diff --git a/CHANGELOG.md b/CHANGELOG.md index 3d19ec27..39737d25 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -16,7 +16,7 @@ The new `fusion` strategy — weighted Reciprocal Rank Fusion of the vector and ### Validated -- **Full-release validation: pure-default 500Q LongMemEval run (2026-08-29)** — zero-config `--strategy default` on the complete validation set: **R@5 0.946 / R@10 0.977** on 470 non-abstention questions (**+9.2 pts** R@5 vs 0.15.0 hybrid baseline 0.854). Binary built from the exact release SHA; raw per-question results committed under `benchmarks/longmemeval/results_modal_default/` for independent verification. +- **Full-release validation: pure-default 500Q LongMemEval run (2026-08-29)** — zero-config `--strategy default` on the complete validation set: **R@5 0.946 / R@10 0.977** on 470 non-abstention questions (**+9.2 pts** R@5 vs 0.15.0 hybrid baseline 0.854). Binary built from the exact release SHA; aggregate results in `benchmarks/longmemeval/RESULTS.md`, raw per-question results on the benchmark Modal volume for independent verification. - **Public benchmark page + comparison chart (#1141)** — `docs/benchmarks.md` now publishes the dual-metric view from the same run: recall_any@5 **98.2%** (the metric competitor benchmarks publish) alongside the stricter recall_all family (recall_all@10 95.4%, strict recall_all@5 88.0% with mathematical ceiling 99.4%, coverage@5 94.3%). No other system in the comparison publicly reports the strict family. ## [0.15.0] — 2026-08-19 diff --git a/README.id.md b/README.id.md index 7bfc7098..eb65d14f 100644 --- a/README.id.md +++ b/README.id.md @@ -108,7 +108,7 @@ Setiap AI tool lupa. Context window penuh, sesi berakhir, dan AI kamu start over | **Setup** | Satu binary | pip + Docker + Qdrant | npm + Docker (iii-engine) | pip + Docker + Postgres | pip + Docker + Neo4j | Satu binary (Go) | | **API key** | ❌ Nggak perlu | ✅ OpenAI/LLM | ✅ LLM key | ✅ LLM key | ✅ LLM key | ❌ Nggak perlu | | **Offline** | ✅ Full | ❌ Cloud embedding | ❌ Butuh LLM | ❌ Butuh LLM | ❌ Butuh LLM + vector DB | ✅ Full | -| **Search** | **Hybrid** (Vector + FTS5 + RRF) | Vector + Graph | Vector + Graph | Vector | Temporal Graph | **FTS5 doang** | +| **Search** | **Fusion** (weighted RRF vector + hybrid; hybrid = HNSW + FTS5 RRF) | Vector + Graph | Vector + Graph | Vector | Temporal Graph | **FTS5 doang** | | **Kecepatan recall** | ~45ms | Network round-trip | Network round-trip | Network round-trip | Network round-trip | ~Cepat (lokal) | | **Data kamu** | ✅ Nggak pernah keluar | ⚠️ Dikirim ke cloud LLM | ⚠️ Dikirim ke cloud LLM | ⚠️ Dikirim ke cloud LLM | ⚠️ Dikirim ke cloud LLM | ✅ Lokal | | **Stars** | 🌱 Growing | ⭐ ~60K | ⭐ ~25K | ⭐ ~24K | ⭐ ~5K | ⭐ ~5K | @@ -171,7 +171,7 @@ uteke recall "caching decision" --room engineering | Fitur | Apa fungsinya | |-------|---------------| -| 🧠 **Hybrid Search** | Cari berdasarkan makna (vector) + kata kunci exact (FTS5). Digabung dengan Reciprocal Rank Fusion (RRF). | +| 🧠 **Hybrid + Fusion Search** | Cari berdasarkan makna (vector) + kata kunci exact (FTS5). Digabung dengan Reciprocal Rank Fusion (RRF). Sejak v0.16.0, `fusion` — weighted RRF dari ranking vector dan hybrid — jadi default recall strategy. | | 🏠 **Rooms** | **Shared memory multi-agent.** Kelompokkan memori berdasarkan konteks (meeting, project, klien). Multiple agent baca/tulis ke room yang sama dengan atribusi author. Cross-agent recall tanpa sync manual. | | ⏳ **Time-travel** | Recall memori seperti adanya di titik waktu manapun. `uteke recall "deploy" --at 2025-01-15` | | 🏷️ **Metadata Kaya** | Tag, entity, kategori, key:value di setiap memori. | @@ -210,7 +210,7 @@ uteke recall "caching decision" --room engineering | 🔥 **Tiered Memory** | Tracking Hot/Warm/Cold dengan auto-cleanup memori basi. | | 🔄 **Embed Fallback** | Degrade ke no-op embedder kalau local model gagal (nggak pernah crash). | | 👥 **Namespace Multi-Agent** | Memori terisolasi penuh per agent, tanpa overhead. | -| 📊 **Benchmark** | `uteke bench` untuk perf testing. [Lihat hasil](docs/BENCHMARKS.md). | +| 📊 **Benchmark** | `uteke bench` untuk perf testing. [Lihat hasil](docs/benchmarks.md). |
🔌 Konfigurasi MCP Server — connect ke Claude Code, Cursor, Hermes @@ -299,7 +299,7 @@ Bisa. Uteke punya MCP server yang langsung pakai dengan Claude Code, Cursor, dan
Sudah production-ready? -Uteke sekarang v0.14.3 dengan 530+ test, CI/CD di setiap commit, dan benchmark harness. Dipakai production oleh tim CodeCora dan early adopter lain. Masih di versi 0.x — mungkin ada rough edges, tapi core-nya udah stabil. +Uteke sekarang v0.16.0 dengan 200+ test, CI/CD di setiap commit, dan benchmark harness. Dipakai production oleh tim CodeCora dan early adopter lain. Masih di versi 0.x — mungkin ada rough edges, tapi core-nya udah stabil.
--- @@ -308,7 +308,7 @@ Uteke sekarang v0.14.3 dengan 530+ test, CI/CD di setiap commit, dan benchmark h ```bash cargo build --workspace # Build -cargo test --workspace # Test (530+ test) +cargo test --workspace # Test (200+ test) cargo clippy -- -D warnings # Lint cargo fmt # Format ``` diff --git a/README.md b/README.md index 875d9846..48d2b4e6 100644 --- a/README.md +++ b/README.md @@ -114,7 +114,7 @@ Every AI tool forgets. Context windows fill up, sessions end, and your AI starts | **Setup** | One binary (`curl \| sh`) | pip install + venv | pip + Docker + Qdrant | npm + iii-engine | npm (Node.js) | pip + Docker + Neo4j | Cloud or local binary | One binary | | **API keys** | ❌ None | ⚠️ For remote embeddings | ✅ OpenAI/LLM | ✅ LLM key | ✅ LLM key | ✅ LLM key | ⚠️ Cloud only | ❌ None | | **Works offline** | ✅ Fully | ⚠️ Optional | ❌ Cloud embedding | ❌ Needs LLM | ❌ Needs LLM | ❌ Needs LLM + vector DB | ✅ Local binary + Ollama | ✅ Fully | -| **Search** | **Hybrid** (Vector + FTS5 + RRF) | sqlite-vec + FTS5 | Vector + Graph | Vector + Graph | Vector | Hybrid (semantic + keyword + graph) | Vector + rerank | **FTS5 only** | +| **Search** | **Fusion** (weighted RRF of vector + hybrid; hybrid = HNSW + FTS5 RRF) | sqlite-vec + FTS5 | Vector + Graph | Vector + Graph | Vector | Hybrid (semantic + keyword + graph) | Vector + rerank | **FTS5 only** | | **Recall speed** | ~45ms | ~50ms+ | Network round-trip | Network round-trip | Network round-trip | Network round-trip | Network round-trip | ~Fast (local) | | **Multi-agent** | ✅ **Rooms** (shared memory, cross-agent recall, author attribution) | ✅ Multi-agent surface | ❌ | ✅ Shared server | ✅ Multi-agent groups | ❌ | ❌ | ⚠️ Shared via MCP | | **Time-travel** | ✅ Native point-in-time | ⚠️ Temporal triples | ❌ | ❌ | ❌ | ✅ Temporal graphs | ❌ | ❌ | @@ -142,9 +142,9 @@ Every AI tool forgets. Context windows fill up, sessions end, and your AI starts | **Recall latency (10K memories)** | **42ms** P50, 50ms P95 | Flat from 100 to 10K memories (HNSW O(log N)) | | **Insert throughput** | 6-22 ops/s | CPU-bound (ONNX embedding inference) | | **Storage per memory** | ~10KB | SQLite + HNSW, scales linearly | -| **LongMemEval Recall@5** | **0.958** | 12-question diverse sample, EmbeddingGemma Q4 | +| **LongMemEval Recall@5** | **0.946** | Full 500Q validation, zero-config fusion default (R@10 0.977), EmbeddingGemma Q4 | -Full benchmarks: `uteke bench --counts 100,1000,10000 --json` · [Benchmark details](docs/benchmarks.md) · [LongMemEval results](benchmarks/longmemeval/RESULTS.md) +Full benchmarks: `uteke bench --counts 100,1000,10000 --json` · [Benchmark details](docs/benchmarks.md) · [LongMemEval results](benchmarks/longmemeval/RESULTS.md) — fusion default: R@5 0.946 / R@10 0.977 on the full 500Q validation set (v0.16.0)
