fix: Readme ref links are fixed

CONTRIBUTING.md

@@ -8,7 +8,7 @@ Apache-2.0. Every contribution is covered by it.
 
 ## Before opening an issue
 
-Search [open issues](https://github.com/Yash030/agentmemory-python/issues?q=is%3Aopen) and [closed issues](https://github.com/Yash030/agentmemory-python/issues?q=is%3Aclosed) first.
+Search [open issues](https://github.com/Yashwant00CR7/agentcache/issues?q=is%3Aopen) and [closed issues](https://github.com/Yashwant00CR7/agentcache/issues?q=is%3Aclosed) first.
 
 **Bug reports** — include:
 - Python version (`python --version`)

INSTALL_FOR_AGENTS.md

@@ -17,8 +17,8 @@ Default mode works with no API key. It runs BM25 keyword search out of the box.
 ## 1. Clone the repo
 
 ```bash
-git clone https://github.com/Yash030/agentcache-python.git
-cd agentcache-python
+git clone https://github.com/Yashwant00CR7/agentcache.git
+cd agentcache
 ```
 
 Expect: the directory exists with `src/app.py` inside.

README.md

@@ -14,18 +14,6 @@ pinned: false
   Works with Claude Code, Cursor, Cline, Windsurf, Gemini CLI, and any MCP client.
 </p>
 
