{"id":50585006,"url":"https://github.com/sagebynature/signal-graph","last_synced_at":"2026-06-05T05:30:47.952Z","repository":{"id":345682784,"uuid":"1186871474","full_name":"sagebynature/signal-graph","owner":"sagebynature","description":"CLI-first trading research toolkit for turning market events into explainable trade hypotheses with explicit provenance.","archived":false,"fork":false,"pushed_at":"2026-04-12T18:25:11.000Z","size":474,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-04-12T20:14:52.728Z","etag":null,"topics":["cli","knowledge-graph","market-research","neo4j","provenance","python","sqlite","trading"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/sagebynature.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2026-03-20T04:35:39.000Z","updated_at":"2026-04-12T18:25:19.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/sagebynature/signal-graph","commit_stats":null,"previous_names":["sagebynature/signal-graph"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/sagebynature/signal-graph","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sagebynature%2Fsignal-graph","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sagebynature%2Fsignal-graph/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sagebynature%2Fsignal-graph/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sagebynature%2Fsignal-graph/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sagebynature","download_url":"https://codeload.github.com/sagebynature/signal-graph/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sagebynature%2Fsignal-graph/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33932040,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-05T02:00:06.157Z","response_time":120,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["cli","knowledge-graph","market-research","neo4j","provenance","python","sqlite","trading"],"created_at":"2026-06-05T05:30:46.805Z","updated_at":"2026-06-05T05:30:47.945Z","avatar_url":"https://github.com/sagebynature.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Signal Graph\n\n`Signal Graph` is a local, CLI-first **memory and decision-support system** for humans and AI tools.\n\nIt captures provenance-rich signals, journals them into a graph-backed path, recalls prior activity with deterministic artifacts, and exposes the same runtime through CLI and MCP surfaces.\n\n## Supported Command Surface\n\nPrimary user-facing commands:\n\n- `signal-graph doctor`\n- `signal-graph init`\n- `signal-graph bootstrap-describe`\n- `signal-graph automation-describe`\n- `signal-graph capture-signal`\n- `signal-graph journalize-signal`\n- `signal-graph recall-signal`\n- `signal-graph integration-install`\n- `signal-graph integration-audit`\n- `signal-graph integration-uninstall`\n- `signal-graph mcp-server`\n- `signal-graph-mcp`\n\n## What Signal Graph Does\n\n- capture owner- and actor-scoped signals with explicit provenance\n- preserve raw evidence and artifact references locally\n- journal signals into a graph-backed path for later explanation\n- recall prior work by query, session, source, or runtime\n- expose the same system through a local MCP transport for tool integrations\n\n## Quick Start\n\n### 1. Verify prerequisites\n\n```bash\nuv run signal-graph doctor --json\n```\n\n### 2. Initialize local state\n\n```bash\nuv run signal-graph init\n```\n\nThis creates `.signal-graph/cache/`, `.signal-graph/artifacts/`, and `.signal-graph/signal_graph.db`.\n\n### 3. Inspect the bootstrap contract\n\n```bash\nuv run signal-graph bootstrap-describe --format markdown\n```\n\nThe bootstrap contract is the canonical runtime guide for supported entrypoints, smoke steps, and MCP expectations.\n\n### 4. Capture, journal, and recall a signal\n\n```bash\nuv run signal-graph capture-signal           --text \"Agent completed the release checklist signal.\"           --origin-type agent_artifact           --source-name codex           --process codex           --runtime-family codex           --session-id session-a           --intent-status explicit           --why \"Safely finish the release.\"           --what release           --where notes/release.md\n\nuv run signal-graph journalize-signal --signal SIGNAL_ID\nuv run signal-graph recall-signal --query release\n```\n\n### 5. Inspect automation and host integration guidance\n\n```bash\nuv run signal-graph automation-describe --format markdown\nuv run signal-graph integration-install --host claude-code\nuv run signal-graph integration-audit --host claude-code --json\n```\n\n## MCP Runtime\n\n`Signal Graph` ships a published stdio MCP entrypoint and an equivalent CLI launch path:\n\n- `signal-graph-mcp`\n- `signal-graph mcp-server`\n\nHost integration examples and validation evidence live under `docs/integrations/`.\n\n## Documentation Map\n\n- `docs/README.md` — documentation guide and reading paths\n- `docs/runbooks/operator-guide.md` — runtime, bootstrap, automation, and troubleshooting guidance\n- `docs/overview/product.md` — product framing and supported use cases\n- `docs/architecture/system-overview.md` — architecture boundaries and storage/transport model\n- `docs/integrations/README.md` — MCP host matrix and installation examples\n\n## Current Scope\n\nSignal Graph is intentionally local-first. It favors explicit commands, deterministic artifacts, and inspectable provenance over hidden automation or a dashboard-first UI.\n\nNon-goals for this cut:\n\n- opaque autonomous decision-making\n- public multi-tenant hosting\n- mutating raw truth when later corrections arrive\n- unsupported legacy workflow compatibility\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsagebynature%2Fsignal-graph","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsagebynature%2Fsignal-graph","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsagebynature%2Fsignal-graph/lists"}