Runcell releases

Release 0.1.25

Runcell AI 0.1.25 focuses on Agent memory, smoother long-running work, and fixes for several issues reported by users in recent Agent sessions.

In particular, this release addresses problems some users saw during long tasks where tool calls could appear to produce no output, responses could be cut off, or reasoning-model sessions could fail to continue cleanly. These issues were most visible with models such as Sonnet 4.6, Opus 4.7, and Opus 4.8.

Agent Memory

Runcell Agent can now remember useful information across sessions, such as your preferences, project conventions, repository context, and important notebook or dataset notes.

This helps the Agent pick up work with less repeated setup, especially when you return to the same project later. You can also ask the Agent what it remembers or ask it to forget outdated information.

Better Long-Running Agent Reliability

Long-running Agent tasks are more resilient when the notebook connection briefly drops or the JupyterLab tab refreshes.

Runcell now recovers more gracefully from short connection interruptions, reducing cases where an Agent task gets stuck because the notebook bridge temporarily disconnected.

Continue Long Responses

When a model response reaches its output limit, Runcell now shows that the response was incomplete and lets you continue from where it stopped.

You can send "continue" to resume the answer instead of restarting the request or losing the unfinished response.

Smoother Chat Workflow

You can now queue a follow-up message while the Agent is still responding. This makes it easier to steer long-running conversations without waiting for the current response to finish.

User messages are also easier to revise: edited messages now support image attachments, including pasted or uploaded images.

Cleaner Tool Output

Long command outputs are now automatically collapsed in chat, making conversations easier to scan while still keeping detailed output available when needed.

Notebook and command outputs are also cleaned up more consistently, including better handling of terminal formatting characters.

More Model Options

This release adds support for more models, including Claude Opus 4.8 and Gemini 3.5 Flash.

Image understanding and content-reading features also use improved default model routing for better quality and reliability.

Bug Fixes

1. Fixed long-task issues where tool calls could appear to have no output, incomplete output, or truncated responses.
2. Fixed continuation and reasoning compatibility issues seen with several advanced reasoning models, including Sonnet 4.6, Opus 4.7, and Opus 4.8.
3. Fixed several issues that could interrupt long-running Agent tasks after notebook reconnects or temporary frontend disconnections.
4. Fixed cases where stopped server-side tool calls were not saved correctly in chat history.
5. Fixed notebook execution timeout handling so timed-out runs are reported more clearly and preserve available output.
6. Fixed cases where the Agent could fail when trying to run or edit a non-code notebook cell as code.
7. Fixed file reading for some non-UTF-8 encoded files.
8. Fixed authentication state handling when login is cancelled.
9. Improved error handling so user-facing messages are clearer while preserving enough detail for the Agent to recover.

Release 0.1.24

Runcell AI 0.1.24 adds more control, clearer credit usage, and a smoother notebook experience.

Custom Reasoning Effort

Users can now choose the reasoning effort for supported models: Low, Medium, High, or Extra High.

This gives more flexibility when balancing speed, cost, and quality. Use lower effort for quick tasks, and higher effort for complex analysis, debugging, or coding work.

Token-Based Credits

Ask/Chat and Agent Credits are now calculated based on actual token usage instead of a fixed per-message cost.

This makes Ask/Chat and Agent usage easier to understand: longer conversations, larger context, model choice, cached tokens, and output length now affect credit usage more directly. Other AI features, such as completions and utility actions, continue to use their standard feature-based credit rules.

More Model Options

This release adds support for newer models, including GPT-5.5, Kimi K2.6, DeepSeek V4 Pro, MiniMax M2.7, and GLM-5.1.

Better Notebook Experience

Agent changes to notebooks are now more reliably synced with the live JupyterLab notebook UI. Reading notebook context, editing cells, running cells, and updating outputs should feel more consistent.

Smoother Chat UX

Streaming responses no longer force-scroll when users are reading earlier messages. Tool interruptions and failures are also displayed more clearly in chat history.

Release 0.1.22 / 0.1.23

release date: 2026-04-28

0.1.23 is a hotfix released within a few hours of 0.1.22, so the two releases are documented together here.