-<p align="center">
-  <a href="README.md">English</a> |
-  <a href="READMEs/README.zh-CN.md">简体中文</a> |
-  <a href="READMEs/README.ja-JP.md">日本語</a> |
-  <a href="READMEs/README.ko-KR.md">한국어</a> |
-  <a href="READMEs/README.es-ES.md">Español</a> |
-  <a href="READMEs/README.hi-IN.md">हिन्दी</a> |
-  <a href="READMEs/README.pt-BR.md">Português</a> |
-  <a href="READMEs/README.fr-FR.md">Français</a> |
-  <a href="READMEs/README.de-DE.md">Deutsch</a>
-</p>
-
 <p align="center">
   <img src="https://img.shields.io/badge/Python-3.10%2B-3776AB?style=for-the-badge&logo=python&logoColor=white" alt="Python 3.10+" />
   <img src="https://img.shields.io/badge/SQLite-WAL-003B57?style=for-the-badge&logo=sqlite&logoColor=white" alt="SQLite WAL" />
@@ -68,8 +56,8 @@ Your agent captures every tool call, stores them as observations, compresses the
 
 ```bash
 # Clone
-git clone https://github.com/Yash030/agentcache-python.git
-cd agentcache-python
+git clone https://github.com/Yashwant00CR7/agentcache.git
+cd agentcache
 
 # Install dependencies (no build step)
 pip install -r requirements.txt

agentcache.egg-info/PKG-INFO

@@ -0,0 +1,515 @@
+Metadata-Version: 2.4
+Name: agentcache
+Version: 0.9.8
+Summary: A Python REST + WebSocket + MCP cache server for AI agents, backed by SQLite
+License: MIT
+Requires-Python: >=3.10
+Description-Content-Type: text/markdown
+License-File: LICENSE
+Requires-Dist: flask>=3.0.0
+Requires-Dist: flask-sock>=0.7.0
+Requires-Dist: requests>=2.31.0
+Requires-Dist: python-dateutil>=2.8.2
+Requires-Dist: huggingface_hub>=0.20.0
+Requires-Dist: websockets>=12.0
+Provides-Extra: dev
+Requires-Dist: pytest>=8.0.0; extra == "dev"
+Requires-Dist: hypothesis>=6.100.0; extra == "dev"
+Provides-Extra: local-embeddings
+Requires-Dist: sentence-transformers>=2.7.0; extra == "local-embeddings"
+Dynamic: license-file
+
+---
+title: AgentCache Python
+emoji: 🧠
+colorFrom: blue
+colorTo: indigo
+sdk: docker
+pinned: false
+---
+
+<h1 align="center">agentcache-python</h1>
+
+<p align="center">
+  <strong>Persistent memory for AI coding agents — pure Python, zero external databases.</strong><br/>
+  Works with Claude Code, Cursor, Cline, Windsurf, Gemini CLI, and any MCP client.
+</p>
+
+<p align="center">
+  <a href="README.md">English</a> |
+  <a href="READMEs/README.zh-CN.md">简体中文</a> |
+  <a href="READMEs/README.ja-JP.md">日本語</a> |
+  <a href="READMEs/README.ko-KR.md">한국어</a> |
+  <a href="READMEs/README.es-ES.md">Español</a> |
+  <a href="READMEs/README.hi-IN.md">हिन्दी</a> |
+  <a href="READMEs/README.pt-BR.md">Português</a> |
+  <a href="READMEs/README.fr-FR.md">Français</a> |
+  <a href="READMEs/README.de-DE.md">Deutsch</a>
+</p>
+
+<p align="center">
+  <img src="https://img.shields.io/badge/Python-3.10%2B-3776AB?style=for-the-badge&logo=python&logoColor=white" alt="Python 3.10+" />
+  <img src="https://img.shields.io/badge/SQLite-WAL-003B57?style=for-the-badge&logo=sqlite&logoColor=white" alt="SQLite WAL" />
+  <img src="https://img.shields.io/badge/Flask-3.0-000000?style=for-the-badge&logo=flask&logoColor=white" alt="Flask 3.0" />
+  <img src="https://img.shields.io/badge/MCP-Compatible-6B21A8?style=for-the-badge" alt="MCP Compatible" />
+  <img src="https://img.shields.io/badge/HuggingFace-Space-FF9D00?style=for-the-badge&logo=huggingface&logoColor=white" alt="HuggingFace Space" />
+</p>
+
+<p align="center">
+  <a href="#quick-start">Quick Start</a> &bull;
+  <a href="#features">Features</a> &bull;
+  <a href="#mcp-integration">MCP</a> &bull;
+  <a href="#api-reference">API</a> &bull;
+  <a href="#configuration">Config</a> &bull;
+  <a href="#deploy-to-huggingface">Deploy</a> &bull;
+  <a href="#viewer">Viewer</a> &bull;
+  <a href="#architecture">Architecture</a>
+</p>
+
+---
+
+## What Is This?
+
+**agentcache-python** is a Python reimplementation of the [agentcache](https://github.com/rohitg00/agentcache) persistent memory server. It exposes a REST API, WebSocket stream, and MCP tools endpoint that AI coding agents use to store and retrieve session observations, long-term memories, lessons, and pinned memory slots.
+
+Key differences from the Node.js original:
+
+- **No Node.js or iii-engine** — runs with plain `python src/app.py`
