kungfu-systems/kungfu
Your agents don’t hand off the work. Kungfu keeps the same Work moving across Codex, Claude, OpenCode, and your own execution surface. observed · 2026-08-28
Health v2 · maintenance only
99/100
- Activity 99
- Release rhythm 99
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 0
- age_days: 3213
- days_rel: 9
- days_push: 7
- n_releases_24m: 4
Adoption not part of the score
4502 stars · 1286 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Kungfu is an open-source continuity layer for AI agent work, consisting of a local C++ runtime (libkungfu) and an open protocol (KFD) that let a unit of Work keep its identity, state, and evidence as it moves across agents like Codex, Claude, OpenCode, and Amp. It ships as a standalone CLI plus optional TUI/GUI sidecar views, with durable project-local state in a .kungfu/ workspace.
Use cases
- hand off an in-progress task from one AI coding agent to another without copying context
- resume agent work after a crash or dropped connection
- switch from an expensive model to a cheaper one mid-task while keeping the same Work
- audit and inspect what an agent did across multiple sessions
- run a deterministic mock-agent recovery scenario to test continuity locally
- keep durable, machine-readable records of agent attempts, approvals, and next actions
When to choose
- you regularly switch between multiple AI coding agents (Codex, Claude, OpenCode, Amp) on the same project
- you need work to survive agent crashes, disconnects, or vendor/model changes
- you want a local, auditable continuity layer without a mandatory cloud or vendor lock-in
- you want to mix expensive and cheap agents on the same unit of work
When to avoid
- you use a single agent exclusively and never hand off or resume work
- you need a production-stable, generally available tool - it is currently in public Alpha
- you want a fully autonomous multi-agent framework rather than a work-continuity and handoff layer
- you cannot tolerate a project-local .kungfu/ workspace directory in your repos
Facets
cli-tool · maturity experimental
agent-framework workflow-automation developer-tools cli developer-tools windows cli cross-platform agent-orchestration agent-continuity work-handoff agent-memory local-runtime open-protocol multi-agent ai-agents automation command-line macos linux
3 sources
- readme: https://github.com/kungfu-systems/kungfu · fetched 2026-08-28 · b1cda20d61c0
- homepage: https://kungfu.tech · fetched 2026-08-29 · 6f103319854b
- site_page: https://kungfu.tech/about/index.html · fetched 2026-08-29 · d80019bb7162
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| kungfu-systems/kungfu | main | 99 |
For agents
markdown · JSON · MCP: product_card(name="kungfu-systems/kungfu")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem