mirror of
https://github.com/punkpeye/awesome-mcp-servers.git
synced 2026-09-05 15:34:06 +00:00
Merge pull request #12735 from Vasilispapg/add-claude-handoff
Add claude-handoff — post-hoc Claude Code session handoff 🤖🤖🤖
This commit is contained in:
@@ -2271,6 +2271,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
|
|||||||
- [a2cr/a2cr](https://github.com/a2cr/a2cr) [](https://glama.ai/mcp/servers/a2cr/a2cr) 🐍 ☁️ 🏠 🍎 🪟 🐧 - MCP server for AI-agent handoffs. Saves client-encrypted WorkBaton checkpoints and WorkStash notes so Codex, Claude Code, Roo Code, and other MCP clients can resume work without passing full chat history.
|
- [a2cr/a2cr](https://github.com/a2cr/a2cr) [](https://glama.ai/mcp/servers/a2cr/a2cr) 🐍 ☁️ 🏠 🍎 🪟 🐧 - MCP server for AI-agent handoffs. Saves client-encrypted WorkBaton checkpoints and WorkStash notes so Codex, Claude Code, Roo Code, and other MCP clients can resume work without passing full chat history.
|
||||||
- [ahmetakyurt/zipmem-mcp](https://github.com/ahmetakyurt/zipmem-mcp) [](https://glama.ai/mcp/servers/ahmetakyurt/zipmem-mcp) 📇 🏠 - Local-first long-term memory for terminal AI agents (Claude Code et al.) via Anchored Compacting. Stores blueprints, code anchors (file→line→concept), and distilled lessons in a single JSON under `.zipmem/`, restoring full cross-session project context at near-zero token cost. No DB, no API keys, no embeddings. `npx zipmem-mcp`
|
- [ahmetakyurt/zipmem-mcp](https://github.com/ahmetakyurt/zipmem-mcp) [](https://glama.ai/mcp/servers/ahmetakyurt/zipmem-mcp) 📇 🏠 - Local-first long-term memory for terminal AI agents (Claude Code et al.) via Anchored Compacting. Stores blueprints, code anchors (file→line→concept), and distilled lessons in a single JSON under `.zipmem/`, restoring full cross-session project context at near-zero token cost. No DB, no API keys, no embeddings. `npx zipmem-mcp`
|
||||||
- [ihorponom/agentpack](https://github.com/ihorponom/agentpack) [](https://glama.ai/mcp/servers/ihorponom/agentpack) 📇 🏠 🍎 🪟 🐧 - Repo-native task continuity for AI coding agents: a reviewed task-state ledger (decisions, dead ends, evidence, checkpoints) in `.agentpack/` that any next session or client resumes from.
|
- [ihorponom/agentpack](https://github.com/ihorponom/agentpack) [](https://glama.ai/mcp/servers/ihorponom/agentpack) 📇 🏠 🍎 🪟 🐧 - Repo-native task continuity for AI coding agents: a reviewed task-state ledger (decisions, dead ends, evidence, checkpoints) in `.agentpack/` that any next session or client resumes from.
|
||||||
|
- [Vasilispapg/claude-handoff](https://github.com/Vasilispapg/claude-handoff) [](https://glama.ai/mcp/servers/Vasilispapg/claude-handoff) 🐍 🏠 🍎 🪟 🐧 - Post-hoc session handoff and project memory for Claude Code: turns any session transcript — including crashed or usage-limit-hit ones — into one clean handoff.md another model continues from (ChatGPT, Gemini, or the next Claude), and distills a project's ENTIRE session history into one cited memory brief injected at every session start. MCP tools `list_sessions` and `handoff` (LLM summaries only behind an explicit `--allow-llm`); zero dependencies, pure stdlib, secrets redacted from every output. `pipx install claude-handoff`, then `claude-handoff --mcp`.
|
||||||
- [aidesignblueprint/integrations](https://github.com/aidesignblueprint/integrations) [](https://glama.ai/mcp/servers/aidesignblueprint/integrations) 🐍 ☁️ - Read-only doctrine access for the Agentic AI Blueprint — the industry standard reference for safe, observable, and steerable AI agent UX. Browse and search 10 principles, clusters, curated implementation examples, and application guides for production agentic AI systems. 13 public tools require no credentials. `https://aidesignblueprint.com/mcp`
|
- [aidesignblueprint/integrations](https://github.com/aidesignblueprint/integrations) [](https://glama.ai/mcp/servers/aidesignblueprint/integrations) 🐍 ☁️ - Read-only doctrine access for the Agentic AI Blueprint — the industry standard reference for safe, observable, and steerable AI agent UX. Browse and search 10 principles, clusters, curated implementation examples, and application guides for production agentic AI systems. 13 public tools require no credentials. `https://aidesignblueprint.com/mcp`
|
||||||
- [aliasunder/vault-cortex](https://github.com/aliasunder/vault-cortex/) [](https://glama.ai/mcp/servers/aliasunder/vault-cortex) 📇 🏠 ☁️ - MCP server for Obsidian vaults — hybrid search, notes & files, memory, tasks, link graph, OAuth-protected.
|
- [aliasunder/vault-cortex](https://github.com/aliasunder/vault-cortex/) [](https://glama.ai/mcp/servers/aliasunder/vault-cortex) 📇 🏠 ☁️ - MCP server for Obsidian vaults — hybrid search, notes & files, memory, tasks, link graph, OAuth-protected.
|
||||||
- [andreas-roennestad/openhive-mcp](https://github.com/andreas-roennestad/openhive-mcp) [](https://glama.ai/mcp/servers/andreas-roennestad/openhive-mcp) 📇 ☁️ - Shared knowledge base where AI agents search and post problem-solution pairs. Agents query before solving, post after resolving. Semantic search via pgvector, duplicate detection, auto-scoring. `npx openhive-mcp`, Free to use
|
- [andreas-roennestad/openhive-mcp](https://github.com/andreas-roennestad/openhive-mcp) [](https://glama.ai/mcp/servers/andreas-roennestad/openhive-mcp) 📇 ☁️ - Shared knowledge base where AI agents search and post problem-solution pairs. Agents query before solving, post after resolving. Semantic search via pgvector, duplicate detection, auto-scoring. `npx openhive-mcp`, Free to use
|
||||||
|
|||||||
Reference in New Issue
Block a user