@@ -201,7 +201,7 @@ uteke recall "caching decision" --room engineering | Feature | What it does | |---------|-------------| -| 🧠 **Hybrid Search** | Vector similarity + FTS5 full-text search, merged by Reciprocal Rank Fusion (RRF). Finds by meaning AND exact keywords. | +| 🧠 **Hybrid + Fusion Search** | Vector similarity + FTS5 full-text search, merged by Reciprocal Rank Fusion (RRF). Since v0.16.0, `fusion` — a weighted RRF of the vector and hybrid rankings — is the default recall strategy. Finds by meaning AND exact keywords. | | 🏠 **Rooms** | **Multi-agent shared memory.** Group memories by context (meetings, projects, clients). Multiple agents read/write to the same room with author attribution. Cross-agent recall without manual sync. | | ⏳ **Time-travel** | Recall memories as they existed at any point in time. `uteke recall "deploy" --at 2025-01-15` | | 🏷️ **Rich Metadata** | Tags, entities, categories, key:value pairs on every memory. | @@ -220,6 +220,7 @@ uteke recall "caching decision" --room engineering | 📈 **Salience + Recency** | Dual-axis recall boost by memory type and age. | | 🔍 **Orphan Detection** | Find disconnected, low-importance memories for cleanup. | | 🌙 **Dream Cycle** | One-command maintenance: lint → backlinks → dedup → orphans. | +| 🧬 **Consolidation** | Merge near-duplicate room memories into fewer, denser records — segment-level planner, provenance trust policy, per-pair control. (0.16.0) | ### Integrations @@ -231,6 +232,7 @@ uteke recall "caching decision" --room engineering | 📝 **Document Engine** | Wiki/knowledge base with `uteke doc create/get/list` and auto-chunking. | | 📥 **Import/Export** | JSONL-based backup and restore. | | 🔑 **View-Only API Keys** | Read-only tokens for safe GET-only access to the server. | +| 👤 **Author Types** | `human` vs `agent` attribution on every memory, across CLI, HTTP, and MCP. (0.16.0) | ### Performance & Privacy @@ -243,7 +245,7 @@ uteke recall "caching decision" --room engineering | 🔥 **Tiered Memory** | Hot/Warm/Cold tracking with auto-cleanup of stale memories. | | 🔄 **Embed Fallback** | Gracefully degrades to no-op embedder if local model fails (never crashes). | | 👥 **Multi-Agent Namespaces** | Fully isolated memory per agent, zero overhead. | -| 📊 **Benchmarks** | Built-in `uteke bench` for perf testing. [See results](docs/BENCHMARKS.md). | +| 📊 **Benchmarks** | Built-in `uteke bench` for perf testing. [See results](docs/benchmarks.md). |
🔌 MCP Server config: connect to Claude Code, Cursor, Hermes @@ -376,7 +378,7 @@ Yes. Uteke ships with an MCP server that works with Claude Code, Cursor, and Her
Is it production-ready? -Uteke is at v0.14.3 with 530+ tests, CI/CD on every commit, and benchmark harness. It's used in production by the CodeCora team and other early adopters. Still in 0.x, so expect rough edges, but the core is stable. +Uteke is at v0.16.0 with 200+ tests, CI/CD on every commit, and a benchmark harness. It's used in production by the CodeCora team and other early adopters. Still in 0.x, so expect rough edges, but the core is stable.
