Run many AIs on one board and keep control of all of it. Deterministic code decides who acts — never a model. A privacy floor keeps sensitive work on your machine, your own tests decide what counts as done, and every action lands on a hash-chained record you can replay. Free, macOS today; cross-platform and teams next.
Fonte
GitHub
Ultima attività
3 set 2026
Stelle1Misurato · 21 ott 2026
Momentum07 giorni · Misurato · 0% variazione relativa
A local A2A event and continuity service for agent applications, with structured history, provenance-safe transcripts, literal search, and natural-language queries.
Fonte
GitHub
Linguaggio
Python
Ultima attività
2 lug 2026
Stelle1Misurato · 21 ott 2026
Momentum07 giorni · Misurato · 0% variazione relativa
Accountability layer for AI agents: run the client's executable acceptance tests, gate delivery, sign every step into a verifiable receipt. Pre-registered, replicated 5x, cross-benchmark.
Fonte
GitHub
Linguaggio
Python
Ultima attività
13 ott 2026
Stelle1Misurato · 21 ott 2026
Momentum07 giorni · Misurato · 0% variazione relativa
Local-first Agentic AI Infrastructure Platform with LLM Gateway, Agent DAG Runtime, MCP Tool Hub, A2A Agent Mesh, Local RAG, Tool Sandbox and Observability.
Fonte
GitHub
Linguaggio
Python
Ultima attività
21 ott 2026
Stelle1Misurato · 21 ott 2026
Momentum07 giorni · Misurato · 0% variazione relativa