Potencia tu agente
Instalación del publicador. No es un endpoint de PlugMCP.
Host a copy with our keys and logs.
Aún no hay una versión empaquetada en el registro. Sigue el README del repositorio.
¿URL remota o un comando en tu máquina? En qué se diferencian las dos instalaciones
Ejecutar en 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.
AbrirDel publicador
Persistent memory for AI coding agents. Single binary, zero runtime dependencies, MCP-native, and designed to keep useful context alive after the window compacts.
Named after fungal hyphae, the branching filaments that connect and distribute nutrients through the organism.
Part of the Basidiocarp ecosystem.
Persistent memory and RAG for AI coding agents. Episodic memories with decay + durable concept graphs. MCP server + CLI. Rust.
AI agents forget everything between sessions. Architecture decisions, resolved bugs, project conventions, and prior corrections vanish when the transcript compacts or the session ends.
Hyphae gives agents two memory models that do different jobs. Memories handle the day-to-day flow of decisions, errors, and notes with decay; memoirs keep the durable concept graph that should not disappear. On top of that, Hyphae adds hybrid retrieval, document indexing, and session tracking.
Boundary:
hyphaeowns memory, retrieval, and session records. It does not own shell filtering, code intelligence, hook capture, UI, or installation.hyphae-corestays domain-only: types, traits, and embedder abstractions, with transport, operator, and persistence concerns living in sibling crates.
# Quick install: smaller binary without local embeddings
curl -fsSL https://raw.githubusercontent.com/basidiocarp/hyphae/main/install.sh | sh
# Quick install: prebuilt binary with embeddings enabled
curl -fsSL https://raw.githubusercontent.com/basidiocarp/hyphae/main/install.sh | sh -s -- --embeddings
# Recommended: full ecosystem setup
stipe init
# Alternative: hyphae-only setup
hyphae init
# Build from source
cargo install --path crates/hyphae-cli
# Smaller build without embeddings
cargo build --release --no-default-features
# Full build with embeddings
cargo build --release
Prebuilt release archives now ship both variants:
hyphae-<target>.tar.gz or .zip: slim build without local embeddingshyphae-<target>-embeddings.tar.gz or .zip: default build with embeddingsAgent Hyphae Stored state
───── ────── ────────────
store memory ─► episodic memory ─► decaying memories
store concept ─► memoir graph ─► permanent concepts
query context ─► hybrid retrieval ─► ranked recall
end session ─► session lifecycle ─► outcomes and lessons
myceliumrhizomecortinacaphyphae (single binary)
├── hyphae-core domain types, traits, embedder logic only
├── hyphae-ingest file readers and chunking
├── hyphae-store SQLite, FTS5, sqlite-vec
├── hyphae-mcp MCP server and tool handlers
└── hyphae-cli CLI commands and operator surfaces
Versioned payloads stay explicit at the boundary. MCP tools that cross repo or host boundaries use schema/version fields instead of ad hoc shapes, and shared contract updates should land with their schema or fixture changes.
hyphae session start --project demo --task "refactor auth flow"
hyphae session end --id <session_id> --summary "completed refactor"
hyphae feedback signal --session-id <session_id> --type correction --value -1
hyphae session context --project demo
hyphae bench-retrieval # Benchmark retrieval quality using fixture-driven tests
Hyphae reads HYPHAE_LOG first, then falls back to RUST_LOG. If neither is
set, it defaults to warn.
HYPHAE_LOG=debug hyphae doctor
HYPHAE_LOG=debug hyphae serve
hyphae serve keeps stdout reserved for newline-delimited MCP JSON-RPC
responses. Logs go to stderr so they do not corrupt the MCP transport.
Embedding support pulls an ML dependency chain. The table below documents what each component does and when its artifacts arrive.
The ort-download-binaries feature (enabled in [workspace.dependencies]) causes
ort-sys to download a prebuilt ORT native library from the ort GitHub releases
page during the Rust build. The embedding model weights are downloaded from Hugging
Face on first use by fastembed.
To disable all binary downloads, build without default features:
cargo build --release --no-default-features
This produces a slim binary that uses FTS5 search only; no native library or model weights are downloaded. Hybrid vector search is unavailable in this mode.
Pinning: the Cargo.lock fixes all crate versions including ort-sys. The ORT
native binary version is determined by ort-sys; update ort-sys deliberately and
verify the new binary hash in the published ort-sys source before accepting the
upgrade.
cargo build --release
cargo nextest run
cargo test
cargo clippy
cargo fmt
cargo nextest run for the normal test loop.profile.dev is tuned for faster iteration with line-tables-only
debug info.criterion here, start with the retrieval hot paths in
hyphae-store rather than broad repo-wide benches.time cargo run -p hyphae-cli -- doctor.MIT
Persistent memory and RAG for AI coding agents. Episodic memories with decay + durable concept graphs. MCP server + CLI. Rust.
Herramientas
Aún no hay lista de herramientas. Los servidores remotos la reciben tras la primera comprobación de estado.
Preguntas frecuentes
Copia en esta página la configuración stdio para Cursor, Claude Desktop, Claude Code o VS Code. Usa la instalación del publicador, no un proxy de PlugMCP.
Este registro no indica ninguna variable de entorno obligatoria.
Hyphae se ejecuta localmente por stdio.
Última comprobación: 2026-10-28. Persistent memory and RAG for AI coding agents. Episodic memories with decay + durable concept graphs. MCP server + CLI. Rust.
