CodeFire is the desktop command center for agencies and teams running AI coding agents. Team chat with your agents, orchestration across every project, client-ready reporting, and shared memory — one place for Claude Code, Codex, Kimi Code, and the CodeFire Agent to work like a team.
A chat-first shell built for client work. Your team's conversation with its agents stays front and center while a rail of dockable tools — Tasks, Workflows, Browser, Wiki, Notes, Git, Sessions, Files, Terminal, Activity, Reports — opens beside it or tears off into floating windows. Four CLIs, every client project, shared memory.
Every project gets Slack-style channels where humans and agents share the room. @mention an agent — or a whole agent team — and CodeFire routes the work, tracks it as a task, and posts the live run right in the conversation.
Save a procedure once, run it any time — "Onboard a new client", "Ship a release", "Security review pass" — and agents execute every step in sequence. Or compose multi-agent pipelines: plan with one agent, implement with another, verify with a third, each step routed to the CLI best suited for it.
Hand a running conversation from one CLI to another — or to a human teammate — with context, model selection, and task state carried over. A live agent census shows every running agent across every client project, so nothing works in the dark.
Hybrid vector + keyword search across functions, classes, blocks, docs, and git commits — exposed to your agent as context_search. Stale results never block; the index re-verifies in the background after sessions and on a scheduler.
Kanban that fills itself. Work you hand off in Team Chat is tracked automatically — every agent run attaches to a task, so client requests never evaporate into a chat log. Pull in work from email and mobile capture, then watch agents move cards to Done.
Launch a real Claude Code, Codex, Kimi Code, or CodeFire Agent session against the open project — supervised, streamed, and scoped to the folder you chose. Set permissions per session, define custom agents with their own instructions and models, and hand work off without leaving the app.
Architecture decisions, launch runbooks, client gotchas, glossaries — written once and read by every future session, on every teammate's machine. CodeFire seeds the structure from your repo, agents author through MCP, and freshness metadata flags pages that drift. New developer on the account? The brief is already written.
CodeFire spawns the actual CLI binaries you'd run in your terminal — no wrappers, no scraping. Tool calls, shell commands, and assistant turns stream into the chat panel as they happen, ready for you to approve, pause, or pivot.
Every CodeFire surface — wiki, tasks, notes, sessions, context search, browser, terminal, images, workflows, git, agent handoffs — is exposed to your CLI through a single MCP server. Agents don't just read your codebase; they update the project's shared brain.
Branded, letterhead PDF reports built from the work itself. Completed tasks become an invoice ledger with AI hour estimates, rates, tax, and Net-30 terms — or roll the whole portfolio up by client, by developer, or by team, on a schedule.
Connect Google once and assign GA4 properties and Search Console sites to each client project. Analytics report recipes turn them into executive summaries, KPI scorecards, and trend tables — and your agents can query the same data through MCP. Credentials stay encrypted on your machine, never exposed to agents.
CodeFire Capture mirrors your agent chat to your phone. Watch runs stream live, capture tasks and ideas from anywhere, and steer an in-flight agent from the couch — the desktop stays the source of truth.
CodeFire isn't only a memory layer — it's a desktop dev environment for the agentic era. The things you'd normally tab between, in one window your agents can also reach.
Claude Code, Codex, Kimi Code, and the built-in CodeFire Agent run as first-class in-app agent chats with live handoffs between them. Any other MCP-aware CLI still gets full access to the 126-tool MCP server.
Any other MCP-aware agent connects through the same 126-tool MCP server — setup guide.
Free and MIT licensed. Signed, notarized builds straight from GitHub Releases — updates are checked there too, never silently installed.
Grab the latest release for your platform. macOS builds are signed and notarized — no Gatekeeper hoops. Apple Silicon only; Linux ships x86_64 and arm64.
Full install walkthrough in the getting started guide.
One-click MCP install for any supported CLI — these deep links open CodeFire and wire up your config automatically.
Yes. CodeFire is MIT licensed and free to download. There is no telemetry — your projects, tasks, and wiki live in a local SQLite database on your machine.
Claude Code, Codex, Kimi Code, and the built-in CodeFire Agent run as first-class in-app agent chats with live handoffs between them. Any other MCP-aware CLI can connect through the bundled 126-tool MCP server.
Yes. Projects group by client, the dashboard shows every board, open task, and live agent at once, and portfolio reports roll up completed work by client, by developer, or by team — exportable as branded PDFs.
Every project gets Slack-style channels where humans and agents share the room. Mention an agent — or a saved agent team — and CodeFire routes the work, tracks it as a task, and posts the live run inline with approvals and threads. Shared agent teams sync to every teammate.
The macOS build is Apple Silicon (arm64) only. On Linux, both x86_64 and arm64 are supported via AppImage and .deb packages.
A Windows build is in the works. and we will email you the moment it ships.
No. CodeFire collects zero telemetry. Everything is local-first; team cloud sync is optional and off by default.
CodeFire bundles an MCP server that exposes 126 tools — context search, wiki, tasks, notes, sessions, browser automation, terminal, images, workflows, git, and agent handoffs — to any MCP-aware coding agent.