L
LibreChat-AI/LibreChat
Chat app with agents, MCP and many model providers
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
我们没有从该仓库取到可核对的安装命令,也没有公开的远端端点。这两样都没有时,我们不出配置——编一条出来比不给更糟。 各客户端的接法 →
- 来源明细
- 收录自 abordage/awesome-mcp 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
- 收录与活跃
- 收录于 2026-11-05 · 最近见到 2026-11-14 · 共见到 10 次 · 被 10 个来源列出
- 评分构成
- 综合分 1,003 · 10 个来源 · mcp
常见问题(答案都来自我们的记录)
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
我们收录于 2026-11-05;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
LibreChat
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
English ·
中文
## 🚀 What's New in v0.8.8
Agent Management API (beta): Create, discover, update, and delete Agents; manage Agent files and Skills; and authenticate machine clients through deployment-bound OIDC identities while preserving existing role and Agent access controls. Public OpenAPI and Swagger UI cover inference, events, Agent management, and Skill management.
Attached workspaces (highly experimental): Select or save a per-Agent default workspace for each managed or personal code worker, then let Agents inspect trees, read and search files, author changes, and run Bash with bounded timeouts. Personal workers support bounded self-service enrollment, readiness status, and per-Agent Git identity.
Background tool controls: Optionally cancel ordinary background tools, including attached Bash, while keeping detached Subagent execution independent.
Code approval controls: Choose Ask, Allow, or Deny for file writes and command execution where administrators permit it, including a Full access mode for trusted attached environments. File Search and Run Code also honor role grants.
Manual context compaction: Start a summarize-only turn before the context window fills while preserving recent conversation content according to the deployment's summarization policy.
Context Usage: Inspect dialogue, retained tool traffic, Agent instructions, cache, cost, and runway pressure without double-counting category subsets.
Unified attachments: Upload once and let LibreChat route content to the model or extracted text, then provision File Search and Code tools only when needed.
Models: Added GPT-6 Astra and GPT-6.1 Sol, with Responses API routing and tool-call support.
Agent and chat UI: Unified tool activity, reasoning, search, and Agent workflows; added one draggable Pinned section for chats and favorites, morphing state icons, high-contrast themes, rich-text message copying, clearer sidebar titles, and refined live phase layouts.
Observability: Inspect ordered model conversations, tool rounds, and costs in the Trace Viewer; export correlated application logs through OpenTelemetry, configure allowlisted Langfuse trace identity and metadata, tag browser diagnostics with client build IDs, and scope Insights to authorized Agents.
Reliability and security: Strengthened Agent continuation and checkpoint recovery, Redis liveness detection, DocumentDB coordination, OpenID and MCP OAuth sessions, shared-link throttling, tenant isolation, attachment bounds, and upload error handling.
Read the full v0.8.8 changelog.
# ✨ Features
🖥️ UI & Experience inspired by ChatGPT with enhanced design and features
🤖 AI Model Selection:
Anthropic (Claude), AWS Bedrock, OpenAI, Azure OpenAI, Google, Vertex AI, OpenAI Responses API (incl. Azure)
Custom Endpoints: Use any OpenAI-compatible API with LibreChat, no proxy required
Compatible with Local & Remote AI Providers:
Ollama, AMD Lemonade, groq, Cohere, Mistral AI, Apple MLX, koboldcpp, together.ai,
OpenRouter, Helicone, Perplexity, ShuttleAI, Deepseek, Qwen, and more
🔧 Code Interpreter API:
Secure, Sandboxed Execution in Python, Node.js (JS/TS), Go, C/C++, Java, PHP, Rust, and Fortran
中文
## 🚀 What's New in v0.8.8
Agent Management API (beta): Create, discover, update, and delete Agents; manage Agent files and Skills; and authenticate machine clients through deployment-bound OIDC identities while preserving existing role and Agent access controls. Public OpenAPI and Swagger UI cover inference, events, Agent management, and Skill management.
Attached workspaces (highly experimental): Select or save a per-Agent default workspace for each managed or personal code worker, then let Agents inspect trees, read and search files, author changes, and run Bash with bounded timeouts. Personal workers support bounded self-service enrollment, readiness status, and per-Agent Git identity.
Background tool controls: Optionally cancel ordinary background tools, including attached Bash, while keeping detached Subagent execution independent.
Code approval controls: Choose Ask, Allow, or Deny for file writes and command execution where administrators permit it, including a Full access mode for trusted attached environments. File Search and Run Code also honor role grants.
Manual context compaction: Start a summarize-only turn before the context window fills while preserving recent conversation content according to the deployment's summarization policy.
Context Usage: Inspect dialogue, retained tool traffic, Agent instructions, cache, cost, and runway pressure without double-counting category subsets.
Unified attachments: Upload once and let LibreChat route content to the model or extracted text, then provision File Search and Code tools only when needed.
Models: Added GPT-6 Astra and GPT-6.1 Sol, with Responses API routing and tool-call support.
Agent and chat UI: Unified tool activity, reasoning, search, and Agent workflows; added one draggable Pinned section for chats and favorites, morphing state icons, high-contrast themes, rich-text message copying, clearer sidebar titles, and refined live phase layouts.
Observability: Inspect ordered model conversations, tool rounds, and costs in the Trace Viewer; export correlated application logs through OpenTelemetry, configure allowlisted Langfuse trace identity and metadata, tag browser diagnostics with client build IDs, and scope Insights to authorized Agents.
Reliability and security: Strengthened Agent continuation and checkpoint recovery, Redis liveness detection, DocumentDB coordination, OpenID and MCP OAuth sessions, shared-link throttling, tenant isolation, attachment bounds, and upload error handling.
Read the full v0.8.8 changelog.
# ✨ Features
🖥️ UI & Experience inspired by ChatGPT with enhanced design and features
🤖 AI Model Selection:
Anthropic (Claude), AWS Bedrock, OpenAI, Azure OpenAI, Google, Vertex AI, OpenAI Responses API (incl. Azure)
Custom Endpoints: Use any OpenAI-compatible API with LibreChat, no proxy required
Compatible with Local & Remote AI Providers:
Ollama, AMD Lemonade, groq, Cohere, Mistral AI, Apple MLX, koboldcpp, together.ai,
OpenRouter, Helicone, Perplexity, ShuttleAI, Deepseek, Qwen, and more
🔧 Code Interpreter API:
Secure, Sandboxed Execution in Python, Node.js (JS/TS), Go, C/C++, Java, PHP, Rust, and Fortran
收录徽章(可选)
想把收录标记放进 README 就复制这行,可选,不影响收录。
[](https://anclum.com/zh/s/librechat-ai-librechat/)
- 来源
- awesome · https://github.com/LibreChat-AI/LibreChat
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- MCP 服务
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