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Python library ve CLI olarak görsel ve videolardaki bazı AI watermark işaretlerini ve provenance metadata'sını bulup kaldırmaya yönelik araçlar sunuyor.

Neden yükseliyor · 186 günlük bir repoda 5685 yıldız ve son 28 günde 150 commit dikkat çekiyor; bu, ilgi ve geliştirme etkinliği için güçlü bir sinyal. Ancak bu artışın nedenini veya kullanım başarısını verilen verilerden doğrulamak mümkün değil; son dönemdeki 3 farklı yazar katkının dar bir grupta yoğunlaşabileceğini gösteriyor.

The open-source governance layer for AI agents: write the rules declaratively, Bernstein enforces them and produces the verifiable, replayab

An open-source, PyTorch-like runtime for dynamic multi-agent and multi-session workflows.

The black box for AI-written code. Passive decision graph linking every commit to the agent prompts behind it: drift detection, DLP audit of

Open-source memory runtime for AI agents — reproducible, provenance-tagged context bundles instead of query-time retrieval. Apache-2.0, self

Feed your agent papers and half-formed ideas — it links them into a system design you can defend. Markdown keeps the record; a visual canvas

Governed, provenance-sealed creative rendering for Databricks — a Streamlit App + Unity Catalog ai_render() function that turns any governed

A work-centered runtime for agentic software engineering. Work persists; agents, context, and graphs assemble around it.

the governed runtime for agent skill workflows, off the leash but on the record

Local-first, governed documentation for humans and AI agents—mirror Office, PDF, and GitHub sources into linked Markdown knowledge workspace

A memory that's external, shareable & verifiable. Complements web search for real world tasks.

A local-first coding agent that doesn't take "done" on faith: the engine keeps the run going until the project's own tests pass, and every g

Find which script, notebook, data, command, or AI agent produced a file — locally, with evidence and honest uncertainty.

Security-oriented three-axis observability for sandboxed AI agents: model intent, app context, and runtime telemetry into verifiable evidenc

Grade every agent, scraper and model in a claim's chain — provenance, trust scoring and audit evidence for LLM pipelines

铃音的记忆写入协议 - an informatics protocol: fragmented, cue-based, symbolic, highly compressed information for AI agents; usable for memory writing

Git-native AI code provenance: records which AI agent wrote which line, signs each attribution with ed25519, stores it in your git history.

Self-hosted AI agent memory server with MCP, evidence provenance, typed claims, conflict detection, embeddings, recall, PostgreSQL, and pgve

Tamper-evident evidence and verification layer for AI agents. Verify any agent's session offline with just openssl. No cloud, no lock-in.

Lightweight RAG provenance middleware. Verifies every claim in an LLM response is grounded in a retrieved source - without an LLM call.