+- **SQLite instead of Dolt** — single file, WAL mode, instant startup
+- **HuggingFace Space ready** — deploys in one click, data synced to an HF dataset repo
+- **Same REST + MCP wire format** — drop-in for any agent already wired to agentcache
+
+Your agent captures every tool call, stores them as observations, compresses them into searchable memory, and injects the right context at the start of every new session — automatically.
+
+---
+
+## Quick Start
+
+### Run locally
+
+```bash
+# Clone
+git clone https://github.com/Yash030/agentcache-python.git
+cd agentcache-python
+
+# Install dependencies (no build step)
+pip install -r requirements.txt
+
+# Start the server
+python src/app.py
+```
+
+Server starts on **http://localhost:3111**. Open the viewer at http://localhost:3111/viewer.
+
+### Verify it works
+
+```bash
+# Health check
+curl http://localhost:3111/agentcache/livez
+# {"status": "ok"}
+
+# Save a memory
+curl -X POST http://localhost:3111/agentcache/remember \
+  -H "Content-Type: application/json" \
+  -d '{"content": "JWT auth uses jose middleware in src/middleware/auth.ts", "concepts": ["auth", "jwt"]}'
+
+# Recall it
+curl -X POST http://localhost:3111/agentcache/search \
+  -H "Content-Type: application/json" \
+  -d '{"query": "authentication middleware", "limit": 5}'
+```
+
+---
+
+## Features
+
+| Feature | Status | Notes |
+|---------|--------|-------|
+| REST API — sessions, memories, observations | ✅ | Full surface |
+| WebSocket live stream | ✅ | `/stream/mem-live/viewer` |
+| MCP tools endpoint | ✅ | 31 tools |
+| Built-in HTML viewer | ✅ | Real-time dashboard at `/viewer` |
+| BM25 keyword search | ✅ | Always on, no API key needed |
+| Hybrid BM25 + vector search | ✅ | Requires `GEMINI_API_KEY` |
+| 4-tier memory consolidation | ⚙️ | `CONSOLIDATION_ENABLED=true` + LLM key |
+| Knowledge graph extraction | ⚙️ | `GRAPH_EXTRACTION_ENABLED=true` + LLM key |
+| LLM observation compression | ⚙️ | `AGENTCACHE_AUTO_COMPRESS=true` + LLM key |
+| Lessons with confidence decay | ✅ | Fingerprinted, auto-strengthen on repeat |
+| Memory slots (pinned context) | ✅ | CRUD + auto-reflect |
+| Session replay | ✅ | Full timeline in viewer |
+| Audit log | ✅ | Tracks every write with agent_id + timestamp |
+| HuggingFace Space deploy | ✅ | One-click, data synced to dataset repo |
+| Privacy filtering | ✅ | Strips API keys, tokens before storage |
+
+### 4-Tier Memory Model
+
+Inspired by how human memory works — raw experience → compressed episodes → extracted facts → learned patterns.
+
+| Tier | What | When |
+|------|------|------|
+| **Working** | Raw observations from tool use | Every tool call |
+| **Episodic** | Compressed session summaries | Session end |
+| **Semantic** | Extracted facts and patterns | Consolidation |
+| **Procedural** | Workflows and decision patterns | Consolidation |
+
+---
+
+## MCP Integration
+
+Wire agentcache-python into your agent's MCP config. It speaks the same MCP protocol as the Node.js original.
+
+### Most agents (Cursor, Claude Desktop, Cline, Windsurf)
+
+```json
+{
+  "mcpServers": {
+    "agentcache": {
+      "command": "npx",
+      "args": ["-y", "@agentcache/mcp"],
+      "env": {
+        "AGENTCACHE_URL": "http://localhost:3111"
+      }
+    }
+  }
+}
+```
+
+### Claude Code
+
+Paste this prompt and your agent will wire everything:
+
+```
+Start agentcache-python: run `python src/app.py` from the agentcache-python directory.
+Then add this MCP server to ~/.claude.json under mcpServers:
+{
+  "agentcache": {
+    "command": "npx",
+    "args": ["-y", "@agentcache/mcp"],
+    "env": { "AGENTCACHE_URL": "http://localhost:3111" }
+  }
+}
+Verify with: curl http://localhost:3111/agentcache/livez
+Open the viewer at: http://localhost:3111/viewer
+```
+
+### Available MCP Tools (31)
+
+| Tool | Description |
+|------|-------------|
+| `memory_save` | Save a long-term insight, decision, or pattern |
+| `memory_recall` | Search past observations by keyword |
+| `memory_smart_search` | Hybrid BM25 + vector semantic search |
+| `memory_sessions` | List recent sessions |
+| `memory_sessions_list` | Retrieve all memory sessions |
+| `memory_timeline` | Chronological observations for a session |