New features:

1. Parallel Agent conversations — The headline feature of 0.1.22. You can now run multiple Agent-mode conversations in parallel, so a second conversation can work on task B while the first one is still busy with task A. Running several Agents side by side meaningfully improves throughput when you have multiple things going on at once. A couple of practical notes:
   • We recommend avoiding having multiple Agents operate on the same notebook at the same time.
   • Agent conversations are isolated from each other to prevent cross-task conflicts.
2. Relaxed default Shell permissions — Once you've approved a permission, similar Shell calls will no longer keep asking for it. In practice this means far fewer interruptions when the AI uses Shell Execute frequently, especially for basic read-only commands, which are now open to the Agent by default.
3. Offline / detached Agent tasks — Once an Agent task has started, it will keep running even if the notebook is closed or refreshed. This prevents long-running tasks from being interrupted just because a tab was reloaded or closed.
4. URL fetch tool — You can now paste URLs directly into the conversation and the Agent will read and understand the page content. This is great for pointing the Agent at specific documentation pages or other reference websites.

Bug fixes:

1. Fixed high latency in several tool calls.
2. Fixed an issue where the Agent would occasionally insert cells at the wrong position.
3. Fixed missing "currently streaming" prompt indicators in the Chat UI in certain situations.
4. Fixed the model list not updating automatically.
5. (0.1.23) Fixed a chat-merging issue between parallel Agent conversations that could occur depending on the timing of when conversations were created.

Release 0.1.21

release date: 2026-04-03

1. Added Compact for long-running conversations. When a model's context gets close to its limit, Runcell can now compress the conversation context to keep the session moving instead of forcing you to restart or lose momentum. We currently support both Manual Compact and Auto Compact, so you can either decide when to compress or let Runcell handle it automatically.
2. Added parallel tool calling. This significantly improves how fast the Agent can read and understand large, complex codebases by working across multiple tools at the same time, which makes deep repository analysis much more responsive in real-world engineering workflows.
3. Improved Agent mode performance, with better overall responsiveness, lower latency, and more stable network behavior during longer sessions.
4. Fixed missing History backup timing, making backups more reliable and reducing the chance of losing important session history.
5. Fixed a large-file write issue, so write-file operations are now more stable when working with bigger files.
6. Polished a number of UI details for a smoother overall experience.

Release 0.1.20

release date: 2026-03-08

1. Fixed an issue where text content was being truncated when file editing and read/write tools processed excessively large files.
2. Resolved an "Authentication Error" (specifically occurring under certain unique conditions).
3. Added support for Shell Execute, providing finer-grained control over command-line tool instructions.
4. Added support for new models, including GPT-5.4 and GPT Codex 5.3.
5. Runcell now can read and understand images/visual content on local devices/in notebook.
6. Better Agent context and better tools for agent to understand notebook(.ipynb) content

Release 0.1.19

release date: 2026-02-19

• Fix compatibility with interactive charts libraries, like Plotly, Vega Altair or even ipywidgets.
• Runcell Agent now can understand visual elements from plotly, vega altair and lots of ipywidgets instead of regarding them as html.
• New upgrade tool, which allow user can one click to finish upgrade + restart jupyter
• New model support - Sonnet 4.6, Gemini 3.1 Pro, GLM 5, MiniMax 2.5 are now available.
• Fix credits remain display bug
• Fix file system tools result with large content waste the context window of AI agent.

Release 0.1.18

release date: 2026-02-10

• Pause/Resume for agents — The agent can now be paused and resumed, which means it can handle long-running tools (model training, large database queries, scripts that take hours) without hitting timeout issues. This was a known bug in earlier versions.
• Permission controls for tool calls — runcell now asks for your approval before executing actions like running code, bash commands, or installing dependencies. This gives you more control over what the agent does. It's fully configurable — you can choose between manual approval or letting it act directly.
• New model support — Opus 4.6, Codex 5.2, and Kimi 2.5 are now available.

Release 0.1.17

release date: 2026-01-12

• Gemini 3 models support
• Use nano banana to optimize visualizations

Release 0.1.16

release date: 2025-12-28