewer tokens vs Naive full reading.
Developer toolsPython · TypeScriptGitHub @Zedong-LiuOnlineOwner unconfirmed
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SparseRead: token-efficient reading for AI agents. 读得更少,token 更省,证据不变。 Paper arXiv:2608.22237
Translation pending
Taken from the repository README
Loading the full README. The saved excerpt is shown below.
Read less. Solve more.
SparseRead is a training-free reading layer for tool-using agents. It controls
which evidence enters the model context before an agent pays the cost of a
broad read—while keeping provenance, refinement, verification, and native
fallbacks explicit.
Agents are good at reasoning, but their default reading action is often still:
That is expensive for long reports, PDFs, workspaces, logs, spreadsheets, and
multi-file audits. SparseRead adds a small control plane in front of native
agent tools:Read the full README ↗The full README is unavailable right now. Read it at the original link. The saved excerpt is shown below.
Read less. Solve more.
SparseRead is a training-free reading layer for tool-using agents. It controls
which evidence enters the model context before an agent pays the cost of a
broad read—while keeping provenance, refinement, verification, and native
fallbacks explicit.
Agents are good at reasoning, but their default reading action is often still:
That is expensive for long reports, PDFs, workspaces, logs, spreadsheets, and
multi-file audits. SparseRead adds a small control plane in front of native
agent tools:Read the full README ↗