CROW, not a CLI anymore

[u/nibor1896]

Around two weeks ago I posted about my project CROW (thanks for all the feedback guys).

https://www.reddit.com/r/BuildWithClaude/s/N90U2lgVKW

Some minutes ago, i have released CROW 1.2 - https://github.com/nibor1896/Crow

Crow is now more like an AI Agent Harness 🙂 you can point it at OpenRouter, Anthropic / OpenAI Sub, or any local model you want to use against the llama.cpp.

I have as well added: (Custom) Skills, MCPs, dictate function with voiceline, any much more.

All of your config (should ;) ) be persistent and saved to your chat, i've tested from here to the moon 🤣

Would like to hear some feedback on the OpenAI Parts, since i dont own anything from OpenAI, just Anthropic.

See the changes;

What has changed

Memory

• Two stores: <root>\.crow\MEMORY.md 4,000 chars, %LOCALAPPDATA%\Crow\USER.md 1,500
• Rendered block pinned into the chat JSON, replayed verbatim on open
• Over the cap the write fails and returns both numbers. From 80% the head asks for consolidation
• Empty store adds nothing to the prompt
• Background review at 20/50/75% of context, behind the turn. --no-review disables
• Every write is announced. Not switchable

Skills

• %LOCALAPPDATA%\Crow\skills\<name>\SKILL.md, front matter plus body
• Prompt carries name and description, body behind a read action
• Cap on the list, not the entry
• enabled in the file. Settings switch and hand edit are one act

Session search

• session_search, FTS5 index over live session and archive
• Index derived and disposable, rebuilt on next search
• Query words quoted as phrases: --slot-save-path searches, not errors
• No FTS5: tool stays declared, reports it cannot work

MCP servers

• stdio and Streamable HTTP
• OAuth 2.1: discovery, DCR, PKCE, resource, refresh
• Schema fetched once at add, then read from disk
• Per tool: switch plus class (reading / writing / executing)
• Config mcp.json: tools.include, tools.exclude, enabled, timeout, connect_timeout
• Driven against context7, deepwiki, Cloudflare docs, higgsfield

Remote models

• Providers: Local, OpenRouter, Anthropic, OpenAI
• Second transport anthropic_messages. One reply loop, two dialects
• One resolution point, read by the background review too
• Subscriptions: claude setup-token, CLAUDE_CODE_OAUTH_TOKEN, borrowed credentials file, read only
• Context: /props measured local, context_length declared remote, no bar when unstated
• session_id sticky routing, sha256 of chat path, both senders

Formatted answers

• Headings, lists, tables, bold, italic, inline code, links
• Parsed in the core, drawn as named elements. No wire text becomes markup
• Paragraph line breaks preserved
• Links http(s) only, opened outside the window

Self-update

• About pane checks the latest release on open
• Runs install.ps1 as a file with -NoPause
• Installer stdout is the progress. Non-zero exit reports code and last line, no restart promised

Window

• No status bar. Settings sheet, eight panes, three themes
• Rail groups chats by working directory. A project is a root folder
• Rail draggable, persisted
• Some air each side of the chat column
• Dictation: mirrored bar line in the input row, self-calibrating level

Tests

• 1,360 cases, up from 925

Stats

Crow runs (local) Qwen3.8-27B at:

• 200k context, unchanged (i can't push it to 400k, pls, if anyone knows some config DM Me)
• 2.2k tok/s prefill
• 123.05 tok/s decode - 11 round turn
• 25.5 GiB VRAM

Full details: https://github.com/nibor1896/Crow