+| `memory_observations` | Observations for a session |
+| `memory_profile` | Per-project concept + file profile |
+| `memory_lessons` | List active lessons with confidence scores |
+| `memory_lesson_save` | Save a lesson (duplicate saves strengthen it) |
+| `memory_lesson_recall` | Search lessons by query |
+| `memory_lesson_search` | Search lessons by keywords |
+| `memory_consolidate` | Run 4-tier memory consolidation |
+| `memory_reflect` | Reflect on session, update context |
+| `memory_diagnose` | Health check across all subsystems |
+| `memory_forget` | Delete memory, session, or observations |
+| `memory_export` | Export all memory data as JSON |
+| `agent_observe` | Log agent execution observation |
+| `agent_remember` | Save agent cache to long-term storage |
+| `memory_antigravity_sync` | Sync Antigravity transcripts to memory |
+| `memory_antigravity_sync_all` | Master sync: transcript + crystallize + reflect |
+| `memory_slot_list` | List all pinned memory slots |
+| `memory_slot_get` | Retrieve a specific pinned memory slot |
+| `memory_slot_create` | Create/overwrite a pinned memory slot |
+| `memory_slot_append` | Append text content to a pinned memory slot |
+| `memory_slot_replace` | Replace pinned memory slot content |
+| `memory_slot_delete` | Delete a pinned memory slot |
+| `memory_action_create` | Create a new work item / action |
+| `memory_action_update` | Update fields of an existing action |
+| `memory_frontier` | Get active and pending actions sorted by priority |
+| `memory_crystallize` | Crystallize/summarize observations in a session |
+
+---
+
+## API Reference
+
+Base URL: `http://localhost:3111/agentcache`
+
+### Health
+
+| Method | Path | Description |
+|--------|------|-------------|
+| `GET` | `/livez` | Liveness probe — no auth required |
+
+### Sessions
+
+| Method | Path | Description |
+|--------|------|-------------|
+| `POST` | `/session/start` | Start a new session |
+| `POST` | `/session/end` | End a session |
+| `POST` | `/session/commit` | Commit session with summary |
+| `GET` | `/sessions` | List all sessions |
+
+### Observations
+
+| Method | Path | Description |
+|--------|------|-------------|
+| `POST` | `/observe` | Ingest a hook event observation |
+| `POST` | `/agent/observe` | Simplified observe for direct agent use |
+| `GET` | `/observations` | List observations (`?session_id=`) |
+| `POST` | `/timeline` | Chronological observation window |
+
+### Memories
+
+| Method | Path | Description |
+|--------|------|-------------|
+| `POST` | `/remember` | Save long-term memory |
+| `POST` | `/agent/remember` | Simplified remember |
+| `POST` | `/forget` | Delete memory / session / observations |
+| `POST` | `/search` | BM25 + vector search |
+| `POST` | `/context` | Compile context for a session + project |
+| `GET` | `/memories` | List memories (`?latest=true&limit=N`) |
+| `POST` | `/evolve` | Create a new memory version |
+
+### Lessons
+
+| Method | Path | Description |
+|--------|------|-------------|
+| `GET` | `/lessons` | List lessons |
+| `POST` | `/lessons` | Create lesson |
+| `POST` | `/lessons/search` | Search lessons |
+| `POST` | `/lessons/strengthen` | Reinforce an existing lesson |
+
+### Slots
+
+| Method | Path | Description |
+|--------|------|-------------|
+| `GET` | `/slots` | List all pinned slots |
+| `POST` | `/slot` | Create or update a slot |
+| `GET` | `/slot` | Get slot by name |
+| `DELETE` | `/slot` | Delete a slot |
+| `POST` | `/slot/reflect` | Auto-populate from session observations |
+
+### Graph + Profile
+
+| Method | Path | Description |
+|--------|------|-------------|
+| `GET` | `/relations` | Knowledge graph edges |
+| `POST` | `/relations` | Add a relation |
+| `GET` | `/profile` | Project profile (top concepts, files) |
+
+### Actions
+
+| Method | Path | Description |
+|--------|------|-------------|
+| `GET` | `/actions` | List actions |
+| `POST` | `/actions` | Create an action |
+| `PATCH` | `/actions/<id>` | Update action status / fields |
+| `GET` | `/frontier` | Pending actions sorted by priority |
+| `GET` | `/insights` | List insights |
+
+### Replay
+
+| Method | Path | Description |
+|--------|------|-------------|
+| `GET` | `/replay/sessions` | Sessions list for replay tab |