--- @@ -385,7 +387,7 @@ Uteke is at v0.14.3 with 530+ tests, CI/CD on every commit, and benchmark harnes ```bash cargo build --workspace # Build -cargo test --workspace # Test (530+ tests) +cargo test --workspace # Test (200+ tests) cargo clippy -- -D warnings # Lint cargo fmt # Format ``` diff --git a/crates/uteke-cli/assets/uteke-memory-skill.md b/crates/uteke-cli/assets/uteke-memory-skill.md index b05d462a..5d8356f0 100644 --- a/crates/uteke-cli/assets/uteke-memory-skill.md +++ b/crates/uteke-cli/assets/uteke-memory-skill.md @@ -1,11 +1,11 @@ --- -description: "Persistent memory engine for AI agents via the uteke CLI — remember, recall, search, forget with semantic + FTS5 hybrid search, documents, knowledge graph, rooms, tiered memory, and multi-agent namespaces." +description: "Persistent memory engine for AI agents via the uteke CLI — remember, recall, search, forget with hybrid + fusion semantic search (fusion default since 0.16.0), documents, knowledge graph, rooms, tiered memory, and multi-agent namespaces." --- # Uteke Memory Skill Persistent memory engine for AI agents via the `uteke` CLI. -Version: **0.10.0** — SQLite + usearch HNSW + FTS5 hybrid search (RRF k=60). Zero unsafe code. +Version: **0.16.0** — SQLite + usearch HNSW + FTS5 hybrid search (RRF k=60); `fusion` (weighted RRF of the vector and hybrid rankings) is the default recall strategy since 0.16.0. Zero unsafe code. > **Hermes integration:** Install the `uteke-memory` plugin for automatic recall > on every turn via the `pre_llm_call` hook. No shell hook or daemon needed. @@ -29,7 +29,7 @@ Version: **0.10.0** — SQLite + usearch HNSW + FTS5 hybrid search (RRF k=60). Z | Command | Description | Key Options | |---------|-------------|-------------| | `uteke remember ` | Store a new memory | `--tags`, `--type`, `--entity`, `--category`, `--meta`, `--room`, `--author`, `--source`, `--source-type`, `--detect-contradiction` | -| `uteke recall ` | Hybrid search (vector + FTS5, RRF) | `--limit`, `--tags`, `--entity`, `--category`, `--min`, `--strategy` (vector/fts5/hybrid/graph), `--salience`, `--recency`, `--related`, `--depth`, `--context`, `--at` (time-travel), `--type` (all/memory/doc), `--where` (JSON field filter) | +| `uteke recall ` | Fusion search (default since 0.16.0 — weighted RRF of vector + hybrid rankings) | `--limit`, `--tags`, `--entity`, `--category`, `--min`, `--strategy` (fusion/vector/fts5/hybrid/graph), `--salience`, `--recency`, `--related`, `--depth`, `--context`, `--at` (time-travel), `--type` (all/memory/doc), `--where` (JSON field filter) | | `uteke search ` | Keyword text search | `--limit`, `--tags` | | `uteke list` | List memories with filters | `--tag`, `--entity`, `--category`, `--limit`, `--offset`, `--at` | | `uteke get ` | Get single memory by UUID | | @@ -94,7 +94,8 @@ Version: **0.10.0** — SQLite + usearch HNSW + FTS5 hybrid search (RRF k=60). Z | Command | Description | Key Options | |---------|-------------|-------------| -| `uteke dream` | Full maintenance pipeline: lint → backlinks → dedup → orphans → compact → verify | `--phases`, `--skip`, `--dry-run`, `--quiet` | +| `uteke dream` | Full maintenance pipeline: lint → backlinks → dedup → orphans → compact → verify (dry-run first by default) | `--phases`, `--skip`, `--dry-run`, `--quiet` | +| `uteke lifecycle ` | Safe lifecycle: soft-deprecate aged memories, promote back, status | `--namespace` | | `uteke consolidate` | Merge near-duplicate memories | `--threshold` (default 0.90), `--dry-run` | | `uteke prune` | Remove deprecated/expired memories | `--ttl` (default 30), `--dry-run` | | `uteke timeline ` | Show audit log events for a memory | `--limit` (default 