February 2026 Summaries

Dispatch 0x0003 introduces several enhancements to the Entire CLI, which creates a semantic reasoning layer that stores agent context in Git through Checkpoints, allowing users to explore and share their intent. This update brings the CLI to Cursor, adds OpenCode support, and optimizes performance through caching and improved Git operations. It addresses issues like stuck checkpoint IDs, false positives in shadow branches, and session race conditions, while also enhancing the web viewer with a searchable breadcrumb combobox and public repo availability on entire.io. The update includes the deprecation of the auto-commit command, improved secret redaction, Unicode support, and session hygiene, and introduces Entire as a Nix package. These improvements are made possible through community contributions and aim to further integrate the Entire CLI within the agent ecosystem.

Entire CLI’s latest update expands its semantic reasoning and Git-based agent-context tracking system, called Checkpoints, to Cursor and OpenCode, allowing users to capture session logs and connect agent intent to repository activity, though Cursor currently lacks rewind and resume features. Performance and reliability improvements include faster checkpoint creation through caching and optimized Git work-tree operations, improved handling of squash merges, fixes for concurrent-session and stale-session issues, more efficient metadata branch updates, and better fresh-clone support. The release also adds a searchable repository selector and public repository access to the web viewer, an “Always” option for linking commits to checkpoints, scoped hooks and logs for enabled repositories, more accurate secret redaction, Unicode-safe text truncation, cleaner session metadata, and Nix package availability. The project is deprecating its auto-commit command in favor of having agents perform commits directly and plans to continue integrating with a broader range of agent tools.

Dispatch 0x0002 reports updates to the Entire CLI, which captures AI agent sessions and links their reasoning, conversations, and file changes to Git through Checkpoints to reduce context loss across development sessions. The release strengthens the CLI’s multi-agent integration framework and adds Gemini CLI support for transcript parsing, Checkpoint creation, and session explanations. It also introduces layered secret detection and redaction, more resilient Git hook installation that accommodates worktrees, custom configurations, and external hook managers, and reliability fixes for subagent changes, deleted files, ignored files, and one-commit-per-Checkpoint history. Additional improvements redesign the `entire enable` setup flow, fix session restoration after repository operations such as pulls and rebases, preserve Checkpoint history across branch changes, and provide clearer handling for empty repositories. The project plans to expand compatibility across the wider agent ecosystem so developers can retain Git-native context regardless of the agent they use.

Dispatch 0x0002 introduces advancements in the Entire CLI, focusing on improving context preservation in agent-driven development through the use of Checkpoints, which bind agent context to Git on every push. The update enhances integration capabilities by simplifying how external tools interact with grouped changes, supporting full transcript parsing, Checkpointing, and session explanations, while also implementing secret scanning to protect sensitive data. The update improves hook management by preserving existing hooks and recognizing external managers, ensuring smooth operation. Enhancements to task file modification tracking and session restore provide reliability and a streamlined setup experience, with the goal of extending the integration of the Entire CLI across diverse agent ecosystems for better context management.

A new initiative has been launched featuring "Checkpoints," a tool that records agent context as versioned data in Git, marking the first step towards creating a universal semantic reasoning layer for agents. This release includes enhancements to the Entire CLI and web UI, such as improved support for Google Gemini CLI with functions like explain, rewind, and resume now compatible with Gemini sessions. Additionally, layered secret detection using gitleaks has been introduced to bolster protection against accidental credential leaks by integrating entropy-based redaction, and Git hooks can now integrate seamlessly with existing hooks. The Checkpoint view on entire.io has been optimized for easier navigation by consolidating session logs and code diffs. Regular updates with new features, improvements, and bug fixes will continue to be released weekly.

Entire’s first weekly dispatch announces Checkpoints, a feature that automatically stores agent context as versioned, first-class data in Git and is intended as an early step toward a universal semantic reasoning layer for agents. Recent CLI and web UI updates include improved Google Gemini CLI session support for explaining, rewinding, and resuming sessions; layered secret detection combining gitleaks patterns with entropy-based redaction; and Git hooks that can chain with existing hooks. The entire.io interface also now combines session logs and code diffs in a unified, easier-to-navigate Checkpoint view, alongside additional bug fixes and improvements.

Entire has launched with a $60 million seed round to develop an AI-native developer platform intended to support collaboration between humans and coding agents as automated code generation accelerates. The company argues that conventional software-development tools such as issues, Git repositories, and pull requests were designed for human-centric workflows and do not adequately preserve the intent, constraints, and reasoning behind agent-generated changes. Its planned platform combines a Git-compatible database for code and contextual metadata, a semantic reasoning layer for coordinating multiple agents, and a redesigned software development lifecycle. The first open-source release, Entire CLI, introduces “Checkpoints,” which automatically capture agent-session information—including prompts, transcripts, files touched, token use, and tool calls—and link it to Git commits while storing an append-only audit log in a dedicated repository branch. Initially compatible with Anthropic Claude Code and Google Gemini CLI, with additional integrations planned, the tool aims to improve traceability, code review, handoffs, and continuity across concurrent agent sessions while forming the basis for a future shared memory layer for AI agents.

Entire, a new company supported by a $60 million seed investment, aims to revolutionize the software development lifecycle by developing a platform that facilitates collaboration between agents and humans, using a git-compatible database and a universal semantic reasoning layer. As advancements in agentic intelligence reshape coding, traditional software development processes are becoming inadequate, prompting Entire to create an AI-native system that integrates agent context and reasoning as versioned data in Git. Their first product, the open-source Entire CLI, introduces 'Checkpoints'—a feature that captures agent session details, enabling traceability and efficient collaboration between agents by preserving the context of code generation. The launch of Entire CLI, initially compatible with agents like Anthropic's Claude Code and Google Gemini CLI, marks the first step toward a broader vision of a collaborative, scalable, and independent developer platform, with future developments guided by community feedback.