+| `GET` | `/replay/load` | Full session + observations (`?sessionId=`) |
+
+### MCP
+
+| Method | Path | Description |
+|--------|------|-------------|
+| `GET` | `/mcp/tools` | MCP tool schema list |
+| `POST` | `/mcp/tools` | MCP tool call dispatch |
+
+---
+
+## Configuration
+
+Create `~/.agentcache/.env` (no `export` prefix needed):
+
+```env
+# Server port
+III_REST_PORT=3111
+
+# Vector search — enables Gemini 768-dim embeddings
+GEMINI_API_KEY=your-gemini-key
+
+# LLM for compression / consolidation / graph extraction
+# Any one of these enables LLM features:
+ANTHROPIC_API_KEY=your-anthropic-key
+# OPENAI_API_KEY=your-openai-key
+# GEMINI_API_KEY=your-key   (same key as above works for both)
+
+# LLM-powered features (disabled by default — spend tokens)
+CONSOLIDATION_ENABLED=true
+GRAPH_EXTRACTION_ENABLED=true
+AGENTCACHE_AUTO_COMPRESS=true
+
+# Context injection limits
+TOKEN_BUDGET=2000
+MAX_OBS_PER_SESSION=500
+
+# Auth — set to require Bearer token on all endpoints
+AGENTCACHE_SECRET=your-secret
+
+# Agent scope isolation
+AGENT_ID=my-agent
+AGENTCACHE_AGENT_SCOPE=isolated   # only see this agent's data
+
+# HuggingFace sync
+HF_TOKEN=your-hf-token
+AGENTCACHE_DATASET_REPO=username/agentcache-data
+```
+
+### Full Variable Reference
+
+| Variable | Default | Purpose |
+|----------|---------|---------|
+| `III_REST_PORT` / `PORT` | `3111` | API server port |
+| `GEMINI_API_KEY` / `GOOGLE_API_KEY` | — | Enables 768-dim vector search |
+| `AGENTCACHE_SECRET` | — | Bearer token auth on all endpoints |
+| `AGENT_ID` | — | Default agent ID for scope isolation |
+| `AGENTCACHE_AGENT_SCOPE=isolated` | — | Filters data to current `AGENT_ID` |
+| `MAX_OBS_PER_SESSION` | `500` | Hard cap on observations per session |
+| `TOKEN_BUDGET` | `2000` | Max tokens in compiled context |
+| `GRAPH_EXTRACTION_ENABLED` | `false` | Knowledge graph (needs LLM) |
+| `CONSOLIDATION_ENABLED` | `false` | Memory consolidation (needs LLM) |
+| `AGENTCACHE_AUTO_COMPRESS` | `false` | LLM observation compression |
+
+---
+
+## Viewer
+
+Built-in dashboard at **http://localhost:3111/viewer**.
+
+| Tab | What You See |
+|-----|-------------|
+| **Dashboard** | Session stats, memory counts, recent activity |
+| **Sessions** | Browse sessions, inspect observations |
+| **Memories** | Search, filter, and read long-term memories |
+| **Graph** | Project folder visualization — nodes = folders, edges = shared concepts or parent path |
+| **Timeline** | Per-session chronological observation view |
+| **Lessons** | Confidence-scored lessons with decay tracking |
+| **Slots** | Pinned memory slots editor |
+| **Replay** | Scrub through past sessions frame by frame |
+
+---
+
+## Deploy to HuggingFace
+
+This project is designed to run as a HuggingFace Space. Data is stored in an HF dataset repo and restored on every boot — so no persistent disk is needed.
+
+### Setup
+
+1. Fork this repo as a HuggingFace Space (SDK: Docker)
+2. Create a dataset repo (e.g. `your-username/agentcache-data`)
+3. Add Space secrets in the HF dashboard:
+
+   | Secret | Value |
+   |--------|-------|
+   | `HF_TOKEN` | Your HF write token |
+   | `AGENTCACHE_DATASET_REPO` | `your-username/agentcache-data` |
+   | `AGENTCACHE_SECRET` | A random secret (optional but recommended) |
+   | `GEMINI_API_KEY` | Gemini key (optional, enables vector search) |
+
+4. The Space boots, restores `agentcache.db` from the dataset repo, and starts the server
+
+### How sync works
+
+`sync.py` uses mtime fingerprinting — it only uploads when the database actually changed, so there are no unnecessary uploads during idle periods.
+
+```bash
+# Manual backup
+python sync.py
+
+# Environment for sync
+HF_TOKEN=...
+AGENTCACHE_DATASET_REPO=username/agentcache-data
+```
+
+---
+
+## Architecture
+
+```
+agentcache-python/
+├── src/
+│   ├── app.py          Flask server — all endpoints, WebSocket broadcaster
+│   ├── db.py           SQLite StateKV — WAL mode, audit_log table
+│   ├── functions.py    Core logic — observe, remember, search, context
+│   ├── search.py       BM25 + Gemini vector index + HybridSearch (RRF)
+│   └── viewer/
+│       └── index.html  Single-file HTML dashboard (no build step)