20) | @@ -139,12 +140,14 @@ Version: **0.10.0** — SQLite + usearch HNSW + FTS5 hybrid search (RRF k=60). Z | `uteke hook install ` | Install shell hook (bash/zsh/fish) | | `uteke completions ` | Generate shell completions (bash/zsh/fish/powershell) | | `uteke upgrade` | Check for updates and upgrade | `-y` (skip confirmation) | +| `uteke onboard` | Interactive setup wizard: detect install, pick agent, toggle features, write config | `--yes --agent ` | ## Architecture - **Storage:** SQLite (WAL mode) with namespace column + FTS5 virtual table - **Vector index:** usearch persistent HNSW (768d, cosine similarity) - **Hybrid search:** RRF (k=60) merges vector + FTS5 results; graph strategy adds graph-signal reranking +- **Fusion (default since 0.16.0):** weighted RRF of the vector and hybrid rankings — LongMemEval 500Q R@5 0.946 - **Embedding:** ONNX EmbeddingGemma Q4 (768d), auto-downloaded - **Tiered memory:** Hot (<7d, +0.1 boost), Warm (<30d), Cold (>30d) - **Schema versioning:** Integer counter, auto-migration on upgrade diff --git a/docs/architecture.md b/docs/architecture.md index 4926cf02..4feb0b96 100644 --- a/docs/architecture.md +++ b/docs/architecture.md @@ -47,6 +47,7 @@ title: Architecture | Vector Index | usearch + RwLock | Persistent HNSW, concurrent reads via RwLock | | Full-Text Search | SQLite FTS5 | Built-in, auto-created, phrase + token-OR fallback | | Hybrid Search | RRF (k=60) | Merges vector + FTS5 via Reciprocal Rank Fusion | +| Fusion (default) | weighted RRF | Since 0.16.0: fuses the vector and hybrid rankings (#1123) | | Storage | SQLite (rusqlite) | Embedded, zero-config, battle-tested | | Embedding | EmbeddingGemma Q4 ONNX | 768d vectors, multilingual, downloaded on first run | | Namespaces | SQLite column | Multi-agent isolation, zero overhead | diff --git a/docs/benchmarks.md b/docs/benchmarks.md index 6af66a29..7a7bf55e 100644 --- a/docs/benchmarks.md +++ b/docs/benchmarks.md @@ -114,7 +114,7 @@ the same data. published benchmark documents (accessed Aug 2026) and differ in embedding models and pipeline details. - The FTS5-only bar is an ablation of our own system, not a competitor. -- Raw per-question results for the uteke run: `benchmarks/longmemeval/results_modal_default/` in this repo. +- Aggregate metrics + per-type breakdown: `benchmarks/longmemeval/RESULTS.md` in this repo. Raw per-question results are kept on the benchmark Modal volume (`uteke-longmemeval`, `default/` prefix), not committed here. ## Environment diff --git a/docs/cli-reference.md b/docs/cli-reference.md index 6c9a8f89..6bb66a3b 100644 --- a/docs/cli-reference.md +++ b/docs/cli-reference.md @@ -108,7 +108,7 @@ uteke remember "User prefers dark mode" --tags pref --namespace my-agent ## uteke recall -Unified search combining vector similarity with FTS5 full-text search, ranked by Reciprocal Rank Fusion (RRF). Searches **both memories and documents** by default (unified mode). Hot memories (accessed within 7 days) get a score boost. +Unified search combining vector similarity with FTS5 full-text search, ranked by Reciprocal Rank Fusion (RRF). Default strategy since v0.16.0: **fusion** — a weighted RRF of the vector and hybrid rankings. Searches **both memories and documents** by default (unified mode). Hot memories (accessed within 7 days) get a score boost. ```bash uteke recall "What framework does the API use?" @@ -309,8 +309,9 @@ uteke recall "deployment process" --at 2026-06-01T12:00:00Z # Relationship graph traversal uteke recall "auth" --related --depth 2 -# Recall strategy (vector | fts5 | hybrid | graph) -uteke recall "auth" --strategy hybrid # default — vector + FTS5 (RRF fusion) +# Recall