Power your agent
คำสั่งของผู้เผยแพร่เอง ไม่ใช่เอนด์พอยต์ของ PlugMCP
Host a copy with our keys and logs.
cargo gpp-cliClaude Code ไม่มีลิงก์ติดตั้งสำหรับคำสั่งแบบโลคัล ให้คัดลอกคำสั่งด้านล่างแล้วรันในเทอร์มินัล
claude mcp add io.github.mahabubul470-gpp -- cargo gpp-cliรันในเทอร์มินัล
{ "mcpServers": { "io.github.mahabubul470-gpp": { "command": "cargo", "args": [ "gpp-cli" ] } }}claude_desktop_config.json
URL แบบรีโมตหรือคำสั่งบนเครื่องของคุณ? การติดตั้งสองแบบต่างกันอย่างไร
รันบน PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
เปิดจากผู้เผยแพร่
AI agents change code continuously, then lose the work that happened between commits — and the notes they keep about your codebase (, memory banks, knowledge files) go stale silently when the code moves on. gpp is a version control system built for that reality: it , promotes curated changesets with intent and provenance, and hosts project knowledge — so when a commit invalidates something you believed about the code, gpp can name that commit.
Project knowledge graph with history-checked belief staleness, changeset proposals, cost reporting
CLAUDE.md
(Recording is generated by scripts/demo.sh —
deterministic, reproducible, no mockups.)
cargo install gpp-cli
gpp init --graphex
echo "fn main() {}" > main.rs
gpp timeline # captured already — no staging, no commit
gpp promote -m "first cut" --intent feature
gpp diff HEAD # semantic diff: renames/moves are one op
And the part no other VCS does — record what you believe about the code, and let history police it:
gpp belief add --claim "token expiry is 24h" --evidence src/auth.rs:7-7
# ...weeks of commits later...
gpp belief bisect "token expiry is 24h"
# INVALIDATED cs:fhcpef7c "raise token expiry to 7 days"
# - 7 | pub const EXPIRY_HOURS: u64 = 24;
# + 7 | pub const EXPIRY_HOURS: u64 = 168;
Deterministic — diff intersection and blob hashes, zero LLM or network
calls. (For scale: asked to judge whether a stored memory has been
invalidated, the best frontier model manages 55.2% accuracy on the
STALE benchmark — here it's a
history query, not a judgment.) Validated on real history across five
repos in four languages — axum 0.6→0.7, flask 1.1→2.0, clap 3→4, zod
3→4, go-redis 8→9 — where every invalidated belief bisects to a pinned,
documented culprit commit and the control beliefs survive: see
demos/belief-bisect/ for the full matrix.
Everything else — P2P sync over Noise, replay, review/RBAC, a relay node,
a TUI — is the platform underneath: see
docs/ARCHITECTURE.md.
Git is the substrate, not the competition. The bridge
(gpp git-import / git-export / git-bridge) round-trips real Git
commits, so GitHub and existing workflows keep working — gpp's knowledge,
provenance, and governance layers ride alongside. The axum demo above
runs entirely on history imported through this bridge.
gpp ships an MCP server; agents query the knowledge graph (every belief
with a freshness envelope — anchor, commits since, and the changeset that
staled it), write their own evidence-anchored beliefs with
propose_belief (human-approved, then policed by history), propose
changesets, and report costs. Drop this in .mcp.json at your repo root:
{
"mcpServers": {
"gpp": { "command": "gpp", "args": ["mcp-server", "--stdio"] }
}
}
Full client setup (Claude Desktop, generic stdio) and the exposed tool
list: docs/MCP.md.
All 9 roadmap phases (0–8) implemented. See
docs/ROADMAP.md for per-phase deliverables and
documented deviations, docs/TODO.md for the prioritized
backlog, and docs/WORKLOG.md for the running
engineering log.
Verified 2026-08-23: 184 workspace tests pass, cargo clippy and
cargo fmt clean, full workspace builds. No stub crates remain — every
crate has a working implementation. Coverage is measured in CI
(cargo llvm-cov; 65.7% line at baseline, being raised).
Test depth is still uneven: foundational layers are well covered
(gpp-core, gpp-graphex, gpp-diff, gpp-tui ≥ 80% line; the CLI has
end-to-end suites for policy enforcement, cost reporting, reviewer
assignment and belief bisect), while several integration crates remain at
smoke-level (gpp-sdk, gpp-notify, gpp-rbac, gpp-replay).
"Implemented" here means built and tested against its milestone, not
exhaustively hardened everywhere. Closing that gap is the top item in
docs/TODO.md.
Also: extensions/{gh-gpp,vscode-gpp,neovim-gpp}, GitHub Actions +
GitLab CI templates, deploy/ Docker images, packaging/ Homebrew.
Documented follow-ups (recorded in the ROADMAP/TODO, not silently skipped): registry/license APIs for deps, native PyO3/napi bindings, outbound platform-review sync, apt/dpkg packages.
cargo install gpp-cli # the `gpp` binary (crates.io)
cargo install gpp-relay # relay node (optional)
# or from a clone
cargo build --release
cargo test --workspace
cargo bench -p gpp-core -p gpp-diff # criterion perf suite
Prebuilt binaries for Linux, macOS (ARM + Intel), and Windows are
attached to each release;
cargo install --git https://github.com/mahabubul470/gpp gpp-cli tracks
unreleased development.
# Governance
gpp policy template secrets-scan
gpp trust show
gpp audit --include-cost --include-graphex
# Decentralized: sync two repos over Noise
gpp sync serve 127.0.0.1:9473 # on peer A
gpp sync add a 127.0.0.1:9473 && gpp sync # on peer B
# GitHub-compatible
gpp remote setup --platform github --repository acme/webapp
gpp remote pr-create --base main
See CLAUDE.md for project context, docs/ for the
full specification (architecture, data model, CLI, protocols, roadmap),
and docs/book/ for the user guide + tutorials.
Project knowledge graph with history-checked belief staleness, changeset proposals, cost reporting
{ "mcpServers": { "io.github.mahabubul470-gpp": { "command": "cargo", "args": [ "gpp-cli" ] } }}เครื่องมือ
ยังไม่มีรายการเครื่องมือ เซิร์ฟเวอร์แบบรีโมตจะได้รายการหลังการตรวจสอบสถานะครั้งแรก
FAQ
คัดลอกคอนฟิก stdio สำหรับ Cursor, Claude Desktop, Claude Code หรือ VS Code ได้ในหน้านี้ คอนฟิกนี้ใช้การติดตั้งของผู้เผยแพร่ ไม่ใช่พร็อกซีของ PlugMCP
ระเบียนนี้ไม่ได้ระบุตัวแปรสภาพแวดล้อมที่จำเป็น
Gpp ทำงานแบบโลคัลผ่าน stdio
ตรวจสอบล่าสุดเมื่อ 2026-11-09 Project knowledge graph with history-checked belief staleness, changeset proposals, cost reporting