+├── sync.py             HuggingFace dataset backup/restore
+├── Dockerfile          HF Space container
+├── start.sh            Boot script (restore → start server → start sync)
+└── requirements.txt    6 Python dependencies, no external DB required
+```
+
+### Database layout
+
+Two SQLite tables in `~/.agentcache/agentcache.db`:
+
+```sql
+-- All data lives here, namespaced by scope
+kv_store (
+  scope TEXT NOT NULL,    -- e.g. "mem:sessions", "mem:obs:{session_id}"
+  key   TEXT NOT NULL,
+  value TEXT NOT NULL,    -- JSON-serialized
+  PRIMARY KEY (scope, key)
+)
+
+-- Audit trail replaces Dolt git versioning
+audit_log (
+  id       INTEGER PRIMARY KEY AUTOINCREMENT,
+  ts       INTEGER NOT NULL,   -- unix millis
+  agent_id TEXT NOT NULL,
+  message  TEXT NOT NULL
+)
+```
+
+### Search pipeline
+
+```
+Query
+  → BM25 (always)         — Porter-stemmed keyword matching
+  → Vector (if Gemini key) — 768-dim cosine similarity
+  → RRF fusion            — Reciprocal Rank Fusion (k=60)
+  → Session diversify     — max 3 results per session
+  → Return top-K
+```
+
+---
+
+## vs Original agentcache
+
+| | agentcache (Node.js) | agentcache-python |
+|---|---|---|
+| Runtime | Node.js 20+ | Python 3.10+ |
+| Storage | Dolt SQL (git-versioned MySQL) | SQLite WAL (single file) |
+| Engine dependency | iii-engine (separate binary) | None — just Flask |
+| Embeddings | 6 providers + local `@xenova/transformers` | Gemini 768-dim |
+| MCP tools | 53 | 31 |
+| REST endpoints | 128 | ~50 |
+| Deploy | npm, Docker, fly.io, Railway, Render | Docker, HuggingFace Spaces |
+| Cold boot | ~7s (iii engine warm-up) | <2s |
+| Database size | ~232MB (417 Dolt chunk files) | ~20MB (single `.db` file) |
+| Setup | `npm install -g @agentcache/agentcache` | `pip install -r requirements.txt` |
+
+Choose the Python version for: simpler setup, HF Space deployment, single-file database, no Node.js, or Python ecosystem integration.
+
+Choose the Node.js version for: the full 53-tool MCP surface, iii-engine observability, production multi-agent deployments, or the full auto-hook suite.
+
+---
+
+## Contributing
+
+See [CONTRIBUTING.md](CONTRIBUTING.md). Issues and PRs welcome.
+
+Priority areas: test coverage, additional embedding providers, more agent hook scripts.
+
+---
+
+## License
+
+Apache-2.0 — see [LICENSE](LICENSE).

agentcache.egg-info/SOURCES.txt

@@ -0,0 +1,59 @@
+LICENSE
+README.md
+pyproject.toml
+agentcache.egg-info/PKG-INFO
+agentcache.egg-info/SOURCES.txt
+agentcache.egg-info/dependency_links.txt
+agentcache.egg-info/entry_points.txt
+agentcache.egg-info/requires.txt
+agentcache.egg-info/top_level.txt
+src/__init__.py
+src/app.py
+src/cli.py
+src/connect.py
+src/db.py
+src/functions.py
+src/import_data.py
+src/mcp_stdio.py
+src/replay_import.py
+src/search.py
+src/viewer_helpers.py
+src/workers.py
+src/cache/__init__.py
+src/cache/context.py
+src/cache/graph.py
+src/cache/health.py
+src/cache/observe.py
+src/cache/remember.py
+src/cache/timeline.py
+src/routes/__init__.py
+src/routes/graph.py
+src/routes/health.py
+src/routes/mcp.py
+src/routes/memories.py
+src/routes/migration.py
+src/routes/observations.py
+src/routes/search.py
+src/storage/__init__.py
+src/storage/images.py
+src/storage/paths.py
+src/storage/scopes.py
+src/viewer/favicon.svg
+src/viewer/index.html
+tests/test_api.py
+tests/test_auth.py
+tests/test_context.py
+tests/test_debounce.py
+tests/test_folder_graph_build.py
+tests/test_folder_observe.py
+tests/test_forget.py
+tests/test_graph.py
+tests/test_migration.py
+tests/test_normalize.py
+tests/test_obs_lookup.py
+tests/test_observe_core.py
+tests/test_properties.py
+tests/test_remember.py
+tests/test_route_regressions.py
+tests/test_search.py
+tests/test_timeline.py

agentcache.egg-info/dependency_links.txt

@@ -0,0 +1 @@
+

agentcache.egg-info/entry_points.txt

@@ -0,0 +1,2 @@
+[console_scripts]
+agentcache = src.cli:main

agentcache.egg-info/requires.txt

@@ -0,0 +1,13 @@
+flask>=3.0.0
+flask-sock>=0.7.0
+requests>=2.31.0
+python-dateutil>=2.8.2
+huggingface_hub>=0.20.0
+websockets>=12.0
+
+[dev]
+pytest>=8.0.0
+hypothesis>=6.100.0
+
+[local-embeddings]
+sentence-transformers>=2.7.0

agentcache.egg-info/top_level.txt

@@ -0,0 +1 @@
+src