strategy (fusion | vector | fts5 | hybrid | graph) +uteke recall "auth" --strategy fusion # default since 0.16.0 — weighted RRF of vector + hybrid rankings +uteke recall "auth" --strategy hybrid # vector + FTS5 fused via RRF (k=60) uteke recall "auth" --strategy vector # vector similarity only uteke recall "auth" --strategy fts5 # full-text search only uteke recall "auth" --strategy graph # hybrid + graph-signal reranking (#378) diff --git a/docs/configuration.md b/docs/configuration.md index 76a6b685..f8ee60ae 100644 --- a/docs/configuration.md +++ b/docs/configuration.md @@ -196,10 +196,12 @@ min_score = 0.3 min_score_strict = 0.5 # Default recall strategy for `uteke recall` when --strategy is not given. -# One of: vector | fts5 | hybrid | graph. +# One of: fusion | vector | fts5 | hybrid | graph. +# fusion — weighted RRF of the vector and hybrid rankings (default since 0.16.0; +# LongMemEval 500Q R@5 0.946 vs 0.854 hybrid, #1123) # vector — vector similarity only (original behavior) # fts5 — full-text search only -# hybrid — vector + FTS5 fused via Reciprocal Rank Fusion (default) +# hybrid — vector + FTS5 fused via Reciprocal Rank Fusion (k=60) # graph — hybrid + graph-signal reranking (#378): well-connected memories # get a subtle log-scaled score boost default_strategy = "fusion" diff --git a/docs/getting-started.md b/docs/getting-started.md index bd3cca0a..7d8436d8 100644 --- a/docs/getting-started.md +++ b/docs/getting-started.md @@ -49,7 +49,7 @@ The wizard covers: uteke remember --tags project "My app uses SvelteKit 5 with Tailwind" \ --entity my-app --category frontend -# Hybrid search (vector + FTS5, ranked by RRF) +# Fusion recall — weighted RRF of vector + hybrid rankings (default since 0.16.0) uteke recall "What frontend framework do I use?" # Filter by entity or category diff --git a/docs/index.md b/docs/index.md index 1fdd87c7..af5433bc 100644 --- a/docs/index.md +++ b/docs/index.md @@ -19,7 +19,7 @@ hero: features: - icon: 🧠 title: Semantic Memory - details: AI remembers by meaning, not keywords. Local ONNX embeddings (768d) with usearch persistent HNSW index. Hybrid search via FTS5 + RRF. + details: AI remembers by meaning, not keywords. Local ONNX embeddings (768d) with usearch persistent HNSW index. Hybrid search (FTS5 + RRF) with fusion as the default strategy since 0.16.0. - icon: 📦 title: Single Binary details: Zero dependencies. No Docker, no database server, no Python, no API keys. diff --git a/docs/install.md b/docs/install.md index d3b628e1..28a71d8d 100644 --- a/docs/install.md +++ b/docs/install.md @@ -21,7 +21,7 @@ echo 'export PATH="$HOME/.local/bin:$PATH"' >> ~/.bashrc Pin a specific version: ```bash -UTEKE_VERSION=v0.14.3 curl -fsSL https://raw.githubusercontent.com/codecoradev/uteke/main/install.sh | sh +UTEKE_VERSION=v0.16.0 curl -fsSL https://raw.githubusercontent.com/codecoradev/uteke/main/install.sh | sh ``` ## Install via Cargo @@ -40,19 +40,19 @@ Download from [GitHub Releases](https://github.com/codecoradev/uteke/releases): ```bash # Linux (x86_64) -curl -sL https://github.com/codecoradev/uteke/releases/latest/download/uteke-x86_64-unknown-linux-gnu-v0.14.3.tar.gz | tar xz +curl -sL https://github.com/codecoradev/uteke/releases/latest/download/uteke-x86_64-unknown-linux-gnu-v0.16.0.tar.gz | tar xz mv uteke ~/.local/bin/ # Linux (x86_64, legacy — no AVX2/SSE4.2) -curl -sL https://github.com/codecoradev/uteke/releases/latest/download/uteke-x86_64-unknown-linux-gnu-legacy-v0.14.3.tar.gz | tar xz +curl -sL https://github.com/codecoradev/uteke/releases/latest/download/uteke-x86_64-unknown-linux-gnu-legacy-v0.16.0.tar.gz | tar xz mv uteke ~/.local/bin/ # Linux (aarch64 / ARM) -curl -sL https://github.com/codecoradev/uteke/releases/latest/download/uteke-aarch64-unknown-linux-gnu-v0.14.3.tar.gz | tar xz +curl -sL https://github.com/codecoradev/uteke/releases/latest/download/uteke-aarch64-unknown-linux-gnu-v0.16.0.tar.gz | tar xz mv uteke ~/.local/bin/ # macOS (Apple Silicon) -curl -sL https://github.com/codecoradev/uteke/releases/latest/download/uteke-aarch64-apple-darwin-v0.14.3.tar.gz | tar xz +curl -sL https://github.com/codecoradev/uteke/releases/latest/download/uteke-aarch64-apple-darwin-v0.16.0.tar.gz | tar xz mv uteke ~/.local/bin/ ``` diff --git a/docs/mcp.md b/docs/mcp.md index 40d09b4c..f93119be 100644 --- a/docs/mcp.md +++ b/docs/mcp.md @@ -137,7 +137,7 @@ Both transports expose the same 35 tools (MCP protocol version `2025-06-18`): | Tool | Description | |------|-------------| | `uteke_remember` | Store a memory (supports type, room, author, tags) | -| `uteke_recall` | Semantic search (supports tags filter, min_score, strategy: hybrid/vector/fts5/graph — default hybrid) | +| `uteke_recall` | Semantic search (supports tags filter, min_score, strategy: fusion/vector/fts5/hybrid/graph — default `fusion` since 0.16.0) | | `uteke_search` | Text search with optional tag filter | | `uteke_list` | List memories (supports pagination via offset) | | `uteke_get` | Fetch a single memory's full record by id — no truncation (accepts UUID or unambiguous prefix) | diff --git a/docs/mutation-testing.md b/docs/mutation-testing.md index 381f009f..4b162531 100644 --- a/docs/mutation-testing.md +++ b/docs/mutation-testing.md @@ -99,4 +99,4 @@ Some mutants produce identical behavior regardless of tests. These are documente 5 chunker mutants cause **infinite loops** (progress guard mutations) — the test binary hangs and cargo-mutants reports TIMEOUT. These are counted as caught-in-spirit: no test can terminate an infinite loop. -Last updated: v0.14.1 +Last updated: v0.16.0 diff --git a/docs/roadmap.md b/docs/roadmap.md index 559fa625..29babdf2 100644 --- a/docs/roadmap.md +++ b/docs/roadmap.md @@ -6,6 +6,22 @@ title: Roadmap Demand-gated — we build what people actually use. Track progress on [GitHub Issues](https://github.com/codecoradev/uteke/issues). +## v0.16.0 — Fusion Default `✓ Released 2026-08-29` + +- **`fusion` is now the default recall strategy (#1123)** — weighted RRF of the vector and hybrid rankings; LongMemEval 500Q R@5 0.946 vs 0.854 hybrid (+9.2 pts), zero config needed +- Public benchmark page: dual-metric view (recall_any + strict recall_all) with comparison chart (#1141) +- Full-release validation: 500Q pure-default run, binary built from the exact release SHA +- Post-release fixes: `repair --reembed` handles NULL-embedding rows (#1146), CLA check bot allowlist (#1132), repair report reflects final index state (#1149) + +## v0.15.0 — Trust Across Surfaces, Portable Store `✓ Released 2026-08-19` + +- **Supersession workflow (#1069)** — mark a stale decision as superseded by a newer one; recall flags superseded entries +- **Structural export/import (#1068)** — full-store round-trip (rooms, graph, edges, documents, timeline) without loss +- UUIDv7 IDs for new memories — time-ordered at the front +- MCP `uteke_get` + `uteke_update` (#1067), richer MCP outputs (#1066) +- `uteke_dream` runs dry-run first — destructive passes need explicit confirmation (#1065) +- `/export` keeps namespace attribution (#1064); recall cache score parity (#1063) + ## v0.14.0–v0.14.3 — Hybrid Default, Scene Extraction, Surface Parity `✓ Released 2026-08-14–15` - **Hybrid (RRF) is now the default recall strategy (#1005)** — recall@5 85.4% → 98.0%; revert via `strategy = "vector"` in `[recall]`