Search Results for "shared memory"
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Showing 203 open source projects for "shared memory"
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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. -
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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. -
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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. ... -
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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. -
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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. -
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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. -
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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, ...) ... -
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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. -
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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. ... -
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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. ... -
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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. -
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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. ... -
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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. ... -
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OpenMeld
The open-source collaboration system for people and AI agents
OpenMeld is an open-source collaboration platform that allows people and AI agents to coordinate projects, share information, and execute tasks together. It provides shared workspaces with team conversations, files, task assignments, and a persistent knowledge base. Users can collaborate with hosted cloud agents or connect local coding assistants such as Codex, Claude Code, OpenCode, and Cursor. Its Center Agent helps coordinate work, maintain context, and preserve memory across conversations. Team members can delegate tasks, review results, and require approval before work is marked complete. ... -
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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. -
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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. ... -
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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. ... -
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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... -
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Strata
Qwen3.8-Flash-Next on any consumer hardware
...Optional image input and several quantized model sizes allow users to balance memory use, speed, and quality. -
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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. ... -
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StringZilla
10x faster string search, split, sort, and shuffle for long strings
...The implementation fits into a single C 99 header file and uses different SIMD flavors and SWAR on older platforms. The Str is designed to replace long Python str strings and wrap our C-level API. On the other hand, the File memory-maps a file from persistent memory without loading its copy into RAM. The contents of that file would remain immutable, and the mapping can be shared by multiple Python processes simultaneously. A standard dataset pre-processing use case would be to map a sizeable textual dataset like Common Crawl into memory, spawn child processes, and split the job between them. -
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TurboFieldfare
Gemma 4 26B-A4B inference in ~2 GB of RAM on any M-series MacBook
TurboFieldfare is a custom Swift and Metal runtime for running the instruction-tuned Gemma 4 26B-A4B model on Apple Silicon Macs with limited memory. Instead of loading the entire model, it keeps the shared core and KV cache in RAM while streaming only the routed experts required for each token from SSD. This approach reduces active memory use to roughly 2 GB while the installed model occupies about 14.3 GB of storage. The project includes a native Mac application, command-line tools, a streaming installer, a Swift library, and an experimental OpenAI-compatible local server. ... -
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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. -
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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. ... -
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Vellum
A personal AI assistant that evolves with you
Vellum is an open-source personal AI assistant platform designed to function as a persistent, autonomous digital companion across desktop and messaging environments. Unlike traditional chatbot interfaces, the project focuses on long-term memory, identity, proactive behavior, and real-world tool usage, enabling assistants to evolve alongside the user over time. The system integrates with macOS, Telegram, Slack, SMS, and additional communication channels while maintaining shared memory and context across platforms. Its architecture combines local-first storage, tool orchestration, sandboxed execution, and extensible workflow automation to allow assistants to read files, manage schedules, send messages, browse the web, and control applications. ...
