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A blazing-fast, Rust-powered TUI for terminal-native AI code intelligence and assisted development.
- Forks
- 2
- Last pushed
- Updated Sep 2026
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CommunityJev Agents & MCP
Rift
A flicker-free terminal coding agent built in Rust for local models: Ollama's native API and OpenAI-compatible servers are first-class targets, cloud providers are optional, and it ships as one ~14MB binary.
- Stars
- 12
- Language
- Rust
- License
- MIT
- Reading time
- 2 min
- Published by
- Community
- Author
- exyze
- Last verified
- Oct 2026
Used inJev for Software & DevTools
- Languages
- Rust
- Capabilities
- Open sourceRuns locally
Highlights
- Benchmarked against opencode on a 50-task suite: more tasks solved (44 vs 42), 57% fewer prompt tokens, and 3.4x faster, with wire-measured tokens.
- One ~14MB binary with no Node or Python; installs via Homebrew, a curl script, PowerShell, scoop, or cargo.
- Speaks Ollama's native /api/chat protocol rather than the OpenAI-compat shim, with textual-tool-call recovery and hallucinated-tool-name aliasing.
- Addresses context blowout with explicit num_ctx, silent-truncation detection, token-capped tool outputs, and two-stage compaction.
- WarpDrive runs parallel agent exploration in isolated git worktrees with side-by-side diff merge; a VS Code extension ships in vscode/.
Quickstart
bash
brew tap exYze/tap && brew install rift
curl -fsSL https://raw.githubusercontent.com/exYze/rift/master/install.sh | shWatch out
Copy reviewed against the repository README on 2026-10-15; the README documents no Jev or TypeSafe integration, so this entry reflects the directory listing attribution rather than a documented connection. Benchmark figures are the project's own comparisons against opencode, detailed in docs/BENCHMARKS.md.
Questions about this entry
Short answers drawn from the linked project or page.
A terminal coding agent written in Rust and designed for local models. Ollama's native API and OpenAI-compatible servers such as vLLM, LM Studio, and llama.cpp are first-class targets, and cloud providers are optional.
The README does not document any Jev or TypeSafe integration. It is a local-model coding agent included in the Jev projects listing, and this entry is grounded on that listing plus the repository README.
On macOS or Linux, brew tap exYze/tap and brew install rift, or run the one-line install script; Windows has a PowerShell script and a scoop manifest. From source, cargo install --git https://github.com/exYze/rift rift-tui.
Local servers through Ollama's native API or any OpenAI-compatible endpoint, and optionally cloud providers such as Anthropic, OpenAI, and OpenRouter.
Its own benchmarks report 44 vs 42 tasks solved on a 50-task suite with 57% fewer prompt tokens and 3.4x faster wall time, and 150/150 vs 149/150 on a 150-run suite against deepseek-v4-flash-dspark.
Parallel agent exploration in isolated git worktrees with side-by-side diff merge, one of the features aimed at the failure modes Rift sees in other local-model agents.
It checks for new releases on startup at most once every 24 hours and shows a one-line notice; RIFT_NO_UPDATE_CHECK=1 disables the check. The README says no other network calls are made except to your own Ollama server.
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