Receives giteaRepo + commitMessage, stages all workspace changes,
commits with the user-supplied message, pushes to Gitea, then
optionally calls Coolify /start to trigger a rolling redeploy.
Returns { committed, deployed, message } to the frontend.
Made-with: Cursor
- Add runSessionAgent: streaming variant of runAgent that PATCHes VIBN DB
after every LLM turn and tool call so frontend can poll live output
- Track changed files from write_file / replace_in_file tool calls
- Add /agent/execute: receives sessionId + giteaRepo + task, clones repo,
scopes workspace to appPath, runs Coder agent async (returns 202 immediately)
- Add /agent/stop: sets stopped flag; agent checks between turns and exits cleanly
- Agent does NOT commit on completion — leaves changes for user review/approval
Made-with: Cursor
- Add web_search to ATLAS_TOOLS filter (was only finalize_prd)
- Add Tools Available section to atlas prompt so it knows when/how to use it
Made-with: Cursor
- Add opening message instruction to atlas prompt
- Handle isInit flag in atlasChat() to not store the greeting trigger
as a user turn in conversation history
- Update server.ts to pass is_init through to atlasChat()
Made-with: Cursor
Atlas can now search the internet during product discovery conversations
to research competitors, pricing models, and market context. Uses Jina
AI's free search endpoint — no API key required.
Made-with: Cursor
Layer 1 — src/agents/ (thin agent definitions, no prompt text)
registry.ts — AgentConfig, registerAgent(), getAgent(), AGENTS proxy, pick()
orchestrator.ts, coder.ts, pm.ts, marketing.ts — one file each, just metadata + tool picks
index.ts — barrel: imports prompts then agents (correct registration order)
Layer 2 — src/prompts/ (prompt text separated from agent logic)
loader.ts — registerPrompt(), resolvePrompt() with {{variable}} substitution
orchestrator.ts, coder.ts, pm.ts, marketing.ts — prompt templates as registered strings
orchestrator.ts now uses resolvePrompt('orchestrator', { knowledge }) instead of
inline SYSTEM_PROMPT const; {{knowledge}} variable injects project memory cleanly.
agent-runner.ts uses resolvePrompt(config.promptId) per agent turn.
Layer 3 — src/tools/skills.ts (new skills capability)
list_skills(repo) — lists .skills/<name>/SKILL.md directories from a Gitea repo
get_skill(repo, name) — reads and returns the markdown body of a skill file
Orchestrator and all agents now have get_skill in their tool sets.
Orchestrator also has list_skills and references skills in its prompt.
Also fixed:
- server.ts now passes history + knowledge_context from request body to orchestratorChat()
(these were being sent by the frontend but silently dropped)
- server.ts imports PROTECTED_GITEA_REPOS from tools/security.ts (no more duplicate)
- Deleted src/agents.ts (replaced by src/agents/ directory)
Made-with: Cursor
Replaces the single 800-line tools.ts and its switch dispatcher with a
Theia-inspired registry pattern — each tool domain is its own file, and
dispatch is a plain Map.get() call with no central routing function.
New structure in src/tools/:
registry.ts — ToolDefinition (with handler), registerTool(), executeTool(), ALL_TOOLS
context.ts — ToolContext, MemoryUpdate interfaces
security.ts — PROTECTED_* constants + assertGiteaWritable/assertCoolifyDeployable
utils.ts — safeResolve(), EXCLUDED set
file.ts — read_file, write_file, replace_in_file, list_directory, find_files, search_code
shell.ts — execute_command
git.ts — git_commit_and_push
coolify.ts — coolify_*, list_all_apps, get_app_status, deploy_app
gitea.ts — gitea_*, list_repos, list_all_issues, read_repo_file
agent.ts — spawn_agent, get_job_status
memory.ts — save_memory
index.ts — barrel with side-effect imports + re-exports
Adding a new tool now requires only a new file + registerTool() call.
No switch statement, no shared array to edit. External API unchanged.
Made-with: Cursor
- Empty message fix: skip pushing assistant msg to history when both
content and tool_calls are absent (GLM-5 mid-reasoning token exhaustion).
Also filter preexisting empty assistant messages from returned history.
- System prompt now correctly injects knowledgeContext from opts into the
Tier-B system message (was missing in the loop's buildMessages).
- GITEA_API_TOKEN updated externally in Coolify (old token was invalid).
Made-with: Cursor
The VM's metadata server doesn't grant cloud-platform scope by default.
Read GOOGLE_APPLICATION_CREDENTIALS_JSON env var (service account key JSON)
and pass it directly to GoogleAuth. Falls back to metadata server if unset.
This restores GLM-5 access via Vertex AI.
Made-with: Cursor
gcloud is not available inside the Docker container. Use google-auth-library
instead, which reads credentials from the GCP metadata server (works on any
GCP VM) or GOOGLE_APPLICATION_CREDENTIALS env var. Also rebuilds dist/.
Made-with: Cursor
src/llm.ts was never committed — this caused the Docker build to fail
with "Cannot find module './llm'". Also commit updated agent-runner.ts,
agents.ts, and .env.example that reference the new LLM client.
Made-with: Cursor
- Dockerfile now runs tsc during build so committed dist/ is never stale
- ChatResult interface was missing history[] and memoryUpdates[] fields
- Re-add missing MemoryUpdate import in orchestrator.ts
- Rebuild dist/ with all new fields included
Made-with: Cursor
- ToolContext gets memoryUpdates[] — accumulated by save_memory calls
- orchestratorChat accepts preloadedHistory and knowledgeContext opts
- History trimmed to last 40 messages per turn (cost control)
- Knowledge items injected into system prompt as ## Project Memory
- ChatResult returns history[] and memoryUpdates[] for frontend persistence
- server.ts accepts history/knowledge_context from POST body
- save_memory tool: lets AI persist facts (key, type, value) to long-term memory
Made-with: Cursor
