Search Results for "shared memory allocator"
Sort By:
Showing 152 open source projects for "shared memory allocator"
View related business solutions-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
1
codebase-memory-mcp
High-performance code intelligence MCP server
...It is built for speed, with average repositories indexed in milliseconds and structural queries answered in under one millisecond. It ships as a single static binary for macOS, Linux, and Windows with no shared library dependencies. It also includes semantic search, BM25 search, graph visualization, auto-indexing, and cross-repository intelligence. -
2
Bumper.jl
Bring Your Own Stack
Bumper.jl is a package that aims to make working with bump allocators (also known as arena allocators) easier and safer. You can dynamically allocate memory to these bump allocators, and reset them at the end of a code block, just like Julia's stack. Allocating to a bump allocator with Bumper.jl can be just as efficient as stack allocation. Bumper.jl is still a young package, and may have bugs. Let me know if you find any. -
3
OpenSquilla
Token-Efficient AI Agent with same budget, higher intelligence density
OpenSquilla is a token-efficient microkernel AI agent runtime designed for CLI, web UI, and chat-based workflows. It routes each turn through a shared loop that can select lower-cost models when appropriate while preserving tool dispatch, retries, memory, and decision logging. The project supports multiple LLM providers through a pluggable provider layer, making it adaptable to different model ecosystems. It includes persistent memory, built-in web search, on-device embeddings, and sandboxing for safer execution. ... -
4
Memmy
AI agent & local memory hub for all AI agents
Memmy Agent is a local-first personal AI runtime and shared memory hub for multiple assistants. It collects and structures knowledge, preferences, project history, and prior conversations so tools such as Claude Code, Codex, Cursor, OpenClaw, and Hermes Agent can reuse the same context. Historical sessions can be imported and converted into searchable long-term memory instead of remaining isolated in separate applications. -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
-
5
MemClaw
Persistent memory for AI agent fleets (OSS)
MemClaw is an open-source governed shared memory platform for AI agent fleets. It is designed to help agents remember information across sessions, teams, tools, and models instead of keeping knowledge trapped inside isolated conversations. The project emphasizes enterprise-style governance, including permissions, tenant isolation, audit trails, visibility scopes, and agent trust tiers. -
6
Cumora
Where agent teams gather. Cross-platform team chat
Cumora is a cross-platform team chat where humans and AI agents participate as peers in conversations and shared work. Agents can maintain personas and memory, claim tasks, coordinate with one another, send and receive email, and use shared Kanban and calendar views. Teams can run agents through Cumora Cloud or bring their own Claude Code or Codex environment from a Mac or VPS. Cloud agents receive isolated runtime pods with access to tools such as shell commands, files, browsers, email, memory, and skills. ... -
7
Hivemind
Hivemind turns your traces into reusable skills across agents
Hivemind is a shared memory and skill system for AI coding agents. It captures agent sessions as structured traces, including prompts, tool calls, responses, and subagent activity. The system mines those traces for repeated patterns and turns them into reusable skills that can be shared across a team. It supports agents such as Claude Code, OpenClaw, Codex, Cursor, Hermes, and pi. -
8
Wandesk
Give intelligence shape. Let AI sculpt your desktop
...Built-in apps include Chat, Notebook, Ledger, Memory, Files, Tasks, Settings, Claude Code, Codex, and Open Source Radar. It is useful for users who want an AI workspace where apps, memory, and coding agents share context instead of living in separate chat threads. -
9
EverOS
One portable memory layer for every AI agent
...The system is designed to preserve user context and agent experience across sessions without forcing dependence on a hosted service. EverOS can serve as shared memory infrastructure for coding assistants, personal agents, and custom applications. Its architecture emphasizes user ownership, portability, and self-evolving reuse of accumulated knowledge. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
-
10
Macro
Macro is a unified interface for email, messages, tasks, calls, agents
Macro is an open-source all-in-one workspace that combines email, messages, docs, tasks, calls, agents, pull requests, files, and CRM into one connected interface. It is designed around shared team memory, so information across the workspace can be linked, queried, and used by people or AI agents without losing context. The product emphasizes keyboard-first speed, unified communication, and a single inbox for emails, mentions, tasks, channel updates, and agent responses. Its docs system is collaborative, markdown-native, version-controlled, and built for real-time work. ... -
11
Rakazo
Open-source Grok Bot alternative. Choose your own model and sandbox
Rakazo is an open-source platform for running persistent AI teammates across web, desktop, and mobile clients. Each bot maintains its own conversations, memory, routines, and history instead of acting as a disposable chat session. Bots can use browsers, terminals, files, and graphical desktops through shared team computers or isolated private environments. They can delegate work to peer bots or temporary subagents and can use user-provided model credentials. Integrations are available through Composio, Pipedream Connect, remote MCP servers, OpenAPI tools, and other supported sources. ... -
12
Agent-Native
A framework for building agentic apps
...Each capability is defined once as an action that can be called by both the agent and the user interface. The same actions can also be exposed through HTTP, MCP, A2A, and command-line interfaces. Shared data and application state let agents see relevant UI context and immediately surface their work back to users. The framework includes chat, authentication, permissions, skills, memory, automations, agent teams, and PostgreSQL-backed persistence. It supports PGlite for local development and lets developers bring their own models, databases, tools, and infrastructure. ... -
13
Former.skill
AI skill generator designed to reconstruct conversational personality
Ex Skill is an AI skill generator designed to reconstruct the conversational personality and shared memories of a former partner from personal data. It can analyze exported chats, photos, social media records, PDFs, images, and manually entered descriptions. The system builds separate memory and persona layers covering relationship history, habits, emotional patterns, communication style, and behavior. Generated personas can respond in a style modeled after the source material. ... -
14
yyjson
The fastest JSON library in C
A high-performance JSON library written in ANSI C. -
15
OpenGL Mathematics
Highly Optimized Graphics Math (glm) for C
...Euler angles was implemented in reverse order (extrinsic) it was fixed, now they are intrinsic. Make sure that you have the latest version. vec4 and mat4 variables must be aligned. (There will be unaligned versions later). cglm doesn't alloc any memory on heap. So it doesn't provide any allocator. You should alloc memory for out parameters too if you pass pointer of memory location. -
16
I hate money
A simple shared budget manager web application
I hate money is a web application made to ease shared budget management. It keeps track of who bought what, when, and for whom; and helps to settle the bills. I hate money is written in python, using the flask framework. It’s developed with ease of use in mind and is trying to keep things simple. Hope you (will) like it! The code is distributed under a BSD beerware derivative: if you meet the people in person and you want to pay them a craft beer, you are highly encouraged to do so. -
17
Alook
The collaboration layer for your AI workforce
...Alook also emphasizes memory and traceability, so agents can remember past decisions, learn preferences, and keep a record of instructions and replies. Its main value is turning separate AI coding tools into an organized, always-on operating system for agent-based work. -
18
Gocache
Go cache library that brings you multiple ways to manage caches
Guess what is Gocache? a Go cache library. This is an extendable cache library that brings you a lot of features for caching data. Multiple cache stores: actually in memory, redis, or your own custom store. A chain cache: use multiple cache with a priority order (memory then fallback to a redis shared cache for instance) A loadable cache: allow you to call a callback function to put your data back in cache. A metric cache to let you store metrics about your caches usage (hits, miss, set success, set error, ...) ... -
19
Perfetto
Production-grade client-side tracing, profiling, and analysis
Perfetto is a production-grade tracing platform for Android, Linux, and Chrome that captures extremely detailed information about what a system is doing over time. It’s designed around a low-overhead producer/consumer model: instrumented components (“producers”) write binary events into shared memory buffers and a collector (“service”) reliably streams them to storage. The data model spans kernel and userspace, so you can stitch together CPU scheduling, app lifecycles, binder/IPC hops, GPU work, power and thermal signals, file I/O, heap samples, and more into a single coherent timeline. Perfetto’s ecosystem includes a web-based UI that can load multi-GB traces directly in the browser and an offline “trace processor” that exposes the trace as a queryable SQL-like table schema for deep analysis and automation. ... -
20
QM
Multiplayer agent harness for work
QM is an open-source multiplayer agent harness designed for startup teams and company-wide AI work. Each person, channel, and project receives its own scoped memory, files, credentials, permissions, schedules, web apps, and durable sandbox. The same agent identity and configuration can operate through Slack or the web interface. Teams can choose among supported models and harnesses, including Pi, OpenCode, Codex, and Claude Code, without binding the deployment to one vendor. Administrators control organization settings, available models, shared skills, and security posture. ... -
21
ORG-2
Open-source Cursor-style agent IDE
...It presents AI agents as persistent, observable collaborators inside a structured software organization rather than as isolated coding assistants. The project focuses on reviewability, control, replayable execution, cross-session memory, and shared workspace state. It supports local-first execution and is designed to stay lightweight on disk. ORG2 includes GUI, CLI, terminal, Git, browser, LSP, timeline, and database tooling for coordinating development activity. Overall, it is an experimental environment for teams and builders who want AI coding agents to be easier to audit, schedule, supervise, and align with human goals. -
22
Cindy
The open-source AI agent that works out of the box
...Persistent memory, reusable skills, scheduled automation, MCP integrations, and planned plugins let the system adapt over time. The client includes Electron desktop and Expo-based mobile applications in a shared pnpm monorepo. Users can connect Cindy's hosted service, existing coding subscriptions, personal API keys, or local models. -
23
rustix
Safe Rust bindings to POSIX-ish APIs
rustix provides efficient memory-safe and I/O-safe wrappers to POSIX-like, Unix-like, Linux, and Winsock syscall-like APIs, with configurable backends. It uses Rust references, slices, and return values instead of raw pointers, and I/O safety types instead of raw file descriptors, providing memory safety, I/O safety, and provenance. It uses Results for reporting errors, bitflags instead of bare integer flags, an Arg trait with optimizations to efficiently accept any Rust string type, and... -
24
Coost
A tiny boost library in C++11
coost is an elegant and efficient cross-platform C++ base library. Its goal is to create a sword of C++ to make C++ programming easy and enjoyable. Coost, co for short, is like boost, but more lightweight, the static library built on Linux or Mac is only about 1MB in size. log supports two types of logs: one is level log, which is divided into 5 levels: debug, info, warning, error, and fatal, printing a fatal log will terminate the program; the other is topic log, logs are grouped by topic... -
25
Zephir
Compiled high level language aimed to the creation of C-extensions
...Zephir combines static and dynamic typing in a friendly language that is compiled down to machine code using the industry-standard compilers. Despite being a compiled language, it does not allow you to use pointers, it provides a garbage collector to avoid memory leaks and more. Zephir takes advantage of the extension ecosystem available in PHP to allow you to create your own extensions as shared libraries in Linux/OSX and DLLs on Windows. Zephir, an open-source, high-level language designed to ease the creation and maintainability of extensions for PHP with a focus on type and memory safety. ...
